NASA Logo, National Aeronautics and Space Administration

National Aeronautics and Space Administration

Search Criteria

  • By Program: CMS

Hu, L., Andrews, A. E., Thoning, K. W., Sweeney, C., Miller, J. B., Michalak, A. M., Dlugokencky, E., Tans, P. P., Shiga, Y. P., Mountain, M., Nehrkorn, T., Montzka, S. A., McKain, K., Kofler, J., Trudeau, M., Michel, S. E., Biraud, S. C., Fischer, M. L., Worthy, D. E. J., Vaughn, B. H., White, J. W. C., Yadav, V., Basu, S., van der Velde, I. R. 2019. Enhanced North American carbon uptake associated with El Nino. Science Advances. 5(6), eaaw0076. doi: 10.1126/sciadv.aaw0076 ( 5 citations )   [quad chart]
Shiga, Y. P., Tadic, J. M., Qiu, X., Yadav, V., Andrews, A. E., Berry, J. A., Michalak, A. M. 2018. Atmospheric CO2 Observations Reveal Strong Correlation Between Regional Net Biospheric Carbon Uptake and Solar-Induced Chlorophyll Fluorescence. Geophysical Research Letters. 45(2), 1122-1132. doi: 10.1002/2017GL076630 ( 7 citations )   [quad chart]

Gourdji, S. M., Hirsch, A. I., Mueller, K. L., Yadav, V., Andrews, A. E., Michalak, A. M. 2010. Regional-scale geostatistical inverse modeling of North American CO2 fluxes: a synthetic data study. Atmospheric Chemistry and Physics. 10(13), 6151-6167. doi: 10.5194/acp-10-6151-2010 ( 48 citations ) 
Gourdji, S. M., Mueller, K. L., Yadav, V., Huntzinger, D. N., Andrews, A. E., Trudeau, M., Petron, G., Nehrkorn, T., Eluszkiewicz, J., Henderson, J., Wen, D., Lin, J., Fischer, M., Sweeney, C., Michalak, A. M. 2012. North American CO2 exchange: inter-comparison of modeled estimates with results from a fine-scale atmospheric inversion. Biogeosciences. 9(1), 457-475. doi: 10.5194/bg-9-457-2012 ( 77 citations ) 
Hu, L., Andrews, A. E., Thoning, K. W., Sweeney, C., Miller, J. B., Michalak, A. M., Dlugokencky, E., Tans, P. P., Shiga, Y. P., Mountain, M., Nehrkorn, T., Montzka, S. A., McKain, K., Kofler, J., Trudeau, M., Michel, S. E., Biraud, S. C., Fischer, M. L., Worthy, D. E. J., Vaughn, B. H., White, J. W. C., Yadav, V., Basu, S., van der Velde, I. R. 2019. Enhanced North American carbon uptake associated with El Nino. Science Advances. 5(6), eaaw0076. doi: 10.1126/sciadv.aaw0076 ( 5 citations )   [quad chart]
Nehrkorn, T., Eluszkiewicz, J., Wofsy, S. C., Lin, J. C., Gerbig, C., Longo, M., Freitas, S. 2010. Coupled weather research and forecasting-stochastic time-inverted lagrangian transport (WRF-STILT) model. Meteorology and Atmospheric Physics. 107(1-2), 51-64. doi: 10.1007/s00703-010-0068-x ( 111 citations ) 
Yadav, V., Michalak, A. M. 2013. Improving computational efficiency in large linear inverse problems: an example from carbon dioxide flux estimation. Geoscientific Model Development. 6(3), 583-590. doi: 10.5194/gmd-6-583-2013 ( 20 citations ) 

Hu, L., Andrews, A. E., Thoning, K. W., Sweeney, C., Miller, J. B., Michalak, A. M., Dlugokencky, E., Tans, P. P., Shiga, Y. P., Mountain, M., Nehrkorn, T., Montzka, S. A., McKain, K., Kofler, J., Trudeau, M., Michel, S. E., Biraud, S. C., Fischer, M. L., Worthy, D. E. J., Vaughn, B. H., White, J. W. C., Yadav, V., Basu, S., van der Velde, I. R. 2019. Enhanced North American carbon uptake associated with El Nino. Science Advances. 5(6), eaaw0076. doi: 10.1126/sciadv.aaw0076 ( 5 citations )   [quad chart]
Miller, S. M., Michalak, A. M. 2020. The impact of improved satellite retrievals on estimates of biospheric carbon balance. Atmospheric Chemistry and Physics. 20(1), 323-331. doi: 10.5194/acp-20-323-2020 ( 1 citations ) 

Silva, S. J., Arellano, A. F., Worden, H. M. 2013. Toward anthropogenic combustion emission constraints from space-based analysis of urban CO 2 /CO sensitivity. Geophysical Research Letters. 40(18), 4971-4976. doi: 10.1002/grl.50954 ( 33 citations ) 

Chen, J. M., Fung, J. W., Mo, G., Deng, F., West, T. O. 2015. Atmospheric inversion of surface carbon flux with consideration of the spatial distribution of US crop production and consumption. Biogeosciences. 12(2), 323-343. doi: 10.5194/bg-12-323-2015 ( 4 citations ) 
Chen, M., Rafique, R., Asrar, G. R., Bond-Lamberty, B., Ciais, P., Zhao, F., Reyer, C. P. O., Ostberg, S., Chang, J., Ito, A., Yang, J., Zeng, N., Kalnay, E., West, T., Leng, G., Francois, L., Munhoven, G., Henrot, A., Tian, H., Pan, S., Nishina, K., Viovy, N., Morfopoulos, C., Betts, R., Schaphoff, S., Steinkamp, J., Hickler, T. 2017. Regional contribution to variability and trends of global gross primary productivity. Environmental Research Letters. 12(10), 105005. doi: 10.1088/1748-9326/aa8978 ( 24 citations ) 
Gulbeyaz, O., Bond-Lamberty, B., Akyurek, Z., West, T. O. 2018. A new approach to evaluate the MODIS annual NPP product (MOD17A3) using forest field data from Turkey. International Journal of Remote Sensing. 39(8), 2560-2578. doi: 10.1080/01431161.2018.1430913 ( 3 citations ) 
King, A. W., Andres, R. J., Davis, K. J., Hafer, M., Hayes, D. J., Huntzinger, D. N., de Jong, B., Kurz, W. A., McGuire, A. D., Vargas, R., Wei, Y., West, T. O., Woodall, C. W. 2015. North America's net terrestrial CO2 exchange with the atmosphere 1990-2009. Biogeosciences. 12(2), 399-414. doi: 10.5194/bg-12-399-2015 ( 37 citations ) 
Luo, Y., Ahlstrom, A., Allison, S. D., Batjes, N. H., Brovkin, V., Carvalhais, N., Chappell, A., Ciais, P., Davidson, E. A., Finzi, A., Georgiou, K., Guenet, B., Hararuk, O., Harden, J. W., He, Y., Hopkins, F., Jiang, L., Koven, C., Jackson, R. B., Jones, C. D., Lara, M. J., Liang, J., McGuire, A. D., Parton, W., Peng, C., Randerson, J. T., Salazar, A., Sierra, C. A., Smith, M. J., Tian, H., Todd-Brown, K. E. O., Torn, M., van Groenigen, K. J., Wang, Y. P., West, T. O., Wei, Y., Wieder, W. R., Xia, J., Xu, X., Xu, X., Zhou, T. 2016. Toward more realistic projections of soil carbon dynamics by Earth system models. Global Biogeochemical Cycles. 30(1), 40-56. doi: 10.1002/2015GB005239 ( 186 citations ) 
Ogle, S. M., Davis, K., Lauvaux, T., Schuh, A., Cooley, D., West, T. O., Heath, L. S., Miles, N. L., Richardson, S., Breidt, F. J., Smith, J. E., McCarty, J. L., Gurney, K. R., Tans, P., Denning, A. S. 2015. An approach for verifying biogenic greenhouse gas emissions inventories with atmospheric CO 2 concentration data. Environmental Research Letters. 10(3), 034012. doi: 10.1088/1748-9326/10/3/034012 ( 18 citations ) 
West, T. O., Le Page, Y., Huang, M., Wolf, J., Thomson, A. M. 2014. Downscaling global land cover projections from an integrated assessment model for use in regional analyses: results and evaluation for the US from 2005 to 2095. Environmental Research Letters. 9(6), 064004. doi: 10.1088/1748-9326/9/6/064004 ( 20 citations ) 
Wolf, J., Asrar, G. R., West, T. O. 2017. Revised methane emissions factors and spatially distributed annual carbon fluxes for global livestock. Carbon Balance and Management. 12(1). doi: 10.1186/s13021-017-0084-y ( 49 citations ) 
Wolf, J., West, T. O., Le Page, Y., Kyle, G. P., Zhang, X., Collatz, G. J., Imhoff, M. L. 2015. Biogenic carbon fluxes from global agricultural production and consumption. Global Biogeochemical Cycles. 29(10), 1617-1639. doi: 10.1002/2015GB005119 ( 27 citations ) 
Zeng, N., Zhao, F., Collatz, G. J., Kalnay, E., Salawitch, R. J., West, T. O., Guanter, L. 2014. Agricultural Green Revolution as a driver of increasing atmospheric CO2 seasonal amplitude. Nature. 515(7527), 394-397. doi: 10.1038/nature13893 ( 83 citations ) 
Zhang, X., Izaurralde, R. C., Manowitz, D. H., Sahajpal, R., West, T. O., Thomson, A. M., Xu, M., Zhao, K., LeDuc, S. D., Williams, J. R. 2015. Regional scale cropland carbon budgets: Evaluating a geospatial agricultural modeling system using inventory data. Environmental Modelling & Software. 63, 199-216. doi: 10.1016/j.envsoft.2014.10.005 ( 37 citations ) 

Baccini, A., Walker, W., Carvalho, L., Farina, M., Sulla-Menashe, D., Houghton, R. A. 2017. Tropical forests are a net carbon source based on aboveground measurements of gain and loss. Science. 358(6360), 230-234. doi: 10.1126/science.aam5962 ( 234 citations ) 
Treuhaft, R., Lei, Y., Goncalves, F., Keller, M., Santos, J., Neumann, M., Almeida, A. 2017. Tropical-Forest Structure and Biomass Dynamics from TanDEM-X Radar Interferometry. Forests. 8(8), 277. doi: 10.3390/f8080277 ( 17 citations ) 
Walker, W. S., Gorelik, S. R., Baccini, A., Aragon-Osejo, J. L., Josse, C., Meyer, C., Macedo, M. N., Augusto, C., Rios, S., Katan, T., de Souza, A. A., Cuellar, S., Llanos, A., Zager, I., Mirabal, G. D., Solvik, K. K., Farina, M. K., Moutinho, P., Schwartzman, S. 2020. The role of forest conversion, degradation, and disturbance in the carbon dynamics of Amazon indigenous territories and protected areas. Proceedings of the National Academy of Sciences. 117(6), 3015-3025. doi: 10.1073/pnas.1913321117 ( 8 citations ) 
Wigneron, J., Fan, L., Ciais, P., Bastos, A., Brandt, M., Chave, J., Saatchi, S., Baccini, A., Fensholt, R. 2020. Tropical forests did not recover from the strong 2015-2016 El Nino event. Science Advances. 6(6), eaay4603. doi: 10.1126/sciadv.aay4603 ( 10 citations ) 

Basu, S., Baker, D. F., Chevallier, F., Patra, P. K., Liu, J., Miller, J. B. 2018. The impact of transport model differences on CO2 surface flux estimates from OCO-2 retrievals of column average CO2. Atmospheric Chemistry and Physics. 18(10), 7189-7215. doi: 10.5194/acp-18-7189-2018 ( 23 citations ) 

Arrigo, K. R., Perovich, D. K., Pickart, R. S., Brown, Z. W., van Dijken, G. L., Lowry, K. E., Mills, M. M., Palmer, M. A., Balch, W. M., Bates, N. R., Benitez-Nelson, C. R., Brownlee, E., Frey, K. E., Laney, S. R., Mathis, J., Matsuoka, A., Greg Mitchell, B., Moore, G. W. K., Reynolds, R. A., Sosik, H. M., Swift, J. H. 2014. Phytoplankton blooms beneath the sea ice in the Chukchi sea. Deep Sea Research Part II: Topical Studies in Oceanography. 105, 1-16. doi: 10.1016/j.dsr2.2014.03.018 ( 121 citations ) 
Balch, W. M., Bowler, B. C., Drapeau, D. T., Lubelczyk, L. C., Lyczkowski, E. 2018. Vertical Distributions of Coccolithophores, PIC, POC, Biogenic Silica, and Chlorophyll a Throughout the Global Ocean. Global Biogeochemical Cycles. 32(1), 2-17. DOI: 10.1002/2016GB005614 ( 5 citations ) 
Balch, W. M., Bowler, B. C., Lubelczyk, L. C., Stevens, M. W. 2014. Aerial extent, composition, bio-optics and biogeochemistry of a massive under-ice algal bloom in the Arctic. Deep Sea Research Part II: Topical Studies in Oceanography. 105, 42-58. doi: 10.1016/j.dsr2.2014.04.001 ( 13 citations ) 
Balch, W., Huntington, T., Aiken, G., Drapeau, D., Bowler, B., Lubelczyk, L., Butler, K. 2016. Toward a quantitative and empirical dissolved organic carbon budget for the Gulf of Maine, a semienclosed shelf sea. Global Biogeochemical Cycles. 30(2), 268-292. doi: 10.1002/2015GB005332 ( 17 citations ) 
Cao, X., Aiken, G. R., Butler, K. D., Huntington, T. G., Balch, W. M., Mao, J., Schmidt-Rohr, K. 2018. Evidence for major input of riverine organic matter into the ocean. Organic Geochemistry. 116, 62-76. doi: 10.1016/j.orggeochem.2017.11.001 ( 8 citations ) 

Behrenfeld, M. J. 2014. Climate-mediated dance of the plankton. Nature Climate Change. 4(10), 880-887. doi: 10.1038/NCLIMATE2349 ( 52 citations ) 
Behrenfeld, M. J., Boss, E. S. 2014. Resurrecting the Ecological Underpinnings of Ocean Plankton Blooms. Annual Review of Marine Science. 6(1), 167-194. doi: 10.1146/annurev-marine-052913-021325 ( 169 citations ) 
Behrenfeld, M. J., Doney, S. C., Lima, I., Boss, E. S., Siegel, D. A. 2013. Annual cycles of ecological disturbance and recovery underlying the subarctic Atlantic spring plankton bloom. Global Biogeochemical Cycles. 27(2), 526-540. doi: 10.1002/gbc.20050 ( 71 citations ) 
Behrenfeld, M. J., Hu, Y., Hostetler, C. A., Dall'Olmo, G., Rodier, S. D., Hair, J. W., Trepte, C. R. 2013. Space-based lidar measurements of global ocean carbon stocks. Geophysical Research Letters. 40(16), 4355-4360. doi: 10.1002/grl.50816 ( 59 citations ) 
Behrenfeld, M. J., O'Malley, R. T., Boss, E. S., Westberry, T. K., Graff, J. R., Halsey, K. H., Milligan, A. J., Siegel, D. A., Brown, M. B. 2015. Revaluating ocean warming impacts on global phytoplankton. Nature Climate Change. 6(3), 323-330. doi: 10.1038/NCLIMATE2838 ( 103 citations ) 
Graff, J. R., Milligan, A. J., Behrenfeld, M. J. 2012. The measurement of phytoplankton biomass using flow-cytometric sorting and elemental analysis of carbon. Limnology and Oceanography: Methods. 10(11), 910-920. doi: 10.4319/lom.2012.10.910 ( 39 citations ) 
Graff, J. R., Westberry, T. K., Milligan, A. J., Brown, M. B., Dall'Olmo, G., Dongen-Vogels, V. V., Reifel, K. M., Behrenfeld, M. J. 2015. Analytical phytoplankton carbon measurements spanning diverse ecosystems. Deep Sea Research Part I: Oceanographic Research Papers. 102, 16-25. doi: 10.1016/j.dsr.2015.04.006 ( 76 citations ) 
Jones, B. M., Halsey, K. H., Behrenfeld, M. J. 2017. Novel incubation-free approaches to determine phytoplankton net primary productivity, growth, and biomass based on flow cytometry and quantification of ATP and NAD(H). Limnology and Oceanography: Methods. 15(11), 928-938. doi: 10.1002/lom3.10213 ( 2 citations ) 
Siegel, D. A., Behrenfeld, M. J., Maritorena, S., McClain, C. R., Antoine, D., Bailey, S. W., Bontempi, P. S., Boss, E. S., Dierssen, H. M., Doney, S. C., Eplee, R. E., Evans, R. H., Feldman, G. C., Fields, E., Franz, B. A., Kuring, N. A., Mengelt, C., Nelson, N. B., Patt, F. S., Robinson, W. D., Sarmiento, J. L., Swan, C. M., Werdell, P. J., Westberry, T. K., Wilding, J. G., Yoder, J. A. 2013. Regional to global assessments of phytoplankton dynamics from the SeaWiFS mission. Remote Sensing of Environment. 135, 77-91. doi: 10.1016/j.rse.2013.03.025 ( 160 citations ) 

Asefi-Najafabady, S., Rayner, P. J., Gurney, K. R., McRobert, A., Song, Y., Coltin, K., Huang, J., Elvidge, C., Baugh, K. 2014. A multiyear, global gridded fossil fuel CO 2 emission data product: Evaluation and analysis of results. Journal of Geophysical Research: Atmospheres. 119(17), 10,213-10,231. doi: 10.1002/2013JD021296 ( 71 citations ) 
Bousserez, N., Henze, D. K., Perkins, A., Bowman, K. W., Lee, M., Liu, J., Deng, F., Jones, D. B. A. 2015. Improved analysis-error covariance matrix for high-dimensional variational inversions: application to source estimation using a 3D atmospheric transport model. Quarterly Journal of the Royal Meteorological Society. 141(690), 1906-1921. doi: 10.1002/qj.2495 ( 28 citations ) 
Brix, H., Menemenlis, D., Hill, C., Dutkiewicz, S., Jahn, O., Wang, D., Bowman, K., Zhang, H. 2015. Using Green's Functions to initialize and adjust a global, eddying ocean biogeochemistry general circulation model. Ocean Modelling. 95, 1-14. doi: 10.1016/j.ocemod.2015.07.008 ( 11 citations )   [quad chart]
Hogue, S., Marland, E., Andres, R. J., Marland, G., Woodard, D. 2016. Uncertainty in gridded CO2emissions estimates. Earth's Future. 4(5), 225-239. doi: 10.1002/2015EF000343 ( 25 citations ) 
Liu, J., Bowman, K. W., Lee, M., Henze, D. K., Bousserez, N., Brix, H., James Collatz, G., Menemenlis, D., Ott, L., Pawson, S., Jones, D., Nassar, R. 2014. Carbon monitoring system flux estimation and attribution: impact of ACOS-GOSAT XCO2 sampling on the inference of terrestrial biospheric sources and sinks. Tellus B: Chemical and Physical Meteorology. 66(1), 22486. doi: 10.3402/tellusb.v66.22486 ( 59 citations ) 

Asefi-Najafabady, S., Rayner, P. J., Gurney, K. R., McRobert, A., Song, Y., Coltin, K., Huang, J., Elvidge, C., Baugh, K. 2014. A multiyear, global gridded fossil fuel CO 2 emission data product: Evaluation and analysis of results. Journal of Geophysical Research: Atmospheres. 119(17), 10,213-10,231. doi: 10.1002/2013JD021296 ( 71 citations ) 
Bowman, K. W., Liu, J., Bloom, A. A., Parazoo, N. C., Lee, M., Jiang, Z., Menemenlis, D., Gierach, M. M., Collatz, G. J., Gurney, K. R., Wunch, D. 2017. Global and Brazilian Carbon Response to El Nino Modoki 2011-2010. Earth and Space Science. 4(10), 637-660. doi: 10.1002/2016EA000204 ( 21 citations ) 
Liu, J., Bowman, K. 2016. A method for independent validation of surface fluxes from atmospheric inversion: Application to CO 2. Geophysical Research Letters. 43(7), 3502-3508. DOI: 10.1002/2016GL067828 ( 5 citations )   [quad chart]
Liu, J., Bowman, K. W., Henze, D. K. 2015. Source-receptor relationships of column-average CO 2 and implications for the impact of observations on flux inversions. Journal of Geophysical Research: Atmospheres. 120(10), 5214-5236. doi: 10.1002/2014JD022914 ( 14 citations ) 
Liu, J., Bowman, K. W., Lee, M. 2016. Comparison between the Local Ensemble Transform Kalman Filter (LETKF) and 4D-Var in atmospheric CO2 flux inversion with the Goddard Earth Observing System-Chem model and the observation impact diagnostics from the LETKF. Journal of Geophysical Research: Atmospheres. 121(21), 13,066-13,087. DOI: 10.1002/2016JD025100 ( 6 citations ) 
Liu, J., Bowman, K. W., Schimel, D. S., Parazoo, N. C., Jiang, Z., Lee, M., Bloom, A. A., Wunch, D., Frankenberg, C., Sun, Y., O'Dell, C. W., Gurney, K. R., Menemenlis, D., Gierach, M., Crisp, D., Eldering, A. 2017. Contrasting carbon cycle responses of the tropical continents to the 2015-2016 El Nino. Science. 358(6360), eaam5690. doi: 10.1126/science.aam5690 ( 129 citations ) 
Liu, J., Bowman, K. W., Schimel, D., Parazoo, N. C., Jiang, Z., Lee, M., Bloom, A. A., Wunch, D., Frankenberg, C., Sun, Y., O'Dell, C. W., Gurney, K. R., Menemenlis, D., Gierach, M., Crisp, D., Eldering, A. 2018. Response to Comment on "Contrasting carbon cycle responses of the tropical continents to the 2015-2016 El Nino". Science. 362(6418), eaat1211. doi: 10.1126/science.aat1211 ( 1 citations ) 
Liu, J., Bowman, K., Parazoo, N. C., Bloom, A. A., Wunch, D., Jiang, Z., Gurney, K. R., Schimel, D. 2018. Detecting drought impact on terrestrial biosphere carbon fluxes over contiguous US with satellite observations. Environmental Research Letters. 13(9), 095003. doi: 10.1088/1748-9326/aad5ef ( 7 citations )   [quad chart]
Ott, L. E., Pawson, S., Collatz, G. J., Gregg, W. W., Menemenlis, D., Brix, H., Rousseaux, C. S., Bowman, K. W., Liu, J., Eldering, A., Gunson, M. R., Kawa, S. R. 2015. Assessing the magnitude of CO 2 flux uncertainty in atmospheric CO 2 records using products from NASA's Carbon Monitoring Flux Pilot Project. Journal of Geophysical Research: Atmospheres. 120(2), 734-765. doi: 10.1002/2014JD022411 ( 18 citations ) 
Schwalm, C. R., Huntzinger, D. N., Fisher, J. B., Michalak, A. M., Bowman, K., Ciais, P., Cook, R., El-Masri, B., Hayes, D., Huang, M., Ito, A., Jain, A., King, A. W., Lei, H., Liu, J., Lu, C., Mao, J., Peng, S., Poulter, B., Ricciuto, D., Schaefer, K., Shi, X., Tao, B., Tian, H., Wang, W., Wei, Y., Yang, J., Zeng, N. 2015. Toward "optimal" integration of terrestrial biosphere models. Geophysical Research Letters. 42(11), 4418-4428. doi: 10.1002/2015GL064002 ( 38 citations ) 
Worden, J. R., Turner, A. J., Bloom, A., Kulawik, S. S., Liu, J., Lee, M., Weidner, R., Bowman, K., Frankenberg, C., Parker, R., Payne, V. H. 2015. Quantifying lower tropospheric methane concentrations using GOSAT near-IR and TES thermal IR measurements. Atmospheric Measurement Techniques. 8(8), 3433-3445. doi: 10.5194/amt-8-3433-2015 ( 12 citations ) 
Zhang, X., Gurney, K. R., Rayner, P., Liu, Y., Asefi-Najafabady, S. 2014. Sensitivity of simulated CO2 concentration to regridding of global fossil fuel CO2 emissions. Geoscientific Model Development. 7(6), 2867-2874. doi: 10.5194/gmd-7-2867-2014 ( 6 citations ) 

Carroll, D., Menemenlis, D., Adkins, J. F., Bowman, K. W., Brix, H., Dutkiewicz, S., Fenty, I., Gierach, M. M., Hill, C., Jahn, O., Landschutzer, P., Lauderdale, J. M., Liu, J., Manizza, M., Naviaux, J. D., Rodenbeck, C., Schimel, D. S., Van der Stocken, T., Zhang, H. 2020. The ECCO-Darwin Data-assimilative Global Ocean Biogeochemistry Model: Estimates of Seasonal to Multi-decadal Surface Ocean pCO 2 and Air-sea CO 2 Flux. Journal of Advances in Modeling Earth Systems. DOI: 10.1029/2019MS001888  [quad chart]
Konings, A. G., Bloom, A. A., Liu, J., Parazoo, N. C., Schimel, D. S., Bowman, K. W. 2019. Global satellite-driven estimates of heterotrophic respiration. Biogeosciences. 16(11), 2269-2284. doi: 10.5194/bg-16-2269-2019 ( 5 citations ) 
Liao, E., Resplandy, L., Liu, J., Bowman, K. 2020. Amplification of the ocean carbon sink during El Ninos: role of poleward Ekman transport and influence on atmospheric CO 2. Global Biogeochemical Cycles. DOI: 10.1029/2020GB006574
Liu, J., Bowman, K., Parazoo, N. C., Bloom, A. A., Wunch, D., Jiang, Z., Gurney, K. R., Schimel, D. 2018. Detecting drought impact on terrestrial biosphere carbon fluxes over contiguous US with satellite observations. Environmental Research Letters. 13(9), 095003. doi: 10.1088/1748-9326/aad5ef ( 7 citations )   [quad chart]
Schuh, A. E., Jacobson, A. R., Basu, S., Weir, B., Baker, D., Bowman, K., Chevallier, F., Crowell, S., Davis, K. J., Deng, F., Denning, S., Feng, L., Jones, D., Liu, J., Palmer, P. I. 2019. Quantifying the Impact of Atmospheric Transport Uncertainty on CO 2 Surface Flux Estimates. Global Biogeochemical Cycles. 33(4), 484-500. DOI: 10.1029/2018GB006086 ( 12 citations ) 
Yin, Y., Bowman, K., Bloom, A. A., Worden, J. 2019. Detection of fossil fuel emission trends in the presence of natural carbon cycle variability. Environmental Research Letters. 14(8), 084050. doi: 10.1088/1748-9326/ab2dd7

Hatch, L. E., Luo, W., Pankow, J. F., Yokelson, R. J., Stockwell, C. E., Barsanti, K. C. 2015. Identification and quantification of gaseous organic compounds emitted from biomass burning using two-dimensional gas chromatography-time-of-flight mass spectrometry. Atmospheric Chemistry and Physics. 15(4), 1865-1899. doi: 10.5194/acp-15-1865-2015 ( 59 citations ) 
Jayarathne, T., Stockwell, C. E., Gilbert, A. A., Daugherty, K., Cochrane, M. A., Ryan, K. C., Putra, E. I., Saharjo, B. H., Nurhayati, A. D., Albar, I., Yokelson, R. J., Stone, E. A. 2018. Chemical characterization of fine particulate matter emitted by peat fires in Central Kalimantan, Indonesia, during the 2015 El Nino. Atmospheric Chemistry and Physics. 18(4), 2585-2600. doi: 10.5194/acp-18-2585-2018 ( 25 citations ) 
Jayarathne, T., Stockwell, C. E., Yokelson, R. J., Nakao, S., Stone, E. A. 2014. Emissions of Fine Particle Fluoride from Biomass Burning. Environmental Science & Technology. 48(21), 12636-12644. doi: 10.1021/es502933j ( 34 citations ) 
Lu, X., Zhang, X., Li, F., Cochrane, M. A. 2019. Investigating Smoke Aerosol Emission Coefficients Using MODIS Active Fire and Aerosol Products: A Case Study in the CONUS and Indonesia. Journal of Geophysical Research: Biogeosciences. 124(6), 1413-1429. doi: 10.1029/2018JG004974 ( 1 citations ) 
Putra, E. I., Cochrane, M. A., Vetrita, Y., Graham, L., Saharjo, B. H. 2018. Determining critical groundwater level to prevent degraded peatland from severe peat fire. IOP Conference Series: Earth and Environmental Science. 149, 012027. doi: 10.1088/1755-1315/149/1/012027 ( 2 citations ) 
Putra, E. I., Hafni, D. A., Harahap, A. A., Cochrane, M. A., Saharjo, B. H. 2019. Assessing rainfall pattern, groundwater level, and peat hydraulic conductivity for effective peat prevention measure. IOP Conference Series: Earth and Environmental Science. 284, 012021. doi: 10.1088/1755-1315/284/1/012021
Stockwell, C. E., Jayarathne, T., Cochrane, M. A., Ryan, K. C., Putra, E. I., Saharjo, B. H., Nurhayati, A. D., Albar, I., Blake, D. R., Simpson, I. J., Stone, E. A., Yokelson, R. J. 2016. Field measurements of trace gases and aerosols emitted by peat fires in Central Kalimantan, Indonesia, during the 2015 El Nino. Atmospheric Chemistry and Physics. 16(18), 11711-11732. doi: 10.5194/acp-16-11711-2016 ( 80 citations ) 
Stockwell, C. E., Veres, P. R., Williams, J., Yokelson, R. J. 2015. Characterization of biomass burning emissions from cooking fires, peat, crop residue, and other fuels with high-resolution proton-transfer-reaction time-of-flight mass spectrometry. Atmospheric Chemistry and Physics. 15(2), 845-865. doi: 10.5194/acp-15-845-2015 ( 132 citations ) 
Stockwell, C. E., Yokelson, R. J., Kreidenweis, S. M., Robinson, A. L., DeMott, P. J., Sullivan, R. C., Reardon, J., Ryan, K. C., Griffith, D. W. T., Stevens, L. 2014. Trace gas emissions from combustion of peat, crop residue, domestic biofuels, grasses, and other fuels: configuration and Fourier transform infrared (FTIR) component of the fourth Fire Lab at Missoula Experiment (FLAME-4). Atmospheric Chemistry and Physics. 14(18), 9727-9754. doi: 10.5194/acp-14-9727-2014 ( 102 citations ) 
Vetrita, Y., Cochrane, M. A. 2019. Fire Frequency and Related Land-Use and Land-Cover Changes in Indonesia's Peatlands. Remote Sensing. 12(1), 5. doi: 10.3390/rs12010005 ( 3 citations ) 
Wedeux, B., Dalponte, M., Schlund, M., Hagen, S., Cochrane, M., Graham, L., Usup, A., Thomas, A., Coomes, D. 2020. Dynamics of a human-modified tropical peat swamp forest revealed by repeat lidar surveys. Global Change Biology. doi: 10.1111/gcb.15108 ( 1 citations ) 

Applegate, Grahame, Laura L. B. Graham, Andri Thomas, Ahmad Yunan, Didie, Agus, Ato, Bambang H. Saharjo and Mark A. Cochrane. 2017.Fire Scene Evaluation Field Manual/ Petunjuk laPang evaluasi kejadian kebakaran Penerbit. IPB Press IPB Science Techno Park, Kota Bogor - Indonesia ISBN: 978-602-440-173-3
Goldstein, J. E., Graham, L., Ansori, S., Vetrita, Y., Thomas, A., Applegate, G., Vayda, A. P., Saharjo, B. H., Cochrane, M. A. 2020. Beyond slash-and-burn: The roles of human activities, altered hydrology and fuels in peat fires in Central Kalimantan, Indonesia. Singapore Journal of Tropical Geography. doi: 10.1111/sjtg.12319 ( 1 citations ) 
Jayarathne, T., Stockwell, C. E., Gilbert, A. A., Daugherty, K., Cochrane, M. A., Ryan, K. C., Putra, E. I., Saharjo, B. H., Nurhayati, A. D., Albar, I., Yokelson, R. J., Stone, E. A. 2018. Chemical characterization of fine particulate matter emitted by peat fires in Central Kalimantan, Indonesia, during the 2015 El Nino. Atmospheric Chemistry and Physics. 18(4), 2585-2600. doi: 10.5194/acp-18-2585-2018 ( 25 citations ) 
Kemal Putra, I., Hero Saharjo, B., Wasis, B. 2019. Institutional Challenge on Forest and Land Fire Management at the Site Level. Jurnal Ilmu Pertanian Indonesia. 24(2), 151-159. doi: 10.18343/jipi.24.2.151
Lu, X., Zhang, X., Li, F., Cochrane, M. A. 2019. Investigating Smoke Aerosol Emission Coefficients Using MODIS Active Fire and Aerosol Products: A Case Study in the CONUS and Indonesia. Journal of Geophysical Research: Biogeosciences. 124(6), 1413-1429. doi: 10.1029/2018JG004974 ( 1 citations ) 
Putra, E. I., Cochrane, M. A., Vetrita, Y., Graham, L., Saharjo, B. H. 2018. Determining critical groundwater level to prevent degraded peatland from severe peat fire. IOP Conference Series: Earth and Environmental Science. 149, 012027. doi: 10.1088/1755-1315/149/1/012027 ( 2 citations ) 
Sinclair, A. L., Graham, L. L., Putra, E. I., Saharjo, B. H., Applegate, G., Grover, S. P., Cochrane, M. A. 2020. Effects of distance from canal and degradation history on peat bulk density in a degraded tropical peatland. Science of The Total Environment. 699, 134199. doi: 10.1016/j.scitotenv.2019.134199 ( 4 citations )   [quad chart]
Vetrita, Y., Cochrane, M. A. 2019. Fire Frequency and Related Land-Use and Land-Cover Changes in Indonesia's Peatlands. Remote Sensing. 12(1), 5. doi: 10.3390/rs12010005 ( 3 citations ) 
Zarzana, K. J., Selimovic, V., Koss, A. R., Sekimoto, K., Coggon, M. M., Yuan, B., Dube, W. P., Yokelson, R. J., Warneke, C., de Gouw, J. A., Roberts, J. M., Brown, S. S. 2018. Primary emissions of glyoxal and methylglyoxal from laboratory measurements of open biomass burning. Atmospheric Chemistry and Physics Discussions. 1-35. DOI: 10.5194/acp-2018-521 ( 1 citations ) 

Cohen, W. B., Yang, Z., Healey, S. P., Kennedy, R. E., Gorelick, N. 2018. A LandTrendr multispectral ensemble for forest disturbance detection. Remote Sensing of Environment. 205, 131-140. doi: 10.1016/j.rse.2017.11.015 ( 47 citations ) 
Cohen, W., Healey, S., Yang, Z., Stehman, S., Brewer, C., Brooks, E., Gorelick, N., Huang, C., Hughes, M., Kennedy, R., Loveland, T., Moisen, G., Schroeder, T., Vogelmann, J., Woodcock, C., Yang, L., Zhu, Z. 2017. How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms? Forests. 8(4), 98. doi: 10.3390/f8040098 ( 72 citations ) 
Deo, R. K., Russell, M. B., Domke, G. M., Woodall, C. W., Falkowski, M. J., Cohen, W. B. 2016. Using Landsat Time-Series and LiDAR to Inform Aboveground Forest Biomass Baselines in Northern Minnesota, USA. Canadian Journal of Remote Sensing. 43(1), 28-47. doi: 10.1080/07038992.2017.1259556 ( 21 citations ) 
Deo, R., Russell, M., Domke, G., Andersen, H., Cohen, W., Woodall, C. 2017. Evaluating Site-Specific and Generic Spatial Models of Aboveground Forest Biomass Based on Landsat Time-Series and LiDAR Strip Samples in the Eastern USA. Remote Sensing. 9(6), 598. doi: 10.3390/rs9060598 ( 17 citations ) 
Healey, S. P., Cohen, W. B., Yang, Z., Kenneth Brewer, C., Brooks, E. B., Gorelick, N., Hernandez, A. J., Huang, C., Joseph Hughes, M., Kennedy, R. E., Loveland, T. R., Moisen, G. G., Schroeder, T. A., Stehman, S. V., Vogelmann, J. E., Woodcock, C. E., Yang, L., Zhu, Z. 2018. Mapping forest change using stacked generalization: An ensemble approach. Remote Sensing of Environment. 204, 717-728. doi: 10.1016/j.rse.2017.09.029 ( 61 citations ) 

Liu, J., Bowman, K. W., Lee, M., Henze, D. K., Bousserez, N., Brix, H., James Collatz, G., Menemenlis, D., Ott, L., Pawson, S., Jones, D., Nassar, R. 2014. Carbon monitoring system flux estimation and attribution: impact of ACOS-GOSAT XCO2 sampling on the inference of terrestrial biospheric sources and sinks. Tellus B: Chemical and Physical Meteorology. 66(1), 22486. doi: 10.3402/tellusb.v66.22486 ( 59 citations ) 
Wang, J. S., Kawa, S. R., Collatz, G. J., Sasakawa, M., Gatti, L. V., Machida, T., Liu, Y., Manyin, M. E. 2018. A global synthesis inversion analysis of recent variability in CO2 fluxes using GOSAT and in situ observations. Atmospheric Chemistry and Physics. 18(15), 11097-11124. doi: 10.5194/acp-18-11097-2018 ( 12 citations ) 

Babcock, C., Finley, A. O., Cook, B. D., Weiskittel, A., Woodall, C. W. 2016. Modeling forest biomass and growth: Coupling long-term inventory and LiDAR data. Remote Sensing of Environment. 182, 1-12. doi: 10.1016/j.rse.2016.04.014 ( 16 citations )   [quad chart]
Babcock, C., Matney, J., Finley, A. O., Weiskittel, A., Cook, B. D. 2013. Multivariate Spatial Regression Models for Predicting Individual Tree Structure Variables Using LiDAR Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6(1), 6-14. doi: 10.1109/JSTARS.2012.2215582 ( 15 citations ) 
Cook, B., Corp, L., Nelson, R., Middleton, E., Morton, D., McCorkel, J., Masek, J., Ranson, K., Ly, V., Montesano, P. 2013. NASA Goddard's LiDAR, Hyperspectral and Thermal (G-LiHT) Airborne Imager. Remote Sensing. 5(8), 4045-4066. doi: 10.3390/rs5084045 ( 161 citations ) 
Datta, A., Banerjee, S., Finley, A. O., Gelfand, A. E. 2016. Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets. Journal of the American Statistical Association. 111(514), 800-812. doi: 10.1080/01621459.2015.1044091 ( 105 citations ) 
Datta, A., Banerjee, S., Finley, A. O., Gelfand, A. E. 2016. On nearest-neighbor Gaussian process models for massive spatial data. Wiley Interdisciplinary Reviews: Computational Statistics. 8(5), 162-171. doi: 10.1002/wics.1383 ( 12 citations ) 
Duncanson, L. I., Cook, B. D., Hurtt, G. C., Dubayah, R. O. 2014. An efficient, multi-layered crown delineation algorithm for mapping individual tree structure across multiple ecosystems. Remote Sensing of Environment. 154, 378-386. doi: 10.1016/j.rse.2013.07.044 ( 89 citations ) 
Duncanson, L. I., Dubayah, R. O., Cook, B. D., Rosette, J., Parker, G. 2015. The importance of spatial detail: Assessing the utility of individual crown information and scaling approaches for lidar-based biomass density estimation. Remote Sensing of Environment. 168, 102-112. doi: 10.1016/j.rse.2015.06.021 ( 38 citations ) 
Finley, A. O., Banerjee, S., Cook, B. D. 2014. Bayesian hierarchical models for spatially misaligned data in R. Methods in Ecology and Evolution. 5(6), 514-523. doi: 10.1111/2041-210X.12189 ( 10 citations ) 
Finley, A. O., Banerjee, S., Cook, B. D., Bradford, J. B. 2013. Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets. International Journal of Applied Earth Observation and Geoinformation. 22, 147-160. doi: 10.1016/j.jag.2012.04.007 ( 16 citations ) 
Finley, A. O., Banerjee, S., Zhou, Y., Cook, B. D., Babcock, C. 2017. Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables. Remote Sensing of Environment. 190, 149-161. doi: 10.1016/j.rse.2016.12.004 ( 4 citations ) 
Goetz, S. J., Hansen, M., Houghton, R. A., Walker, W., Laporte, N., Busch, J. 2015. Measurement and monitoring needs, capabilities and potential for addressing reduced emissions from deforestation and forest degradation under REDD+. Environmental Research Letters. 10(12), 123001. doi: 10.1088/1748-9326/10/12/123001 ( 61 citations ) 
Huang, W., Sun, G., Dubayah, R., Cook, B., Montesano, P., Ni, W., Zhang, Z. 2013. Mapping biomass change after forest disturbance: Applying LiDAR footprint-derived models at key map scales. Remote Sensing of Environment. 134, 319-332. doi: 10.1016/j.rse.2013.03.017 ( 42 citations ) 
Montesano, P. M., Cook, B. D., Sun, G., Simard, M., Nelson, R. F., Ranson, K. J., Zhang, Z., Luthcke, S. 2013. Achieving accuracy requirements for forest biomass mapping: A spaceborne data fusion method for estimating forest biomass and LiDAR sampling error. Remote Sensing of Environment. 130, 153-170. doi: 10.1016/j.rse.2012.11.016 ( 39 citations ) 
Rosette, J., Cook, B., Nelson, R., Huang, C., Masek, J., Tucker, C., Sun, G., Huang, W., Montesano, P., Rubio-Gil, J., Ranson, J. 2015. Sensor Compatibility for Biomass Change Estimation Using Remote Sensing Data Sets: Part of NASA's Carbon Monitoring System Initiative. IEEE Geoscience and Remote Sensing Letters. 12(7), 1511-1515. doi: 10.1109/LGRS.2015.2411262 ( 3 citations ) 
Salazar, E., Hammerling, D., Wang, X., Sanso, B., Finley, A. O., Mearns, L. O. 2016. Observation-based blended projections from ensembles of regional climate models. Climatic Change. 138(1-2), 55-69. doi: 10.1007/s10584-016-1722-1 ( 5 citations ) 
White, J. C., Wulder, M. A., Varhola, A., Vastaranta, M., Coops, N. C., Cook, B. D., Pitt, D., Woods, M. 2013. A best practices guide for generating forest inventory attributes from airborne laser scanning data using an area-based approach. The Forestry Chronicle. 89(06), 722-723. doi: 10.5558/tfc2013-132 ( 90 citations ) 
White, J.C., M. A. Wulder, A. Varhola, M. Vastaranta, N. C. Coops, B. D. Cook, D. Pitt, and M. Woods. 2013. A best practices guide for generating forest inventory attributes from airborne laser scanning data using the area-based approach. Information Report FI-X-10. Natural Resources Canada, Canadian Forest Service, Canadian Wood Fibre Centre, Pacific Forestry Centre, Victoria, BC. 50 p. http://cfs.nrcan.gc.ca/pubwarehouse/pdfs/34887.pdf

Alonzo, M., Andersen, H., Morton, D., Cook, B. 2018. Quantifying Boreal Forest Structure and Composition Using UAV Structure from Motion. Forests. 9(3), 119. doi: 10.3390/f9030119 ( 35 citations ) 
Alonzo, M., Dial, R. J., Schulz, B. K., Andersen, H., Lewis-Clark, E., Cook, B. D., Morton, D. C. 2020. Mapping tall shrub biomass in Alaska at landscape scale using structure-from-motion photogrammetry and lidar. Remote Sensing of Environment. 245, 111841. doi: 10.1016/j.rse.2020.111841 ( 2 citations ) 
Alonzo, M., Morton, D. C., Cook, B. D., Andersen, H., Babcock, C., Pattison, R. 2017. Patterns of canopy and surface layer consumption in a boreal forest fire from repeat airborne lidar. Environmental Research Letters. 12(6), 065004. doi: 10.1088/1748-9326/aa6ade ( 18 citations ) 
Andersen, H. -E., C. Babcock, B. Cook, D. Morton, A. Finley and M. Alonzo. Using remote sensing to support forest inventory in interior Alaska – demonstration of a generalized regression estimator in a two-phase, model-assisted sampling design using two-sources of auxiliary data. Forests (submitted).
Babcock, C., Finley, A. O., Andersen, H., Pattison, R., Cook, B. D., Morton, D. C., Alonzo, M., Nelson, R., Gregoire, T., Ene, L., Gobakken, T., Naesset, E. 2018. Geostatistical estimation of forest biomass in interior Alaska combining Landsat-derived tree cover, sampled airborne lidar and field observations. Remote Sensing of Environment. 212, 212-230. doi: 10.1016/j.rse.2018.04.044 ( 6 citations ) 
Babcock, C., Finley, A. O., Cook, B. D., Weiskittel, A., Woodall, C. W. 2016. Modeling forest biomass and growth: Coupling long-term inventory and LiDAR data. Remote Sensing of Environment. 182, 1-12. doi: 10.1016/j.rse.2016.04.014 ( 16 citations ) 
Datta, A., Banerjee, S., Finley, A. O., Gelfand, A. E. 2016. On nearest-neighbor Gaussian process models for massive spatial data. Wiley Interdisciplinary Reviews: Computational Statistics. 8(5), 162-171. doi: 10.1002/wics.1383 ( 12 citations ) 
Ene, L. T., Gobakken, T., Andersen, H., Naesset, E., Cook, B. D., Morton, D. C., Babcock, C., Nelson, R. 2018. Large-area hybrid estimation of aboveground biomass in interior Alaska using airborne laser scanning data. Remote Sensing of Environment. 204, 741-755. doi: 10.1016/j.rse.2017.09.027 ( 12 citations ) 
Finley, A. O., Banerjee, S., Zhou, Y., Cook, B. D., Babcock, C. 2017. Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables. Remote Sensing of Environment. 190, 149-161. doi: 10.1016/j.rse.2016.12.004 ( 4 citations ) 
Finley, A. O., Datta, A., Cook, B. D., Morton, D. C., Andersen, H. E., Banerjee, S. 2019. Efficient Algorithms for Bayesian Nearest Neighbor Gaussian Processes. Journal of Computational and Graphical Statistics. 28(2), 401-414. doi: 10.1080/10618600.2018.1537924 ( 13 citations ) 
Finley, A. O., S. Banerjee, Y. Zhou and B. D. Cook. 2016. Process-based hierarchical models for coupling high-dimensional LiDAR and forest variables over large geographic domains. Journal of the American Statistical Association, http://arxiv.org/abs/1603.07409
Montesano, P. M., Neigh, C. S., Wagner, W., Wooten, M., Cook, B. D. 2019. Boreal canopy surfaces from spaceborne stereogrammetry. Remote Sensing of Environment. 225, 148-159. doi: 10.1016/j.rse.2019.02.012 ( 4 citations )   [quad chart]
Pattison, R., H. -E. Andersen, A. Gray, B. Schulz, R. J. Smith and S. Jovan. 2018. Forests of the Tanana Valley State Forest and Tetlin National Wildlife Refuge, Alaska: Results of the 2014 pilot inventory. Gen. Tech. Rep. PNW-GTR-967, Portland, OR. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 80 p.
Salazar, E., Hammerling, D., Wang, X., Sanso, B., Finley, A. O., Mearns, L. O. 2016. Observation-based blended projections from ensembles of regional climate models. Climatic Change. 138(1-2), 55-69. doi: 10.1007/s10584-016-1722-1 ( 5 citations ) 
Shirota, S., A. O. Finley, B. D. Cook and S. Banerjee. Conjugate nearest neighbor Gaussian process models for efficient statistical interpolation of large spatial data. IEEE Transactions on Geoscience and Remote Sensing (submitted).
Shoot, C., H. -E. Andersen, Monika Moskal, C. Babcock, B. Cook and D. Morton. Classifying Forest Type in the National Forest Inventory Context from a Fusion of Hyperspectral and Lidar Data. Remote Sensing of Environment (submitted).
Taylor-Rodriguez, D., Finley, A. O., Datta, A., Babcock, C., Andersen, H., Cook, B. D., Morton, D. C., Banerjee, S. 2019. Spatial Factor Models for High-Dimensional and Large Spatial Data: An Application in Forest Variable Mapping. Statistica Sinica. doi: 10.5705/ss.202018.0005 ( 3 citations ) 

Heaton, M. J., Datta, A., Finley, A. O., Furrer, R., Guinness, J., Guhaniyogi, R., Gerber, F., Gramacy, R. B., Hammerling, D., Katzfuss, M., Lindgren, F., Nychka, D. W., Sun, F., Zammit-Mangion, A. 2018. A Case Study Competition Among Methods for Analyzing Large Spatial Data. Journal of Agricultural, Biological and Environmental Statistics. 24(3), 398-425. doi: 10.1007/s13253-018-00348-w ( 50 citations ) 

Fer, I., Kelly, R., Moorcroft, P. R., Richardson, A. D., Cowdery, E. M., Dietze, M. C. 2018. Linking big models to big data: efficient ecosystem model calibration through Bayesian model emulation. Biogeosciences. 15(19), 5801-5830. doi: 10.5194/bg-15-5801-2018

Datta, A., Banerjee, S., Finley, A. O., Gelfand, A. E. 2016. On nearest-neighbor Gaussian process models for massive spatial data. Wiley Interdisciplinary Reviews: Computational Statistics. 8(5), 162-171. doi: 10.1002/wics.1383 ( 12 citations ) 
Finley, A. O., Banerjee, S., Zhou, Y., Cook, B. D., Babcock, C. 2017. Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables. Remote Sensing of Environment. 190, 149-161. doi: 10.1016/j.rse.2016.12.004 ( 4 citations ) 
Huang, W., Dolan, K. A., Swatantran, A., Johnson, K. D., Tang, H., ONeil-Dunne, J., Dubayah, R., Hurtt, G. 2019. High-resolution mapping of aboveground biomass for forest carbon monitoring system in the Tri-State region of Maryland, Pennsylvania and Delaware, USA. Environmental Research Letters. doi: 10.1088/1748-9326/ab2917 ( 2 citations ) 
Huang, W., Swatantran, A., Johnson, K., Duncanson, L., Tang, H., O'Neil Dunne, J., Hurtt, G., Dubayah, R. 2015. Local discrepancies in continental scale biomass maps: a case study over forested and non-forested landscapes in Maryland, USA. Carbon Balance and Management. 10(1). doi: 10.1186/s13021-015-0030-9 ( 19 citations ) 
Johnson, K. D., Birdsey, R., Cole, J., Swatantran, A., O'Neil-Dunne, J., Dubayah, R., Lister, A. 2015. Integrating LIDAR and forest inventories to fill the trees outside forests data gap. Environmental Monitoring and Assessment. 187(10). doi: 10.1007/s10661-015-4839-1 ( 9 citations ) 
Johnson, K. D., Birdsey, R., Finley, A. O., Swantaran, A., Dubayah, R., Wayson, C., Riemann, R. 2014. Integrating forest inventory and analysis data into a LIDAR-based carbon monitoring system. Carbon Balance and Management. 9(1), 3. doi: 10.1186/1750-0680-9-3 ( 19 citations ) 
O'Neil-Dunne J, MacFaden S, Royar A, Reis M., Dubayah R. and Swatantran A. (2014) An Object-Based Approach to Statewide Land Cover Mapping. Proceedings of the 2014 ASPRS Annual Conference. Louisville, KY http://www.asprs.org/a/publications/proceedings/Louisville2014/ONeilDunne.pdf
Salazar, E., Hammerling, D., Wang, X., Sanso, B., Finley, A. O., Mearns, L. O. 2016. Observation-based blended projections from ensembles of regional climate models. Climatic Change. 138(1-2), 55-69. doi: 10.1007/s10584-016-1722-1 ( 5 citations ) 
Swatantran, A., Tang, H., Barrett, T., DeCola, P., Dubayah, R. 2016. Rapid, High-Resolution Forest Structure and Terrain Mapping over Large Areas using Single Photon Lidar. Scientific Reports. 6, 28277. doi: 10.1038/srep28277 ( 52 citations ) 
Tang, H., Swatantran, A., Barrett, T., DeCola, P., Dubayah, R. 2016. Voxel-Based Spatial Filtering Method for Canopy Height Retrieval from Airborne Single-Photon Lidar. Remote Sensing. 8(9), 771. doi: 10.3390/rs8090771 ( 15 citations ) 

Babcock, C., Finley, A. O., Cook, B. D., Weiskittel, A., Woodall, C. W. 2016. Modeling forest biomass and growth: Coupling long-term inventory and LiDAR data. Remote Sensing of Environment. 182, 1-12. doi: 10.1016/j.rse.2016.04.014 ( 16 citations )   [quad chart]
Datta, A., Banerjee, S., Finley, A. O., Gelfand, A. E. 2016. Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets. Journal of the American Statistical Association. 111(514), 800-812. doi: 10.1080/01621459.2015.1044091 ( 105 citations ) 
Datta, A., Banerjee, S., Finley, A. O., Gelfand, A. E. 2016. On nearest-neighbor Gaussian process models for massive spatial data. Wiley Interdisciplinary Reviews: Computational Statistics. 8(5), 162-171. doi: 10.1002/wics.1383 ( 12 citations ) 
Duncanson, L., Rourke, O., Dubayah, R. 2015. Small Sample Sizes Yield Biased Allometric Equations in Temperate Forests. Scientific Reports. 5(1). doi: 10.1038/srep17153 ( 36 citations ) 
Finley, A. O., Banerjee, S., Zhou, Y., Cook, B. D., Babcock, C. 2017. Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables. Remote Sensing of Environment. 190, 149-161. doi: 10.1016/j.rse.2016.12.004 ( 4 citations ) 
Huang, W., Dolan, K. A., Swatantran, A., Johnson, K. D., Tang, H., ONeil-Dunne, J., Dubayah, R., Hurtt, G. 2019. High-resolution mapping of aboveground biomass for forest carbon monitoring system in the Tri-State region of Maryland, Pennsylvania and Delaware, USA. Environmental Research Letters. doi: 10.1088/1748-9326/ab2917 ( 2 citations ) 
Huang, W., Swatantran, A., Duncanson, L., Johnson, K., Watkinson, D., Dolan, K., O'Neil-Dunne, J., Hurtt, G., Dubayah, R. 2017. County-scale biomass map comparison: a case study for Sonoma, California. Carbon Management. 8(5-6), 417-434. doi: 10.1080/17583004.2017.1396840 ( 5 citations ) 
Salazar, E., Hammerling, D., Wang, X., Sanso, B., Finley, A. O., Mearns, L. O. 2016. Observation-based blended projections from ensembles of regional climate models. Climatic Change. 138(1-2), 55-69. doi: 10.1007/s10584-016-1722-1 ( 5 citations ) 
Swatantran, A., Tang, H., Barrett, T., DeCola, P., Dubayah, R. 2016. Rapid, High-Resolution Forest Structure and Terrain Mapping over Large Areas using Single Photon Lidar. Scientific Reports. 6, 28277. doi: 10.1038/srep28277 ( 52 citations ) 

Chen, J., Viatte, C., Hedelius, J. K., Jones, T., Franklin, J. E., Parker, H., Gottlieb, E. W., Wennberg, P. O., Dubey, M. K., Wofsy, S. C. 2016. Differential column measurements using compact solar-tracking spectrometers. Atmospheric Chemistry and Physics. 16(13), 8479-8498. doi: 10.5194/acp-16-8479-2016 ( 28 citations )   [quad chart]
Hedelius, J. K., Parker, H., Wunch, D., Roehl, C. M., Viatte, C., Newman, S., Toon, G. C., Podolske, J. R., Hillyard, P. W., Iraci, L. T., Dubey, M. K., Wennberg, P. O. 2017. Intercomparability of XCO2 and XCH4 from the United States TCCON sites. Atmospheric Measurement Techniques. 10(4), 1481-1493. doi: 10.5194/amt-10-1481-2017 ( 9 citations ) 
Hedelius, J. K., Viatte, C., Wunch, D., Roehl, C. M., Toon, G. C., Chen, J., Jones, T., Wofsy, S. C., Franklin, J. E., Parker, H., Dubey, M. K., Wennberg, P. O. 2016. Assessment of errors and biases in retrievals of XCO2, XCH4, XCO, and XN2O from a 0.5 cm?1 resolution solar-viewing spectrometer. Atmospheric Measurement Techniques. 9(8), 3527-3546. doi: 10.5194/amt-9-3527-2016 ( 15 citations )   [quad chart]
Viatte, C., Lauvaux, T., Hedelius, J. K., Parker, H., Chen, J., Jones, T., Franklin, J. E., Deng, A. J., Gaudet, B., Verhulst, K., Duren, R., Wunch, D., Roehl, C., Dubey, M. K., Wofsy, S., Wennberg, P. O. 2017. Methane emissions from dairies in the Los Angeles Basin. Atmospheric Chemistry and Physics. 17(12), 7509-7528. doi: 10.5194/acp-17-7509-2017 ( 20 citations )   [quad chart]

Blackman, A., Veit, P. 2018. Titled Amazon Indigenous Communities Cut Forest Carbon Emissions. Ecological Economics. 153, 56-67. doi: 10.1016/j.ecolecon.2018.06.016 ( 15 citations ) 
Cooke, R. M., Saatchi, S., Hagen, S. 2016. Global correlation and uncertainty accounting. Dependence Modeling. 4(1). doi: 10.1515/demo-2016-0009
Gurney, K. R., Liang, J., Patarasuk, R., Song, Y., Huang, J., Roest, G. 2020. The Vulcan Version 3.0 High-Resolution Fossil Fuel CO 2 Emissions for the United States. Journal of Geophysical Research: Atmospheres. 125(19). DOI: 10.1029/2020JD032974
Gurney, K. R., Patarasuk, R., Liang, J., Song, Y., O'Keeffe, D., Rao, P., Whetstone, J. R., Duren, R. M., Eldering, A., Miller, C. 2019. The Hestia fossil fuel CO2 emissions data product for the Los Angeles megacity (Hestia-LA). Earth System Science Data. 11(3), 1309-1335. doi: 10.5194/essd-11-1309-2019 ( 7 citations ) 

Carranza, V., Rafiq, T., Frausto-Vicencio, I., Hopkins, F. M., Verhulst, K. R., Rao, P., Duren, R. M., Miller, C. E. 2018. Vista-LA: Mapping methane-emitting infrastructure in the Los Angeles megacity. Earth System Science Data. 10(1), 653-676. doi: 10.5194/essd-10-653-2018 ( 5 citations ) 
Cusworth, D. H., Duren, R. M., Yadav, V., Thorpe, A. K., Verhulst, K., Sander, S., Hopkins, F., Rafiq, T., Miller, C. E. 2020. Synthesis of Methane Observations Across Scales: Strategies for Deploying a Multitiered Observing Network. Geophysical Research Letters. 47(7). doi: 10.1029/2020GL087869  [quad chart]
Cusworth, D. H., Duren, R., Thorpe, A. K., Tseng, E., Thompson, D., Guha, A., Newman, S., Foster, K., Miller, C. E. 2020. Using remote sensing to detect, validate, and quantify methane emissions from California solid waste operations. Environmental Research Letters. doi: 10.1088/1748-9326/ab7b99 ( 2 citations ) 
Duren,R.M., Thorpe A.K., Foster K.T. et al. 2019 California's methane super-emitters. Nature 575, 180-184 doi: 10.1038/s41586-019-1720-3 ( 19 citations )   [quad chart]
Thorpe, A. K., Duren, R., Conley, S., Prasad, K., Bue, B., Yadav, V., Foster, K., Rafiq, T., Hopkins, F., Smith, M., Fischer, M. L., Thompson, D., Frankenberg, C., McCubbin, I., Eastwood, M., Green, R., Miller, C. E. 2020. Methane emissions from underground gas storage in California. Environmental Research Letters. doi: 10.1088/1748-9326/ab751d ( 1 citations )   [quad chart]
Yadav, V., Duren, R., Mueller, K., Verhulst, K. R., Nehrkorn, T., Kim, J., Weiss, R. F., Keeling, R., Sander, S., Fischer, M. L., Newman, S., Falk, M., Kuwayama, T., Hopkins, F., Rafiq, T., Whetstone, J., Miller, C. 2019. Spatio-temporally Resolved Methane Fluxes From the Los Angeles Megacity. Journal of Geophysical Research: Atmospheres. 124(9), 5131-5148. doi: 10.1029/2018JD030062 ( 8 citations )   [quad chart]

Elvidge, C. D., Bazilian, M. D., Zhizhin, M., Ghosh, T., Baugh, K., Hsu, F. 2018. The potential role of natural gas flaring in meeting greenhouse gas mitigation targets. Energy Strategy Reviews. 20, 156-162. doi: 10.1016/j.esr.2017.12.012 ( 28 citations ) 
Elvidge, C., Zhizhin, M., Baugh, K., Hsu, F., Ghosh, T. 2015. Methods for Global Survey of Natural Gas Flaring from Visible Infrared Imaging Radiometer Suite Data. Energies. 9(1), 14. doi: 10.3390/en9010014 ( 124 citations ) 
Elvidge, C., Zhizhin, M., Baugh, K., Hsu, F., Ghosh, T. 2019. Extending Nighttime Combustion Source Detection Limits with Short Wavelength VIIRS Data. Remote Sensing. 11(4), 395. doi: 10.3390/rs11040395 ( 8 citations ) 

Brown, M. E., Cooper, M. W., Griffith, P. C. 2020. NASA's Carbon Monitoring System and Arctic-Boreal Vulnerability Experiment (ABoVE) social network and community of practice. Environmental Research Letters. doi: 10.1088/1748-9326/aba300  [quad chart]
Brown, M. E., Ihli, M., Hendrick, O., Delgado-Arias, S., Escobar, V. M., Griffith, P. 2016. Social network and content analysis of the North American Carbon Program as a scientific community of practice. Social Networks. 44, 226-237. doi: 10.1016/j.socnet.2015.10.002 ( 5 citations ) 
Kaushik, A., Graham, J., Dorheim, K., Kramer, R., Wang, J., Byrne, B. 2020. The Future of the Carbon Cycle in a Changing Climate. Eos. 101. doi: 10.1029/2020EO140276

Bosse, K. R., Sayers, M. J., Shuchman, R. A., Fahnenstiel, G. L., Ruberg, S. A., Fanslow, D. L., Stuart, D. G., Johengen, T. H., Burtner, A. M. 2019. Spatial-temporal variability of in situ cyanobacteria vertical structure in Western Lake Erie: Implications for remote sensing observations. Journal of Great Lakes Research. 45(3), 480-489. doi: 10.1016/j.jglr.2019.02.003 ( 9 citations ) 
Sayers, M. J., Bosse, K. R., Shuchman, R. A., Ruberg, S. A., Fahnenstiel, G. L., Leshkevich, G. A., Stuart, D. G., Johengen, T. H., Burtner, A. M., Palladino, D. 2019. Spatial and temporal variability of inherent and apparent optical properties in western Lake Erie: Implications for water quality remote sensing. Journal of Great Lakes Research. 45(3), 490-507. doi: 10.1016/j.jglr.2019.03.011 ( 4 citations ) 
Sayers, M. J., Grimm, A. G., Shuchman, R. A., Bosse, K. R., Fahnenstiel, G. L., Ruberg, S. A., Leshkevich, G. A. 2019. Satellite monitoring of harmful algal blooms in the Western Basin of Lake Erie: A 20-year time-series. Journal of Great Lakes Research. 45(3), 508-521. doi: 10.1016/j.jglr.2019.01.005 ( 8 citations ) 

Fatoyinbo, T., Feliciano, E. A., Lagomasino, D., Lee, S. K., Trettin, C. 2018. Estimating mangrove aboveground biomass from airborne LiDAR data: a case study from the Zambezi River delta. Environmental Research Letters. 13(2), 025012. doi: 10.1088/1748-9326/aa9f03 ( 19 citations ) 
Lagomasino, D., Fatoyinbo, T., Lee, S., Feliciano, E., Trettin, C., Shapiro, A., Mangora, M. M. 2019. Measuring mangrove carbon loss and gain in deltas. Environmental Research Letters. 14(2), 025002. doi: 10.1088/1748-9326/aaf0de ( 14 citations ) 
Lagomasino, D., Fatoyinbo, T., Lee, S., Feliciano, E., Trettin, C., Simard, M. 2016. A Comparison of Mangrove Canopy Height Using Multiple Independent Measurements from Land, Air, and Space. Remote Sensing. 8(4), 327. doi: 10.3390/rs8040327 ( 26 citations )   [quad chart]
Lagomasino, D., Fatoyinbo, T., Lee, S., Simard, M. 2015. High-resolution forest canopy height estimation in an African blue carbon ecosystem. Remote Sensing in Ecology and Conservation. 1(1), 51-60. doi: 10.1002/rse2.3 ( 13 citations ) 
Lee, S., Fatoyinbo, T. E. 2015. TanDEM-X Pol-InSAR Inversion for Mangrove Canopy Height Estimation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 8(7), 3608-3618. doi: 10.1109/JSTARS.2015.2431646 ( 36 citations ) 
Simard, M., Fatoyinbo, L., Smetanka, C., Rivera-Monroy, V. H., Castaneda-Moya, E., Thomas, N., Van der Stocken, T. 2018. Mangrove canopy height globally related to precipitation, temperature and cyclone frequency. Nature Geoscience. 12(1), 40-45. doi: 10.1038/s41561-018-0279-1 ( 64 citations ) 

Duncanson, L., Armston, J., Disney, M., Avitabile, V., Barbier, N., Calders, K., Carter, S., Chave, J., Herold, M., Crowther, T. W., Falkowski, M., Kellner, J. R., Labriere, N., Lucas, R., MacBean, N., McRoberts, R. E., Meyer, V., Naesset, E., Nickeson, J. E., Paul, K. I., Phillips, O. L., Rejou-Mechain, M., Roman, M., Roxburgh, S., Saatchi, S., Schepaschenko, D., Scipal, K., Siqueira, P. R., Whitehurst, A., Williams, M. 2019. The Importance of Consistent Global Forest Aboveground Biomass Product Validation. Surveys in Geophysics. doi: 10.1007/s10712-019-09538-8 ( 21 citations ) 
Duncanson, L., Neuenschwander, A., Hancock, S., Thomas, N., Fatoyinbo, T., Simard, M., Silva, C. A., Armston, J., Luthcke, S. B., Hofton, M., Kellner, J. R., Dubayah, R. 2020. Biomass estimation from simulated GEDI, ICESat-2 and NISAR across environmental gradients in Sonoma County, California. Remote Sensing of Environment. 242, 111779. doi: 10.1016/j.rse.2020.111779 ( 6 citations )   [quad chart]

Fatoyinbo, T., Feliciano, E. A., Lagomasino, D., Lee, S. K., Trettin, C. 2018. Estimating mangrove aboveground biomass from airborne LiDAR data: a case study from the Zambezi River delta. Environmental Research Letters. 13(2), 025012. doi: 10.1088/1748-9326/aa9f03 ( 19 citations ) 
Lagomasino, D., Fatoyinbo, T., Lee, S., Feliciano, E., Trettin, C., Shapiro, A., Mangora, M. M. 2019. Measuring mangrove carbon loss and gain in deltas. Environmental Research Letters. 14(2), 025002. doi: 10.1088/1748-9326/aaf0de ( 14 citations ) 
Lee, S., Fatoyinbo, T. E., Lagomasino, D., Feliciano, E., Trettin, C. 2018. Multibaseline TanDEM-X Mangrove Height Estimation: The Selection of the Vertical Wavenumber. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(10), 3434-3442. doi: 10.1109/JSTARS.2018.2835647 ( 3 citations ) 
Mondal, P., Liu, X., Fatoyinbo, T. E., Lagomasino, D. 2019. Evaluating Combinations of Sentinel-2 Data and Machine-Learning Algorithms for Mangrove Mapping in West Africa. Remote Sensing. 11(24), 2928. doi: 10.3390/rs11242928 ( 4 citations ) 
Simard, M., Fatoyinbo, L., Smetanka, C., Rivera-Monroy, V. H., Castaneda-Moya, E., Thomas, N., Van der Stocken, T. 2018. Mangrove canopy height globally related to precipitation, temperature and cyclone frequency. Nature Geoscience. 12(1), 40-45. doi: 10.1038/s41561-018-0279-1 ( 64 citations ) 
Thomas, N., Bunting, P., Lucas, R., Hardy, A., Rosenqvist, A., Fatoyinbo, T. 2018. Mapping Mangrove Extent and Change: A Globally Applicable Approach. Remote Sensing. 10(9), 1466. doi: 10.3390/rs10091466 ( 19 citations ) 

French, N. H. F., McKenzie, D., Erickson, T., Koziol, B., Billmire, M., Endsley, K. A., Yager Scheinerman, N. K., Jenkins, L., Miller, M. E., Ottmar, R., Prichard, S. 2014. Modeling Regional-Scale Wildland Fire Emissions with the Wildland Fire Emissions Information System. Earth Interactions. 18(16), 1-26. doi: 10.1175/EI-D-14-0002.1 ( 14 citations ) 
McKenzie, D., French, N. H. F., Ottmar, R. D. 2012. National database for calculating fuel available to wildfires. Eos, Transactions American Geophysical Union. 93(6), 57-58. doi: 10.1029/2012EO060002 ( 9 citations ) 
van Leeuwen, T. T., van der Werf, G. R., Hoffmann, A. A., Detmers, R. G., Rucker, G., French, N. H. F., Archibald, S., Carvalho Jr., J. A., Cook, G. D., de Groot, W. J., Hely, C., Kasischke, E. S., Kloster, S., McCarty, J. L., Pettinari, M. L., Savadogo, P., Alvarado, E. C., Boschetti, L., Manuri, S., Meyer, C. P., Siegert, F., Trollope, L. A., Trollope, W. S. W. 2014. Biomass burning fuel consumption rates: a field measurement database. Biogeosciences. 11(24), 7305-7329. doi: 10.5194/bg-11-7305-2014 ( 68 citations ) 

Benway, H. M., Alin, S. R., Boyer, E., Cai, W., Coble, P. G., Cross, J. N., Friedrichs, M. A. M., Goni, M., Griffith, P., Herrmann, M., Lohrenz, S. E., Mathis, J. T., McKinley, G. A., Najjar, R. G., Pilskaln, C. H., Siedlecki, S. A., Smith, R. A. 2016. A science plan for carbon cycle research in North American coastal waters. Report of the Coastal CARbon Synthesis (CCARS) community workshop, August 19-21, 2014 doi: 10.1575/1912/7777 ( 4 citations ) 
Chen, G., Tian, H., Zhang, C., Liu, M., Ren, W., Zhu, W., Chappelka, A. H., Prior, S. A., Lockaby, G. B. 2012. Drought in the Southern United States over the 20th century: variability and its impacts on terrestrial ecosystem productivity and carbon storage. Climatic Change. 114(2), 379-397. doi: 10.1007/s10584-012-0410-z ( 77 citations ) 
Friedman, J. R., Shadwick, E. H., Friedrichs, M. A., Najjar, R. G., De Meo, O. A., Da, F., Smith, J. L. 2020. Seasonal Variability of the CO 2 System in a Large Coastal Plain Estuary. Journal of Geophysical Research: Oceans. 125(1). DOI: 10.1029/2019JC015609 ( 3 citations ) 
Friedrichs, M. A. M., St-Laurent, P., Xiao, Y., Hofmann, E., Hyde, K., Mannino, A., Najjar, R. G., Narvaez, D. A., Signorini, S. R., Tian, H., Wilkin, J., Yao, Y., Xue, J. 2019. Ocean Circulation Causes Strong Variability in the Mid-Atlantic Bight Nitrogen Budget. Journal of Geophysical Research: Oceans. 124(1), 113-134. doi: 10.1029/2018JC014424 ( 3 citations ) 
Herrmann, M., Najjar, R. G., Da, F., Friedman, J. R., Friedrichs, M. A. M., Goldberger, S., Menendez, A., Shadwick, E. H., Stets, E. G., St-Laurent, P. 2020. Challenges in Quantifying Air-Water Carbon Dioxide Flux Using Estuarine Water Quality Data: Case Study for Chesapeake Bay. Journal of Geophysical Research: Oceans. 125(7). doi: 10.1029/2019JC015610
Hofmann, E. E., Cahill, B., Fennel, K., Friedrichs, M. A., Hyde, K., Lee, C., Mannino, A., Najjar, R. G., O'Reilly, J. E., Wilkin, J., Xue, J. 2011. Modeling the Dynamics of Continental Shelf Carbon. Annual Review of Marine Science. 3(1), 93-122. doi: 10.1146/annurev-marine-120709-142740 ( 59 citations ) 
Irby, I. D., Friedrichs, M. A. M. 2018. Evaluating Confidence in the Impact of Regulatory Nutrient Reduction on Chesapeake Bay Water Quality. Estuaries and Coasts. 42(1), 16-32. doi: 10.1007/s12237-018-0440-5 ( 7 citations ) 
Kim, G. E., St-Laurent, P., Friedrichs, M. A. M., Mannino, A. 2020. Impacts of Water Clarity Variability on Temperature and Biogeochemistry in the Chesapeake Bay. Estuaries and Coasts. doi: 10.1007/s12237-020-00760-x
Moriarty, J. M., Friedrichs, M. A. M., Harris, C. K. 2020. Seabed Resuspension in the Chesapeake Bay: Implications for Biogeochemical Cycling and Hypoxia. Estuaries and Coasts. doi: 10.1007/s12237-020-00763-8
Najjar, R. G., Herrmann, M., Alexander, R., Boyer, E. W., Burdige, D. J., Butman, D., Cai, W., Canuel, E. A., Chen, R. F., Friedrichs, M. A. M., Feagin, R. A., Griffith, P. C., Hinson, A. L., Holmquist, J. R., Hu, X., Kemp, W. M., Kroeger, K. D., Mannino, A., McCallister, S. L., McGillis, W. R., Mulholland, M. R., Pilskaln, C. H., Salisbury, J., Signorini, S. R., St-Laurent, P., Tian, H., Tzortziou, M., Vlahos, P., Wang, Z. A., Zimmerman, R. C. 2018. Carbon Budget of Tidal Wetlands, Estuaries, and Shelf Waters of Eastern North America. Global Biogeochemical Cycles. 32(3), 389-416. doi: 10.1002/2017GB005790 ( 44 citations ) 
Najjar, R. G., Herrmann, M., Cintron Del Valle, S. M., Friedman, J. R., Friedrichs, M. A., Harris, L. A., Shadwick, E. H., Stets, E. G., Woodland, R. J. 2020. Alkalinity in Tidal Tributaries of the Chesapeake Bay. Journal of Geophysical Research: Oceans. 125(1). doi: 10.1029/2019JC015597 ( 1 citations ) 
Pan, X., Mannino, A., Marshall, H. G., Filippino, K. C., Mulholland, M. R. 2011. Remote sensing of phytoplankton community composition along the northeast coast of the United States. Remote Sensing of Environment. 115(12), 3731-3747. doi: 10.1016/j.rse.2011.09.011 ( 21 citations ) 
Saba, V. S., Friedrichs, M. A. M., Antoine, D., Armstrong, R. A., Asanuma, I., Behrenfeld, M. J., Ciotti, A. M., Dowell, M., Hoepffner, N., Hyde, K. J. W., Ishizaka, J., Kameda, T., Marra, J., Melin, F., Morel, A., O'Reilly, J., Scardi, M., Smith, W. O., Smyth, T. J., Tang, S., Uitz, J., Waters, K., Westberry, T. K. 2011. An evaluation of ocean color model estimates of marine primary productivity in coastal and pelagic regions across the globe. Biogeosciences. 8(2), 489-503. doi: 10.5194/bg-8-489-2011 ( 110 citations ) 
Shadwick, E. H., Friedrichs, M. A. M., Najjar, R. G., De Meo, O. A., Friedman, J. R., Da, F., Reay, W. G. 2019. High-Frequency CO 2 System Variability Over the Winter-to-Spring Transition in a Coastal Plain Estuary. Journal of Geophysical Research: Oceans. 124(11), 7626-7642. DOI: 10.1029/2019JC015246 ( 5 citations ) 
Signorini, S. R., Mannino, A., Friedrichs, M. A. M., St-Laurent, P., Wilkin, J., Tabatabai, A., Najjar, R. G., Hofmann, E. E., Da, F., Tian, H., Yao, Y. 2019. Estuarine Dissolved Organic Carbon Flux From Space: With Application to Chesapeake and Delaware Bays. Journal of Geophysical Research: Oceans. doi: 10.1029/2018JC014646
Signorini, S. R., Mannino, A., Najjar, R. G., Friedrichs, M. A. M., Cai, W., Salisbury, J., Wang, Z. A., Thomas, H., Shadwick, E. 2013. Surface ocean p CO 2 seasonality and sea-air CO 2 flux estimates for the North American east coast. Journal of Geophysical Research: Oceans. 118(10), 5439-5460. doi: 10.1002/jgrc.20369 ( 52 citations ) 
St-Laurent, P., Friedrichs, M. A. M., Najjar, R. G., Shadwick, E. H., Tian, H., Yao, Y. 2020. Relative impacts of global changes and regional watershed changes on the inorganic carbon balance of the Chesapeake Bay. Biogeosciences. 17(14), 3779-3796. doi: 10.5194/bg-17-3779-2020 ( 1 citations ) 
Tian, H., Chen, G., Zhang, C., Liu, M., Sun, G., Chappelka, A., Ren, W., Xu, X., Lu, C., Pan, S., Chen, H., Hui, D., McNulty, S., Lockaby, G., Vance, E. 2012. Century-Scale Responses of Ecosystem Carbon Storage and Flux to Multiple Environmental Changes in the Southern United States. Ecosystems. 15(4), 674-694. doi: 10.1007/s10021-012-9539-x ( 91 citations ) 
Tian, H., Lu, C., Chen, G., Tao, B., Pan, S., Grosso, S. J. D., Xu, X., Bruhwiler, L., Wofsy, S. C., Kort, E. A., Prior, S. A. 2012. Contemporary and projected biogenic fluxes of methane and nitrous oxide in North American terrestrial ecosystems. Frontiers in Ecology and the Environment. 10(10), 528-536. doi: 10.1890/120057 ( 37 citations ) 
Tian, H., Lu, C., Ciais, P., Michalak, A. M., Canadell, J. G., Saikawa, E., Huntzinger, D. N., Gurney, K. R., Sitch, S., Zhang, B., Yang, J., Bousquet, P., Bruhwiler, L., Chen, G., Dlugokencky, E., Friedlingstein, P., Melillo, J., Pan, S., Poulter, B., Prinn, R., Saunois, M., Schwalm, C. R., Wofsy, S. C. 2016. The terrestrial biosphere as a net source of greenhouse gases to the atmosphere. Nature. 531(7593), 225-228. doi: 10.1038/nature16946 ( 189 citations )   [quad chart]
Xu, X. F., Tian, H. Q., Chen, G. S., Liu, M. L., Ren, W., Lu, C. Q., Zhang, C. 2012. Multifactor controls on terrestrial N2O flux over North America from 1979 through 2010. Biogeosciences. 9(4), 1351-1366. doi: 10.5194/bg-9-1351-2012 ( 22 citations ) 
Yang, Q., Tian, H., Friedrichs, M. A. M., Hopkinson, C. S., Lu, C., Najjar, R. G. 2015. Increased nitrogen export from eastern North America to the Atlantic Ocean due to climatic and anthropogenic changes during 1901-2008. Journal of Geophysical Research: Biogeosciences. 120(6), 1046-1068. doi: 10.1002/2014JG002763 ( 27 citations ) 
Yang, Q., Tian, H., Li, X., Ren, W., Zhang, B., Zhang, X., Wolf, J. 2016. Spatiotemporal patterns of livestock manure nutrient production in the conterminous United States from 1930 to 2012. Science of The Total Environment. 541, 1592-1602. doi: 10.1016/j.scitotenv.2015.10.044 ( 30 citations ) 
Zhang, C., Tian, H., Chen, G., Chappelka, A., Xu, X., Ren, W., Hui, D., Liu, M., Lu, C., Pan, S., Lockaby, G. 2012. Impacts of urbanization on carbon balance in terrestrial ecosystems of the Southern United States. Environmental Pollution. 164, 89-101. doi: 10.1016/j.envpol.2012.01.020 ( 83 citations ) 

Basu, S., Ganguly, S., Mukhopadhyay, S., DiBiano, R., Karki, M., Nemani, R. 2015. DeepSat. Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems - GIS '15. doi: 10.1145/2820783.2820816 ( 58 citations ) 
Basu, S., Ganguly, S., Nemani, R. R., Mukhopadhyay, S., Zhang, G., Milesi, C., Michaelis, A., Votava, P., Dubayah, R., Duncanson, L., Cook, B., Yu, Y., Saatchi, S., DiBiano, R., Karki, M., Boyda, E., Kumar, U., Li, S. 2015. A Semiautomated Probabilistic Framework for Tree-Cover Delineation From 1-m NAIP Imagery Using a High-Performance Computing Architecture. IEEE Transactions on Geoscience and Remote Sensing. 53(10), 5690-5708. doi: 10.1109/TGRS.2015.2428197 ( 18 citations ) 
Basu, S., Karki, M., Ganguly, S., DiBiano, R., Mukhopadhyay, S., Gayaka, S., Kannan, R., Nemani, R. 2016. Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets. Neural Processing Letters. 45(3), 855-867. doi: 10.1007/s11063-016-9556-4 ( 16 citations ) 
Basu, s., M. Karki, S. Ganguly, R. DiBiano, S. Mukhopadhyay, R. Nemani.2015. Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets, European Symposium on Artificial Neural Networks, ESANN 2015 https://www.elen.ucl.ac.be/esann/proceedings/papers.php?ann=2015
Boyda, E., Basu, S., Ganguly, S., Michaelis, A., Mukhopadhyay, S., Nemani, R. R. 2017. Deploying a quantum annealing processor to detect tree cover in aerial imagery of California. PLOS ONE. 12(2), e0172505. doi: 10.1371/journal.pone.0172505 ( 20 citations ) 
Choi, S., Kempes, C. P., Park, T., Ganguly, S., Wang, W., Xu, L., Basu, S., Dungan, J. L., Simard, M., Saatchi, S. S., Piao, S., Ni, X., Shi, Y., Cao, C., Nemani, R. R., Knyazikhin, Y., Myneni, R. B. 2016. Application of the metabolic scaling theory and water-energy balance equation to model large-scale patterns of maximum forest canopy height. Global Ecology and Biogeography. 25(12), 1428-1442. doi: 10.1111/geb.12503 ( 5 citations ) 
Zhang, G., Ganguly, S., Nemani, R. R., White, M. A., Milesi, C., Hashimoto, H., Wang, W., Saatchi, S., Yu, Y., Myneni, R. B. 2014. Estimation of forest aboveground biomass in California using canopy height and leaf area index estimated from satellite data. Remote Sensing of Environment. 151, 44-56. doi: 10.1016/j.rse.2014.01.025 ( 65 citations ) 

Brophy, K., Graven, H., Manning, A. J., White, E., Arnold, T., Fischer, M. L., Jeong, S., Cui, X., Rigby, M. 2019. Characterizing uncertainties in atmospheric inversions of fossil fuel CO2 emissions in California. Atmospheric Chemistry and Physics. 19(5), 2991-3006. doi: 10.5194/acp-19-2991-2019 ( 2 citations ) 
Fischer, M. L., Parazoo, N., Brophy, K., Cui, X., Jeong, S., Liu, J., Keeling, R., Taylor, T. E., Gurney, K., Oda, T., Graven, H. 2017. Simulating estimation of California fossil fuel and biosphere carbon dioxide exchanges combining in situ tower and satellite column observations. Journal of Geophysical Research: Atmospheres. 122(6), 3653-3671. doi: 10.1002/2016JD025617 ( 14 citations ) 
Graven, H., Fischer, M. L., Lueker, T., Jeong, S., Guilderson, T. P., Keeling, R. F., Bambha, R., Brophy, K., Callahan, W., Cui, X., Frankenberg, C., Gurney, K. R., LaFranchi, B. W., Lehman, S. J., Michelsen, H., Miller, J. B., Newman, S., Paplawsky, W., Parazoo, N. C., Sloop, C., Walker, S. J. 2018. Assessing fossil fuel CO2 emissions in California using atmospheric observations and models. Environmental Research Letters. 13(6), 065007. doi: 10.1088/1748-9326/aabd43 ( 13 citations )   [quad chart]

Xu, Q., Man, A., Fredrickson, M., Hou, Z., Pitkanen, J., Wing, B., Ramirez, C., Li, B., Greenberg, J. A. 2018. Quantification of uncertainty in aboveground biomass estimates derived from small-footprint airborne LiDAR. Remote Sensing of Environment. 216, 514-528. doi: 10.1016/j.rse.2018.07.022 ( 10 citations )   [quad chart]

Gregg, W. W., Casey, N. W., Rousseaux, C. S. 2014. Sensitivity of simulated global ocean carbon flux estimates to forcing by reanalysis products. Ocean Modelling. 80, 24-35. doi: 10.1016/j.ocemod.2014.05.002 ( 2 citations ) 
Gregg, W. W., Rousseaux, C. S. 2014. Decadal trends in global pelagic ocean chlorophyll: A new assessment integrating multiple satellites, in situ data, and models. Journal of Geophysical Research: Oceans. 119(9), 5921-5933. doi: 10.1002/2014JC010158 ( 73 citations ) 
Rousseaux, C., Gregg, W. 2013. Interannual Variation in Phytoplankton Primary Production at A Global Scale. Remote Sensing. 6(1), 1-19. doi: 10.3390/rs6010001 ( 59 citations ) 

Cai, Y., Guan, K., Peng, J., Wang, S., Seifert, C., Wardlow, B., Li, Z. 2018. A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach. Remote Sensing of Environment. 210, 35-47. doi: 10.1016/j.rse.2018.02.045 ( 70 citations )   [quad chart]
DeLucia, E. H., Chen, S., Guan, K., Peng, B., Li, Y., Gomez-Casanovas, N., Kantola, I. B., Bernacchi, C. J., Huang, Y., Long, S. P., Ort, D. R. 2019. Are we approaching a water ceiling to maize yields in the United States? Ecosphere. 10(6). doi: 10.1002/ecs2.2773 ( 5 citations ) 
Jiang, C., Guan, K., Pan, M., Ryu, Y., Peng, B., Wang, S. 2020. BESS-STAIR: a framework to estimate daily, 30 m, and all-weather crop evapotranspiration using multi-source satellite data for the US Corn Belt. Hydrology and Earth System Sciences. 24(3), 1251-1273. doi: 10.5194/hess-24-1251-2020 ( 3 citations ) 
Kimm, H., Guan, K., Gentine, P., Wu, J., Bernacchi, C. J., Sulman, B. N., Griffis, T. J., Lin, C. 2020. Redefining droughts for the U.S. Corn Belt: The dominant role of atmospheric vapor pressure deficit over soil moisture in regulating stomatal behavior of Maize and Soybean. Agricultural and Forest Meteorology. 287, 107930. doi: 10.1016/j.agrformet.2020.107930 ( 2 citations ) 
Kimm, H., Guan, K., Jiang, C., Peng, B., Gentry, L. F., Wilkin, S. C., Wang, S., Cai, Y., Bernacchi, C. J., Peng, J., Luo, Y. 2020. Deriving high-spatiotemporal-resolution leaf area index for agroecosystems in the U.S. Corn Belt using Planet Labs CubeSat and STAIR fusion data. Remote Sensing of Environment. 239, 111615. doi: 10.1016/j.rse.2019.111615 ( 3 citations )   [quad chart]
Peng, B., Guan, K., Pan, M., Li, Y. 2018. Benefits of Seasonal Climate Prediction and Satellite Data for Forecasting U.S. Maize Yield. Geophysical Research Letters. 45(18), 9662-9671. doi: 10.1029/2018GL079291 ( 16 citations )   [quad chart]
Urban, D., Guan, K., Jain, M. 2018. Estimating sowing dates from satellite data over the U.S. Midwest: A comparison of multiple sensors and metrics. Remote Sensing of Environment. 211, 400-412. doi: 10.1016/j.rse.2018.03.039 ( 10 citations ) 

Potter, C., Klooster, S., Genovese, V., Hiatt, C., Boriah, S., Kumar, V., Mithal, V., Garg, A. 2012. Terrestrial Ecosystem Carbon Fluxes Predicted from MODIS Satellite Data and Large-Scale Disturbance Modeling. International Journal of Geosciences. 03(03), 469-479. doi: 10.4236/ijg.2012.33050 ( 12 citations ) 

Ferraz, A., Saatchi, S., Xu, L., Hagen, S., Chave, J., Yu, Y., Meyer, V., Garcia, M., Silva, C., Roswintiart, O., Samboko, A., Sist, P., Walker, S., Pearson, T. R. H., Wijaya, A., Sullivan, F. B., Rutishauser, E., Hoekman, D., Ganguly, S. 2018. Carbon storage potential in degraded forests of Kalimantan, Indonesia. Environmental Research Letters. 13(9), 095001. doi: 10.1088/1748-9326/aad782 ( 7 citations ) 
Melendy, L., Hagen, S. C., Sullivan, F. B., Pearson, T. R. H., Walker, S. M., Ellis, P., Kustiyo, K., Sambodo, A. K., Roswintiarti, O., Hanson, M. A., Klassen, A. W., Palace, M. W., Braswell, B. H., Delgado, G. M. 2018. Automated method for measuring the extent of selective logging damage with airborne LiDAR data. ISPRS Journal of Photogrammetry and Remote Sensing. 139, 228-240. doi: 10.1016/j.isprsjprs.2018.02.022 ( 7 citations ) 
Pearson, T. R. H., Bernal, B., Hagen, S. C., Walker, S. M., Melendy, L. K., Delgado, G. 2018. Remote assessment of extracted volumes and greenhouse gases from tropical timber harvest. Environmental Research Letters. 13(6), 065010. doi: 10.1088/1748-9326/aac1fa ( 3 citations ) 

Birdsey, Richard A.; Dugan, Alexa J.; Healey, Sean P.; Dante-Wood, Karen; Zhang, Fangmin; Mo, Gang; Chen, Jing M.; Hernandez, Alexander J.; Raymond, Crystal L.; McCarter, James. 2019. Assessment of the influence of disturbance, management activities, and environmental factors on carbon stocks of U.S. national forests. Gen. Tech. Rep. RMRS-GTR-402. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 116 pages plus appendices.  [quad chart]
Healey, S. P., Patterson, P. L., Saatchi, S., Lefsky, M. A., Lister, A. J., Freeman, E. A. 2012. A sample design for globally consistent biomass estimation using lidar data from the Geoscience Laser Altimeter System (GLAS). Carbon Balance and Management. 7(1), 10. doi: 10.1186/1750-0680-7-10 ( 15 citations ) 

Healey, S. P., Yang, Z., Gorelick, N., Ilyushchenko, S. 2020. Highly Local Model Calibration with a New GEDI LiDAR Asset on Google Earth Engine Reduces Landsat Forest Height Signal Saturation. Remote Sensing. 12(17), 2840. doi: 10.3390/rs12172840  [quad chart]
Healey, S., Menlove, J. 2019. The Stability of Mean Wood Specific Gravity across Stand Age in US Forests Despite Species Turnover. Forests. 10(2), 114. doi: 10.3390/f10020114  [quad chart]
Patterson, P. L., Healey, S. P., Stahl, G., Saarela, S., Holm, S., Andersen, H., Dubayah, R. O., Duncanson, L., Hancock, S., Armston, J., Kellner, J. R., Cohen, W. B., Yang, Z. 2019. Statistical properties of hybrid estimators proposed for GEDI--NASA's global ecosystem dynamics investigation. Environmental Research Letters. 14(6), 065007. doi: 10.1088/1748-9326/ab18df ( 12 citations )   [quad chart]
Saarela, S., Holm, S., Healey, S., Andersen, H., Petersson, H., Prentius, W., Patterson, P., Naesset, E., Gregoire, T., Stahl, G. 2018. Generalized Hierarchical Model-Based Estimation for Aboveground Biomass Assessment Using GEDI and Landsat Data. Remote Sensing. 10(11), 1832. doi: 10.3390/rs10111832 ( 13 citations ) 

Healey SP, Patterson PL, Saatchi S, Lefsky MA, Lister AJ, Freeman EA, Moisen GG. (2012). Applying inventory methods to estimate aboveground biomass from satellite light detection and ranging (LiDAR) forest height data. In: RS Morin (ED) Moving from status to trends: Forest Inventory and Analysis (FIA) symposium 2012; Gen. Tech. Rep. NRS-P-105. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. pp. 404-409. (http://www.nrs.fs.fed.us/pubs/gtr/gtr-nrs-p-105papers/67healey-p-105.pdf)
Healey, S. P., Patterson, P. L., Saatchi, S., Lefsky, M. A., Lister, A. J., Freeman, E. A. 2012. A sample design for globally consistent biomass estimation using lidar data from the Geoscience Laser Altimeter System (GLAS). Carbon Balance and Management. 7(1), 10. doi: 10.1186/1750-0680-7-10 ( 15 citations ) 

Anderegg, W. R. L., Ballantyne, A. P., Smith, W. K., Majkut, J., Rabin, S., Beaulieu, C., Birdsey, R., Dunne, J. P., Houghton, R. A., Myneni, R. B., Pan, Y., Sarmiento, J. L., Serota, N., Shevliakova, E., Tans, P., Pacala, S. W. 2015. Tropical nighttime warming as a dominant driver of variability in the terrestrial carbon sink. Proceedings of the National Academy of Sciences. 201521479. doi: 10.1073/pnas.1521479112 ( 39 citations ) 
Baccini, A., Goetz, S. J., Walker, W. S., Laporte, N. T., Sun, M., Sulla-Menashe, D., Hackler, J., Beck, P. S. A., Dubayah, R., Friedl, M. A., Samanta, S., Houghton, R. A. 2012. Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps. Nature Climate Change. 2(3), 182-185. doi: 10.1038/nclimate1354 ( 849 citations ) 
Ballantyne, A. P., Andres, R., Houghton, R., Stocker, B. D., Wanninkhof, R., Anderegg, W., Cooper, L. A., DeGrandpre, M., Tans, P. P., Miller, J. B., Alden, C., White, J. W. C. 2015. Audit of the global carbon budget: estimate errors and their impact on uptake uncertainty. Biogeosciences. 12(8), 2565-2584. doi: 10.5194/bg-12-2565-2015 ( 61 citations ) 
Erb, K., Kastner, T., Luyssaert, S., Houghton, R. A., Kuemmerle, T., Olofsson, P., Haberl, H. 2013. Bias in the attribution of forest carbon sinks. Nature Climate Change. 3(10), 854-856. doi: 10.1038/nclimate2004 ( 81 citations ) 
Gloor, M., Gatti, L., Brienen, R., Feldpausch, T. R., Phillips, O. L., Miller, J., Ometto, J. P., Rocha, H., Baker, T., de Jong, B., Houghton, R. A., Malhi, Y., Aragao, L. E. O. C., Guyot, J., Zhao, K., Jackson, R., Peylin, P., Sitch, S., Poulter, B., Lomas, M., Zaehle, S., Huntingford, C., Levy, P., Lloyd, J. 2012. The carbon balance of South America: a review of the status, decadal trends and main determinants. Biogeosciences. 9(12), 5407-5430. doi: 10.5194/bg-9-5407-2012 ( 58 citations ) 
Goetz, S. J., Bond-Lamberty, B., Law, B. E., Hicke, J. A., Huang, C., Houghton, R. A., McNulty, S., O'Halloran, T., Harmon, M., Meddens, A. J. H., Pfeifer, E. M., Mildrexler, D., Kasischke, E. S. 2012. Observations and assessment of forest carbon dynamics following disturbance in North America. Journal of Geophysical Research: Biogeosciences. 117(G2). doi: 10.1029/2011JG001733 ( 77 citations ) 
Goetz, S. J., Hansen, M., Houghton, R. A., Walker, W., Laporte, N., Busch, J. 2015. Measurement and monitoring needs, capabilities and potential for addressing reduced emissions from deforestation and forest degradation under REDD+. Environmental Research Letters. 10(12), 123001. doi: 10.1088/1748-9326/10/12/123001 ( 61 citations ) 
Houghton, R. A. 2012. Carbon emissions and the drivers of deforestation and forest degradation in the tropics. Current Opinion in Environmental Sustainability. 4(6), 597-603. doi: 10.1016/j.cosust.2012.06.006 ( 131 citations ) 
Houghton, R. A. 2012. Historic Changes in Terrestrial Carbon Storage in: Recarbonization of the Biosphere. Springer Nature, 59-82. doi: 10.1007/978-94-007-4159-1_4 ( 13 citations ) 
Houghton, R. A. 2013. The emissions of carbon from deforestation and degradation in the tropics: past trends and future potential. Carbon Management. 4(5), 539-546. doi: 10.4155/cmt.13.41 ( 34 citations ) 
Houghton, R. A., House, J. I., Pongratz, J., van der Werf, G. R., DeFries, R. S., Hansen, M. C., Le Quere, C., Ramankutty, N. 2012. Carbon emissions from land use and land-cover change. Biogeosciences. 9(12), 5125-5142. doi: 10.5194/bg-9-5125-2012 ( 493 citations ) 
Houghton, R.A. 2013. Role of forests and impact of deforestation in the global carbon cycle. Pages 15-38 in: F. Achard & M.C. Hansen (editors). Global Forest Monitoring from Earth Observation. CRC Press, Boca Raton. ISBN 9781466552012 - CAT# K15197
Olofsson, P., Kuemmerle, T., Griffiths, P., Knorn, J., Baccini, A., Gancz, V., Blujdea, V., Houghton, R. A., Abrudan, I. V., Woodcock, C. E. 2011. Carbon implications of forest restitution in post-socialist Romania. Environmental Research Letters. 6(4), 045202. doi: 10.1088/1748-9326/6/4/045202 ( 27 citations ) 
Pan, Y., Birdsey, R. A., Fang, J., Houghton, R., Kauppi, P. E., Kurz, W. A., Phillips, O. L., Shvidenko, A., Lewis, S. L., Canadell, J. G., Ciais, P., Jackson, R. B., Pacala, S. W., McGuire, A. D., Piao, S., Rautiainen, A., Sitch, S., Hayes, D. 2011. A Large and Persistent Carbon Sink in the World's Forests. Science. 333(6045), 988-993. doi: 10.1126/science.1201609 ( 2948 citations ) 
Patra, P. K., Canadell, J. G., Houghton, R. A., Piao, S. L., Oh, N., Ciais, P., Manjunath, K. R., Chhabra, A., Wang, T., Bhattacharya, T., Bousquet, P., Hartman, J., Ito, A., Mayorga, E., Niwa, Y., Raymond, P. A., Sarma, V. V. S. S., Lasco, R. 2013. The carbon budget of South Asia. Biogeosciences. 10(1), 513-527. doi: 10.5194/bg-10-513-2013 ( 57 citations ) 
Tyukavina, A., Stehman, S. V., Potapov, P. V., Turubanova, S. A., Baccini, A., Goetz, S. J., Laporte, N. T., Houghton, R. A., Hansen, M. C. 2013. National-scale estimation of gross forest aboveground carbon loss: a case study of the Democratic Republic of the Congo. Environmental Research Letters. 8(4), 044039. doi: 10.1088/1748-9326/8/4/044039 ( 36 citations ) 
Valentini, R., Arneth, A., Bombelli, A., Castaldi, S., Cazzolla Gatti, R., Chevallier, F., Ciais, P., Grieco, E., Hartmann, J., Henry, M., Houghton, R. A., Jung, M., Kutsch, W. L., Malhi, Y., Mayorga, E., Merbold, L., Murray-Tortarolo, G., Papale, D., Peylin, P., Poulter, B., Raymond, P. A., Santini, M., Sitch, S., Vaglio Laurin, G., van der Werf, G. R., Williams, C. A., Scholes, R. J. 2014. A full greenhouse gases budget of Africa: synthesis, uncertainties, and vulnerabilities. Biogeosciences. 11(2), 381-407. doi: 10.5194/bg-11-381-2014 ( 105 citations ) 

Deo, R. K., Froese, R. E., Falkowski, M. J., Hudak, A. T. 2016. Optimizing Variable Radius Plot Size and LiDAR Resolution to Model Standing Volume in Conifer Forests. Canadian Journal of Remote Sensing. 42(5), 428-442. doi: 10.1080/07038992.2016.1220826 ( 13 citations ) 
Fekety, P. A., Crookston, N. L., Hudak, A. T., Filippelli, S. K., Vogeler, J. C., Falkowski, M. J. 2020. Hundred year projected carbon loads and species compositions for four National Forests in the northwestern USA. Carbon Balance and Management. 15(1). doi: 10.1186/s13021-020-00140-9  [quad chart]
Fekety, P. A., Falkowski, M. J., Hudak, A. T. 2015. Temporal transferability of LiDAR-based imputation of forest inventory attributes. Canadian Journal of Forest Research. 45(4), 422-435. doi: 10.1139/cjfr-2014-0405 ( 26 citations )   [quad chart]
Fekety, P. A., Falkowski, M. J., Hudak, A. T., Jain, T. B., Evans, J. S. 2018. Transferability of Lidar-derived Basal Area and Stem Density Models within a Northern Idaho Ecoregion. Canadian Journal of Remote Sensing. 44(2), 131-143. doi: 10.1080/07038992.2018.1461557 ( 15 citations )   [quad chart]
Fekety, P.A., R.B. Sadak, J.D. Sauder, A.T. Hudak, M.J. Falkowski. 2019. Predicting forest understory habitat for Canada Lynx using lidar data. Wildlife Society Bulletin. doi: 10.1002/wsb.1018  [quad chart]
Filippelli, S. K., Falkowski, M. J., Hudak, A. T., Fekety, P., Vogeler, J. C., Khalyani, A. H., Rau, B. M., Strand, E. K. 2020. Monitoring pinyon-juniper cover and aboveground biomass across the Great Basin. Environmental Research Letters. doi: 10.1088/1748-9326/ab6785 ( 2 citations )   [quad chart]
Fusco, E. J., Rau, B. M., Falkowski, M., Filippelli, S., Bradley, B. A. 2019. Accounting for aboveground carbon storage in shrubland and woodland ecosystems in the Great Basin. Ecosphere. 10(8). doi: 10.1002/ecs2.2821 ( 1 citations )   [quad chart]
Hudak, A. T., Fekety, P. A., Kane, V. R., Kennedy, R. E., Filippelli, S. K., Falkowski, M. J., Tinkham, W. T., Smith, A. M. S., Crookston, N. L., Domke, G. M., Corrao, M. V., Bright, B. C., Churchill, D. J., Gould, P. J., McGaughey, R. J., Kane, J. T., Dong, J. 2020. A carbon monitoring system for mapping regional, annual aboveground biomass across the northwestern USA. Environmental Research Letters. 15(9), 095003. doi: 10.1088/1748-9326/ab93f9  [quad chart]
Sanchez-Lopez, N., Boschetti, L., Hudak, A. 2018. Semi-Automated Delineation of Stands in an Even-Age Dominated Forest: A LiDAR-GEOBIA Two-Stage Evaluation Strategy. Remote Sensing. 10(10), 1622. doi: 10.3390/rs10101622 ( 3 citations )   [quad chart]
Sanchez-Lopez, N.S., L. Boschetti, A.T. Hudak. 2019. Reconstruction of the disturbance history of a temperate coniferous forest through stand-level analysis of airborne LiDAR data. Forestry: An International Journal of Forest Research 00: 1-18. doi: 10.1093/forestry/cpz048  [quad chart]
Tinkham, W. T., Mahoney, P. R., Hudak, A. T., Domke, G. M., Falkowski, M. J., Woodall, C. W., Smith, A. M. 2018. Applications of the United States Forest Inventory and Analysis dataset: a review and future directions. Canadian Journal of Forest Research. 48(11), 1251-1268. doi: 10.1139/cjfr-2018-0196 ( 12 citations )   [quad chart]

Jung, M., Reichstein, M., Schwalm, C. R., Huntingford, C., Sitch, S., Ahlstrom, A., Arneth, A., Camps-Valls, G., Ciais, P., Friedlingstein, P., Gans, F., Ichii, K., Jain, A. K., Kato, E., Papale, D., Poulter, B., Raduly, B., Rodenbeck, C., Tramontana, G., Viovy, N., Wang, Y., Weber, U., Zaehle, S., Zeng, N. 2017. Compensatory water effects link yearly global land CO2 sink changes to temperature. Nature. 541(7638), 516-520. doi: 10.1038/nature20780 ( 218 citations ) 
Schwalm, C. R., Huntzinger, D. N., Fisher, J. B., Michalak, A. M., Bowman, K., Ciais, P., Cook, R., El-Masri, B., Hayes, D., Huang, M., Ito, A., Jain, A., King, A. W., Lei, H., Liu, J., Lu, C., Mao, J., Peng, S., Poulter, B., Ricciuto, D., Schaefer, K., Shi, X., Tao, B., Tian, H., Wang, W., Wei, Y., Yang, J., Zeng, N. 2015. Toward "optimal" integration of terrestrial biosphere models. Geophysical Research Letters. 42(11), 4418-4428. doi: 10.1002/2015GL064002 ( 38 citations ) 

Babcock, C., Finley, A. O., Bradford, J. B., Kolka, R., Birdsey, R., Ryan, M. G. 2015. LiDAR based prediction of forest biomass using hierarchical models with spatially varying coefficients. Remote Sensing of Environment. 169, 113-127. doi: 10.1016/j.rse.2015.07.028 ( 22 citations ) 
Babcock, C., Finley, A. O., Cook, B. D., Weiskittel, A., Woodall, C. W. 2016. Modeling forest biomass and growth: Coupling long-term inventory and LiDAR data. Remote Sensing of Environment. 182, 1-12. doi: 10.1016/j.rse.2016.04.014 ( 16 citations )   [quad chart]
Datta, A., Banerjee, S., Finley, A. O., Gelfand, A. E. 2016. Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets. Journal of the American Statistical Association. 111(514), 800-812. doi: 10.1080/01621459.2015.1044091 ( 105 citations ) 
Datta, A., Banerjee, S., Finley, A. O., Gelfand, A. E. 2016. On nearest-neighbor Gaussian process models for massive spatial data. Wiley Interdisciplinary Reviews: Computational Statistics. 8(5), 162-171. doi: 10.1002/wics.1383 ( 12 citations ) 
Datta, A., Banerjee, S., Finley, A. O., Hamm, N. A. S., Schaap, M. 2016. Nonseparable dynamic nearest neighbor Gaussian process models for large spatio-temporal data with an application to particulate matter analysis. The Annals of Applied Statistics. 10(3), 1286-1316. doi: 10.1214/16-AOAS931 ( 28 citations ) 
Dolan, K. A., Hurtt, G. C., Flanagan, S. A., Fisk, J. P., Sahajpal, R., Huang, C., Page, Y. L., Dubayah, R., Masek, J. G. 2017. Disturbance Distance: quantifying forests' vulnerability to disturbance under current and future conditions. Environmental Research Letters. 12(11), 114015. doi: 10.1088/1748-9326/aa8ea9 ( 8 citations ) 
Finley, A. O., Banerjee, S., E.Gelfand, A. 2015. spBayesfor Large Univariate and Multivariate Point-Referenced Spatio-Temporal Data Models. Journal of Statistical Software. 63(13). doi: 10.18637/jss.v063.i13 ( 42 citations ) 
Finley, A. O., Banerjee, S., Weiskittel, A. R., Babcock, C., Cook, B. D. 2014. Dynamic spatial regression models for space-varying forest stand tables. Environmetrics. 25:596--609. doi: 10.1002/env.2322 ( 6 citations ) 
Finley, A. O., Banerjee, S., Zhou, Y., Cook, B. D., Babcock, C. 2017. Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables. Remote Sensing of Environment. 190, 149-161. doi: 10.1016/j.rse.2016.12.004 ( 4 citations ) 
Flanagan, S., Hurtt, G., Fisk, J., Sahajpal, R., Hansen, M., Dolan, K., Sullivan, J., Zhao, M. 2016. Potential Vegetation and Carbon Redistribution in Northern North America from Climate Change. Climate. 4(1), 2. doi: 10.3390/cli4010002 ( 8 citations ) 
Hamm, N. A. S., Finley, A. O., Schaap, M., Stein, A. 2015. A spatially varying coefficient model for mapping PM10 air quality at the European scale. Atmospheric Environment. 102, 393-405. doi: 10.1016/j.atmosenv.2014.11.043 ( 23 citations ) 
Huang, W., Dolan, K. A., Swatantran, A., Johnson, K. D., Tang, H., ONeil-Dunne, J., Dubayah, R., Hurtt, G. 2019. High-resolution mapping of aboveground biomass for forest carbon monitoring system in the Tri-State region of Maryland, Pennsylvania and Delaware, USA. Environmental Research Letters. doi: 10.1088/1748-9326/ab2917 ( 2 citations ) 
Huang, W., Swatantran, A., Johnson, K., Duncanson, L., Tang, H., O'Neil Dunne, J., Hurtt, G., Dubayah, R. 2015. Local discrepancies in continental scale biomass maps: a case study over forested and non-forested landscapes in Maryland, USA. Carbon Balance and Management. 10(1). doi: 10.1186/s13021-015-0030-9 ( 19 citations ) 
Hurtt, G. C., Thomas, R. Q., Fisk, J. P., Dubayah, R. O., Sheldon, S. L. 2016. The Impact of Fine-Scale Disturbances on the Predictability of Vegetation Dynamics and Carbon Flux. PLOS ONE. 11(4), e0152883. doi: 10.1371/journal.pone.0152883 ( 11 citations ) 
Hurtt, G., Zhao, M., Sahajpal, R., Armstrong, A., Birdsey, R., Campbell, E., Dolan, K. A., Dubayah, R., Fisk, J. P., Flanagan, S. A., Huang, C., Huang, W., Johnson, K. D., Lamb, R., Ma, L., Marks, R., O'Leary, D., O'Neil-Dunne, J., Swatantran, A., Tang, H. 2019. Beyond MRV: High-resolution forest carbon modeling for climate mitigation planning over Maryland, USA. Environmental Research Letters. doi: 10.1088/1748-9326/ab0bbe ( 5 citations )   [quad chart]
Itter, M.S., A.O. Finley, A.W. D'Amato, J.R. Foster, and J.B. Bradford. (2017) Variable effects of climate on forest growth in relation to ecosystem state. Ecological Applications, 27, 1082-1095. doi: 10.1002/eap.1518 ( 11 citations ) 
Johnson, K. D., Birdsey, R., Cole, J., Swatantran, A., O'Neil-Dunne, J., Dubayah, R., Lister, A. 2015. Integrating LIDAR and forest inventories to fill the trees outside forests data gap. Environmental Monitoring and Assessment. 187(10). doi: 10.1007/s10661-015-4839-1 ( 9 citations ) 
Johnson, K. D., Birdsey, R., Finley, A. O., Swantaran, A., Dubayah, R., Wayson, C., Riemann, R. 2014. Integrating forest inventory and analysis data into a LIDAR-based carbon monitoring system. Carbon Balance and Management. 9(1), 3. doi: 10.1186/1750-0680-9-3 ( 19 citations ) 
Johnson, K. D., Domke, G. M., Russell, M. B., Walters, B., Hom, J., Peduzzi, A., Birdsey, R., Dolan, K., Huang, W. 2017. Estimating aboveground live understory vegetation carbon in the United States. Environmental Research Letters. 12(12), 125010. doi: 10.1088/1748-9326/aa8fdb ( 6 citations ) 
Junttila, V., Kauranne, T., Finley, A. O., Bradford, J. B. 2015. Linear Models for Airborne-Laser-Scanning-Based Operational Forest Inventory With Small Field Sample Size and Highly Correlated LiDAR Data. IEEE Transactions on Geoscience and Remote Sensing. 53(10), 5600-5612. doi: 10.1109/TGRS.2015.2425916 ( 19 citations ) 
Riemann, R., Liknes, G., O'Neil-Dunne, J., Toney, C., Lister, T. 2016. Comparative assessment of methods for estimating tree canopy cover across a rural-to-urban gradient in the mid-Atlantic region of the USA. Environmental Monitoring and Assessment. 188(5), pp.1-17. doi: 10.1007/s10661-016-5281-8 ( 3 citations ) 
Salazar, E., Hammerling, D., Wang, X., Sanso, B., Finley, A. O., Mearns, L. O. 2016. Observation-based blended projections from ensembles of regional climate models. Climatic Change. 138(1-2), 55-69. doi: 10.1007/s10584-016-1722-1 ( 5 citations ) 

Basu, S., Mukhopadhyay, S., Karki, M., DiBiano, R., Ganguly, S., Nemani, R., Gayaka, S. 2018. Deep neural networks for texture classification--A theoretical analysis. Neural Networks. 97, 173-182. doi: 10.1016/j.neunet.2017.10.001 ( 33 citations ) 
Dolan, K. A., Hurtt, G. C., Flanagan, S. A., Fisk, J. P., Sahajpal, R., Huang, C., Page, Y. L., Dubayah, R., Masek, J. G. 2017. Disturbance Distance: quantifying forests' vulnerability to disturbance under current and future conditions. Environmental Research Letters. 12(11), 114015. doi: 10.1088/1748-9326/aa8ea9 ( 8 citations ) 
Fisher, R. A., Koven, C. D., Anderegg, W. R. L., Christoffersen, B. O., Dietze, M. C., Farrior, C. E., Holm, J. A., Hurtt, G. C., Knox, R. G., Lawrence, P. J., Lichstein, J. W., Longo, M., Matheny, A. M., Medvigy, D., Muller-Landau, H. C., Powell, T. L., Serbin, S. P., Sato, H., Shuman, J. K., Smith, B., Trugman, A. T., Viskari, T., Verbeeck, H., Weng, E., Xu, C., Xu, X., Zhang, T., Moorcroft, P. R. 2017. Vegetation demographics in Earth System Models: A review of progress and priorities. Global Change Biology. 24(1), 35-54. doi: 10.1111/gcb.13910 ( 162 citations ) 
Flanagan, S. A., Hurtt, G. C., Fisk, J. P., Sahajpal, R., Zhao, M., Dubayah, R., Hansen, M. C., Sullivan, J. H., Collatz, G. J. 2019. Potential Transient Response of Terrestrial Vegetation and Carbon in Northern North America from Climate Change. Climate. 7(9), 113. doi: 10.3390/cli7090113
Huang, W., Dolan, K. A., Swatantran, A., Johnson, K. D., Tang, H., ONeil-Dunne, J., Dubayah, R., Hurtt, G. 2019. High-resolution mapping of aboveground biomass for forest carbon monitoring system in the Tri-State region of Maryland, Pennsylvania and Delaware, USA. Environmental Research Letters. doi: 10.1088/1748-9326/ab2917 ( 2 citations ) 
Huang, W., Swatantran, A., Duncanson, L., Johnson, K., Watkinson, D., Dolan, K., O'Neil-Dunne, J., Hurtt, G., Dubayah, R. 2017. County-scale biomass map comparison: a case study for Sonoma, California. Carbon Management. 8(5-6), 417-434. doi: 10.1080/17583004.2017.1396840 ( 5 citations ) 
Hurtt, G., Zhao, M., Sahajpal, R., Armstrong, A., Birdsey, R., Campbell, E., Dolan, K. A., Dubayah, R., Fisk, J. P., Flanagan, S. A., Huang, C., Huang, W., Johnson, K. D., Lamb, R., Ma, L., Marks, R., O'Leary, D., O'Neil-Dunne, J., Swatantran, A., Tang, H. 2019. Beyond MRV: High-resolution forest carbon modeling for climate mitigation planning over Maryland, USA. Environmental Research Letters. doi: 10.1088/1748-9326/ab0bbe ( 5 citations )   [quad chart]
Kumar, U., Ganguly, S., Nemani, R. R., Raja, K. S., Milesi, C., Sinha, R., Michaelis, A., Votava, P., Hashimoto, H., Li, S., Wang, W., Kalia, S., Gayaka, S. 2017. Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing. Remote Sensing. 9(11), 1105. doi: 10.3390/rs9111105 ( 3 citations ) 
Ma, L., Hurtt, G. C., Chini, L. P., Sahajpal, R., Pongratz, J., Frolking, S., Stehfest, E., Klein Goldewijk, K., O'Leary, D., Doelman, J. C. 2020. Global rules for translating land-use change (LUH2) to land-cover change for CMIP6 using GLM2. Geoscientific Model Development. 13(7), 3203-3220. doi: 10.5194/gmd-13-3203-2020 ( 1 citations )   [quad chart]
McDowell, N. G., Allen, C. D., Anderson-Teixeira, K., Aukema, B. H., Bond-Lamberty, B., Chini, L., Clark, J. S., Dietze, M., Grossiord, C., Hanbury-Brown, A., Hurtt, G. C., Jackson, R. B., Johnson, D. J., Kueppers, L., Lichstein, J. W., Ogle, K., Poulter, B., Pugh, T. A. M., Seidl, R., Turner, M. G., Uriarte, M., Walker, A. P., Xu, C. 2020. Pervasive shifts in forest dynamics in a changing world. Science. 368(6494), eaaz9463. doi: 10.1126/science.aaz9463 ( 13 citations )   [quad chart]

Bandaru, V., Yaramasu, R., PNVR, K., He, J., Fernando, S., Sahajpal, R., Wardlow, B. D., Suyker, A., Justice, C. 2020. PhenoCrop: An integrated satellite-based framework to estimate physiological growth stages of corn and soybeans. International Journal of Applied Earth Observation and Geoinformation. 92, 102188. doi: 10.1016/j.jag.2020.102188

Barrera, Y. D., Nehrkorn, T., Hegarty, J., Sargent, M., Benmergui, J., Gottlieb, E., Wofsy, S. C., DeCola, P., Hutyra, L., Jones, T. 2019. Using Lidar Technology To Assess Urban Air Pollution and Improve Estimates of Greenhouse Gas Emissions in Boston. Environmental Science & Technology. 53(15), 8957-8966. doi: 10.1021/acs.est.9b00650 ( 1 citations ) 
Wecht, K. J., Jacob, D. J., Frankenberg, C., Jiang, Z., Blake, D. R. 2014. Mapping of North American methane emissions with high spatial resolution by inversion of SCIAMACHY satellite data. Journal of Geophysical Research: Atmospheres. 119(12), 7741-7756. doi: 10.1002/2014JD021551 ( 67 citations ) 
Wecht, K. J., Jacob, D. J., Sulprizio, M. P., Santoni, G. W., Wofsy, S. C., Parker, R., Bosch, H., Worden, J. 2014. Spatially resolving methane emissions in California: constraints from the CalNex aircraft campaign and from present (GOSAT, TES) and future (TROPOMI, geostationary) satellite observations. Atmospheric Chemistry and Physics. 14(15), 8173-8184. doi: 10.5194/acp-14-8173-2014 ( 59 citations ) 

Maasakkers, J. D., Jacob, D. J., Sulprizio, M. P., Turner, A. J., Weitz, M., Wirth, T., Hight, C., DeFigueiredo, M., Desai, M., Schmeltz, R., Hockstad, L., Bloom, A. A., Bowman, K. W., Jeong, S., Fischer, M. L. 2016. Gridded National Inventory of U.S. Methane Emissions. Environmental Science & Technology. 50(23), 13123-13133. doi: 10.1021/acs.est.6b02878 ( 69 citations ) 
Parker, R. J., Boesch, H., McNorton, J., Comyn-Platt, E., Gloor, M., Wilson, C., Chipperfield, M. P., Hayman, G. D., Bloom, A. A. 2018. Evaluating year-to-year anomalies in tropical wetland methane emissions using satellite CH 4 observations. Remote Sensing of Environment. 211, 261-275. doi: 10.1016/j.rse.2018.02.011 ( 12 citations ) 
Sheng, J., Jacob, D. J., Maasakkers, J. D., Sulprizio, M. P., Zavala-Araiza, D., Hamburg, S. P. 2017. A high-resolution (0.1deg x 0.1deg) inventory of methane emissions from Canadian and Mexican oil and gas systems. Atmospheric Environment. 158, 211-215. doi: 10.1016/j.atmosenv.2017.02.036 ( 10 citations ) 
Turner, A. J., Frankenberg, C., Wennberg, P. O., Jacob, D. J. 2017. Ambiguity in the causes for decadal trends in atmospheric methane and hydroxyl. Proceedings of the National Academy of Sciences. 114(21), 5367-5372. doi: 10.1073/pnas.1616020114 ( 110 citations ) 
Turner, A. J., Jacob, D. J. 2015. Balancing aggregation and smoothing errors in inverse models. Atmospheric Chemistry and Physics. 15(12), 7039-7048. doi: 10.5194/acp-15-7039-2015 ( 18 citations ) 
Turner, A. J., Jacob, D. J., Benmergui, J., Wofsy, S. C., Maasakkers, J. D., Butz, A., Hasekamp, O., Biraud, S. C. 2016. A large increase in U.S. methane emissions over the past decade inferred from satellite data and surface observations. Geophysical Research Letters. 43(5), 2218-2224. doi: 10.1002/2016gl067987 ( 74 citations ) 
Turner, A. J., Jacob, D. J., Wecht, K. J., Maasakkers, J. D., Lundgren, E., Andrews, A. E., Biraud, S. C., Boesch, H., Bowman, K. W., Deutscher, N. M., Dubey, M. K., Griffith, D. W. T., Hase, F., Kuze, A., Notholt, J., Ohyama, H., Parker, R., Payne, V. H., Sussmann, R., Sweeney, C., Velazco, V. A., Warneke, T., Wennberg, P. O., Wunch, D. 2015. Estimating global and North American methane emissions with high spatial resolution using GOSAT satellite data. Atmospheric Chemistry and Physics. 15(12), 7049-7069. doi: 10.5194/acp-15-7049-2015 ( 100 citations ) 
Zhang, Y., Gautam, R., Pandey, S., Omara, M., Maasakkers, J. D., Sadavarte, P., Lyon, D., Nesser, H., Sulprizio, M. P., Varon, D. J., Zhang, R., Houweling, S., Zavala-Araiza, D., Alvarez, R. A., Lorente, A., Hamburg, S. P., Aben, I., Jacob, D. J. 2020. Quantifying methane emissions from the largest oil-producing basin in the United States from space. Science Advances. 6(17), eaaz5120. doi: 10.1126/sciadv.aaz5120 ( 2 citations ) 

Alvarez, R. A., Zavala-Araiza, D., Lyon, D. R., Allen, D. T., Barkley, Z. R., Brandt, A. R., Davis, K. J., Herndon, S. C., Jacob, D. J., Karion, A., Kort, E. A., Lamb, B. K., Lauvaux, T., Maasakkers, J. D., Marchese, A. J., Omara, M., Pacala, S. W., Peischl, J., Robinson, A. L., Shepson, P. B., Sweeney, C., Townsend-Small, A., Wofsy, S. C., Hamburg, S. P. 2018. Assessment of methane emissions from the U.S. oil and gas supply chain. Science. eaar7204. doi: 10.1126/science.aar7204 ( 86 citations ) 
Cusworth, D. H., Jacob, D. J., Sheng, J., Benmergui, J., Turner, A. J., Brandman, J., White, L., Randles, C. A. 2018. Detecting high-emitting methane sources in oil/gas fields using satellite observations. Atmospheric Chemistry and Physics. 18(23), 16885-16896. doi: 10.5194/acp-18-16885-2018 ( 9 citations ) 
Maasakkers, J. D., Jacob, D. J., Sulprizio, M. P., Scarpelli, T. R., Nesser, H., Sheng, J., Zhang, Y., Hersher, M., Bloom, A. A., Bowman, K. W., Worden, J. R., Janssens-Maenhout, G., Parker, R. J. 2019. Global distribution of methane emissions, emission trends, and OH concentrations and trends inferred from an inversion of GOSAT satellite data for 2010-2015. Atmospheric Chemistry and Physics. 19(11), 7859-7881. doi: 10.5194/acp-19-7859-2019 ( 14 citations ) 
Parker, R. J., Boesch, H., McNorton, J., Comyn-Platt, E., Gloor, M., Wilson, C., Chipperfield, M. P., Hayman, G. D., Bloom, A. A. 2018. Evaluating year-to-year anomalies in tropical wetland methane emissions using satellite CH 4 observations. Remote Sensing of Environment. 211, 261-275. doi: 10.1016/j.rse.2018.02.011 ( 12 citations ) 
Scarpelli, T. R., Jacob, D. J., Octaviano Villasana, C. A., Ramirez Hernandez, I. F., Cardenas Moreno, P. R., Cortes Alfaro, E. A., Garcia Garcia, M. A., Zavala-Araiza, D. 2020. A gridded inventory of anthropogenic methane emissions from Mexico based on Mexico's National Inventory of Greenhouse Gases and Compounds. Environmental Research Letters. doi: 10.1088/1748-9326/abb42b  [quad chart]
Sheng, J., Jacob, D. J., Maasakkers, J. D., Zhang, Y., Sulprizio, M. P. 2018. Comparative analysis of low-Earth orbit (TROPOMI) and geostationary (GeoCARB, GEO-CAPE) satellite instruments for constraining methane emissions on fine regional scales: application to the Southeast US. Atmospheric Measurement Techniques. 11(12), 6379-6388. doi: 10.5194/amt-11-6379-2018 ( 4 citations ) 
Sheng, J., Jacob, D. J., Turner, A. J., Maasakkers, J. D., Benmergui, J., Bloom, A. A., Arndt, C., Gautam, R., Zavala-Araiza, D., Boesch, H., Parker, R. J. 2018. 2010-2016 methane trends over Canada, the United States, and Mexico observed by the GOSAT satellite: contributions from different source sectors. Atmospheric Chemistry and Physics. 18(16), 12257-12267. doi: 10.5194/acp-18-12257-2018 ( 14 citations ) 
Sheng, J., Jacob, D. J., Turner, A. J., Maasakkers, J. D., Sulprizio, M. P., Bloom, A. A., Andrews, A. E., Wunch, D. 2018. High-resolution inversion of methane emissions in the Southeast US using SEAC<sup>4</sup>RS aircraft observations of atmospheric methane: anthropogenic and wetland sources. Atmospheric Chemistry and Physics. 18(9), 6483-6491. doi: 10.5194/acp-18-6483-2018 ( 12 citations ) 
Treat, C. C., Bloom, A. A., Marushchak, M. E. 2018. Nongrowing season methane emissions-a significant component of annual emissions across northern ecosystems. Global Change Biology. doi: 10.1111/gcb.14137 ( 18 citations ) 
Turner, A. J., Jacob, D. J., Benmergui, J., Brandman, J., White, L., Randles, C. A. 2018. Assessing the capability of different satellite observing configurations to resolve the distribution of methane emissions at kilometer scales. Atmospheric Chemistry and Physics. 18(11), 8265-8278. doi: 10.5194/acp-18-8265-2018 ( 7 citations ) 
Varon, D. J., Jacob, D. J., McKeever, J., Jervis, D., Durak, B. O. A., Xia, Y., Huang, Y. 2018. Quantifying methane point sources from fine-scale satellite observations of atmospheric methane plumes. Atmospheric Measurement Techniques. 11(10), 5673-5686. doi: 10.5194/amt-11-5673-2018 ( 24 citations ) 
Zhang, Y., Gautam, R., Zavala-Araiza, D., Jacob, D. J., Zhang, R., Zhu, L., Sheng, J., Scarpelli, T. 2019. Satellite-Observed Changes in Mexico's Offshore Gas Flaring Activity Linked to Oil/Gas Regulations. Geophysical Research Letters. 46(3), 1879-1888. doi: 10.1029/2018GL081145 ( 7 citations ) 
Zhang, Y., Jacob, D. J., Maasakkers, J. D., Sulprizio, M. P., Sheng, J., Gautam, R., Worden, J. 2018. Monitoring global tropospheric OH concentrations using satellite observations of atmospheric methane. Atmospheric Chemistry and Physics. 18(21), 15959-15973. doi: 10.5194/acp-18-15959-2018 ( 7 citations ) 

Hannun, R. A., Wolfe, G. M., Kawa, S. R., Hanisco, T. F., Newman, P. A., Alfieri, J., Barrick, J. D., Clark, K., DiGangi, J. P., Diskin, G. S., King, J. S., Kustas, W. P., Mitra, B., Noormets, A., Nowak, J. B., Thornhill, K. L., Vargas, R. 2020. Spatial heterogeneity in CO2, CH4, and energy fluxes: insights from airborne eddy covariance measurements over the Mid-Atlantic region. Environmental Research Letters. doi: 10.1088/1748-9326/ab7391  [quad chart]
Wolfe, G. M., Kawa, S. R., Hanisco, T. F., Hannun, R. A., Newman, P. A., Swanson, A., Bailey, S., Barrick, J., Thornhill, K. L., Diskin, G., DiGangi, J., Nowak, J. B., Sorenson, C., Bland, G., Yungel, J. K., Swenson, C. A. 2018. The NASA Carbon Airborne Flux Experiment (CARAFE): instrumentation and methodology. Atmospheric Measurement Techniques. 11(3), 1757-1776. doi: 10.5194/amt-11-1757-2018 ( 11 citations )   [quad chart]

Longo, M., Keller, M., dos-Santos, M. N., Leitold, V., Pinage, E. R., Baccini, A., Saatchi, S., Nogueira, E. M., Batistella, M., Morton, D. C. 2016. Aboveground biomass variability across intact and degraded forests in the Brazilian Amazon. Global Biogeochemical Cycles. 30(11), 1639-1660. doi: 10.1002/2016GB005465 ( 41 citations )   [quad chart]
Morton, D. C., Rubio, J., Cook, B. D., Gastellu-Etchegorry, J., Longo, M., Choi, H., Hunter, M., Keller, M. 2016. Amazon forest structure generates diurnal and seasonal variability in light utilization. Biogeosciences. 13(7), 2195-2206. doi: 10.5194/bg-13-2195-2016 ( 19 citations ) 
Rangel Pinage, E., Keller, M., Duffy, P., Longo, M., dos-Santos, M., Morton, D. 2019. Long-Term Impacts of Selective Logging on Amazon Forest Dynamics from Multi-Temporal Airborne LiDAR. Remote Sensing. 11(6), 709. doi: 10.3390/rs11060709 ( 10 citations )   [quad chart]

Bell, D. M., Gregory, M. J., Kane, V., Kane, J., Kennedy, R. E., Roberts, H. M., Yang, Z. 2018. Multiscale divergence between Landsat- and lidar-based biomass mapping is related to regional variation in canopy cover and composition. Carbon Balance and Management. 13(1). doi: 10.1186/s13021-018-0104-6 ( 3 citations ) 
Kennedy, R. E., Ohmann, J., Gregory, M., Roberts, H., Yang, Z., Bell, D. M., Kane, V., Hughes, M. J., Cohen, W. B., Powell, S., Neeti, N., Larrue, T., Hooper, S., Kane, J., Miller, D. L., Perkins, J., Braaten, J., Seidl, R. 2018. An empirical, integrated forest biomass monitoring system. Environmental Research Letters. 13(2), 025004. doi: 10.1088/1748-9326/aa9d9e ( 22 citations ) 
Neeti, N., Kennedy, R. 2016. Comparison of national level biomass maps for conterminous US: understanding pattern and causes of differences. Carbon Balance and Management. 11(1). doi: 10.1186/s13021-016-0060-y ( 7 citations ) 

Kennedy, R., Yang, Z., Gorelick, N., Braaten, J., Cavalcante, L., Cohen, W., Healey, S. 2018. Implementation of the LandTrendr Algorithm on Google Earth Engine. Remote Sensing. 10(5), 691. doi: 10.3390/rs10050691 ( 51 citations ) 
Liu, Y., Piao, S., Gasser, T., Ciais, P., Yang, H., Wang, H., Keenan, T. F., Huang, M., Wan, S., Song, J., Wang, K., Janssens, I. A., Penuelas, J., Huntingford, C., Wang, X., Altaf Arain, M., Fang, Y., Fisher, J. B., Huang, M., Huntzinger, D. N., Ito, A., Jain, A. K., Mao, J., Michalak, A. M., Peng, C., Poulter, B., Schwalm, C., Shi, X., Tian, H., Wei, Y., Zeng, N., Zhu, Q., Wang, T. 2019. Field-experiment constraints on the enhancement of the terrestrial carbon sink by CO2 fertilization. Nature Geoscience. doi: 10.1038/s41561-019-0436-1 ( 12 citations ) 
Schwalm, C. R., Huntinzger, D. N., Michalak, A. M., Schaefer, K., Fisher, J. B., Fang, Y., Wei, Y. 2020. Modeling suggests fossil fuel emissions have been driving increased land carbon uptake since the turn of the 20th Century. Scientific Reports. 10(1). doi: 10.1038/s41598-020-66103-9  [quad chart]
Schwalm, C. R., Schaefer, K., Fisher, J. B., Huntzinger, D., Elshorbany, Y., Fang, Y., Hayes, D., Jafarov, E., Michalak, A. M., Piper, M., Stofferahn, E., Wang, K., Wei, Y. 2019. Divergence in land surface modeling: linking spread to structure. Environmental Research Communications. 1(11), 111004. doi: 10.1088/2515-7620/ab4a8a ( 1 citations ) 

Butler, M. P., Lauvaux, T., Feng, S., Liu, J., Bowman, K. W., Davis, K. J. 2019. Mass-conserving coupling of total column CO<sub>2</sub> (XCO<sub>2</sub>) from global to mesoscale models: Case study with CMS-Flux inversion system and WRF-Chem (v3.6.1). Geoscientific Model Development Discussions. 1-35. doi: 10.5194/gmd-2018-342
Butler, M. P., Lauvaux, T., Feng, S., Liu, J., Bowman, K. W., Davis, K. J. 2020. Atmospheric Simulations of Total Column CO2 Mole Fractions from Global to Mesoscale within the Carbon Monitoring System Flux Inversion Framework. Atmosphere. 11(8), 787. doi: 10.3390/atmos11080787 ( 1 citations ) 
Diaz-Isaac, L. I., Lauvaux, T., Bocquet, M., Davis, K. J. 2019. Calibration of a multi-physics ensemble for estimating the uncertainty of a greenhouse gas atmospheric transport model. Atmospheric Chemistry and Physics. 19(8), 5695-5718. doi: 10.5194/acp-19-5695-2019 ( 2 citations ) 
Diaz-Isaac, L. I., Lauvaux, T., Davis, K. J. 2018. Impact of physical parameterizations and initial conditions on simulated atmospheric transport and CO2 mole fractions in the US Midwest. Atmospheric Chemistry and Physics. 18(20), 14813-14835. doi: 10.5194/acp-18-14813-2018 ( 11 citations ) 
Liu, J., Bowman, K. W., Henze, D. K. 2015. Source-receptor relationships of column-average CO 2 and implications for the impact of observations on flux inversions. Journal of Geophysical Research: Atmospheres. 120(10), 5214-5236. doi: 10.1002/2014JD022914 ( 14 citations ) 
Liu, J., Bowman, K. W., Lee, M., Henze, D. K., Bousserez, N., Brix, H., James Collatz, G., Menemenlis, D., Ott, L., Pawson, S., Jones, D., Nassar, R. 2014. Carbon monitoring system flux estimation and attribution: impact of ACOS-GOSAT XCO2 sampling on the inference of terrestrial biospheric sources and sinks. Tellus B: Chemical and Physical Meteorology. 66(1), 22486. doi: 10.3402/tellusb.v66.22486 ( 59 citations ) 
Liu, J., Bowman, K., Parazoo, N. C., Bloom, A. A., Wunch, D., Jiang, Z., Gurney, K. R., Schimel, D. 2018. Detecting drought impact on terrestrial biosphere carbon fluxes over contiguous US with satellite observations. Environmental Research Letters. 13(9), 095003. doi: 10.1088/1748-9326/aad5ef ( 7 citations )   [quad chart]

Kannenberg, S. A., Bowling, D. R., Anderegg, W. R. L. 2020. Hot moments in ecosystem fluxes: High GPP anomalies exert outsized influence on the carbon cycle and are differentially driven by moisture availability across biomes. Environmental Research Letters. 15(5), 054004. doi: 10.1088/1748-9326/ab7b97 ( 1 citations ) 
Magney, T. S., Bowling, D. R., Logan, B. A., Grossmann, K., Stutz, J., Blanken, P. D., Burns, S. P., Cheng, R., Garcia, M. A., Kohler, P., Lopez, S., Parazoo, N. C., Raczka, B., Schimel, D., Frankenberg, C. 2019. Mechanistic evidence for tracking the seasonality of photosynthesis with solar-induced fluorescence. Proceedings of the National Academy of Sciences. 201900278. doi: 10.1073/pnas.1900278116 ( 18 citations )   [quad chart]
Peters, W., van der Velde, I. R., van Schaik, E., Miller, J. B., Ciais, P., Duarte, H. F., van der Laan-Luijkx, I. T., van der Molen, M. K., Scholze, M., Schaefer, K., Vidale, P. L., Verhoef, A., Warlind, D., Zhu, D., Tans, P. P., Vaughn, B., White, J. W. C. 2018. Increased water-use efficiency and reduced CO2 uptake by plants during droughts at a continental scale. Nature Geoscience. 11(10), 744-748. doi: 10.1038/s41561-018-0212-7 ( 24 citations ) 
Raczka, B., Porcar-Castell, A., Magney, T., Lee, J. E., Kohler, P., Frankenberg, C., Grossmann, K., Logan, B. A., Stutz, J., Blanken, P. D., Burns, S. P., Duarte, H., Yang, X., Lin, J. C., Bowling, D. R. 2019. Sustained Non-Photochemical Quenching Shapes the Seasonal Pattern of Solar- Induced Fluorescence at a High-Elevation Evergreen Forest. Journal of Geophysical Research: Biogeosciences. doi: 10.1029/2018JG004883 ( 5 citations ) 
Zuromski, L. M., Bowling, D. R., Kohler, P., Frankenberg, C., Goulden, M. L., Blanken, P. D., Lin, J. C. 2018. Solar-Induced Fluorescence Detects Interannual Variation in Gross Primary Production of Coniferous Forests in the Western United States. Geophysical Research Letters. 45(14), 7184-7193. doi: 10.1029/2018GL077906 ( 19 citations ) 

Cai, W., Arthur Chen, C. T., Borges, A. Carbon dioxide dynamics and fluxes in coastal waters influenced by river plumes, in: Bianchi, T., Allison, M., Cai, W. (Eds.), Biogeochemical Dynamics at Major River-Coastal Interfaces. Cambridge University Press (CUP), 155-173. doi: 10.1017/CBO9781139136853.010 ( 3 citations ) 
Chakraborty, S., Lohrenz, S. E., Gundersen, K. 2017. Photophysiological and light absorption properties of phytoplankton communities in the river-dominated margin of the northern Gulf of Mexico. Journal of Geophysical Research: Oceans. 122(6), 4922-4938. doi: 10.1002/2016JC012092 ( 3 citations )   [quad chart]
Chen, G., Tian, H., Huang, C., Prior, S. A., Pan, S. 2013. Integrating a process-based ecosystem model with Landsat imagery to assess impacts of forest disturbance on terrestrial carbon dynamics: Case studies in Alabama and Mississippi. Journal of Geophysical Research: Biogeosciences. 118(3), 1208-1224. doi: 10.1002/jgrg.20098 ( 10 citations ) 
Chen, G., Tian, H., Zhang, C., Liu, M., Ren, W., Zhu, W., Chappelka, A. H., Prior, S. A., Lockaby, G. B. 2012. Drought in the Southern United States over the 20th century: variability and its impacts on terrestrial ecosystem productivity and carbon storage. Climatic Change. 114(2), 379-397. doi: 10.1007/s10584-012-0410-z ( 77 citations ) 
Guo, X., Cai, W., Huang, W., Wang, Y., Chen, F., Murrell, M. C., Lohrenz, S. E., Jiang, L., Dai, M., Hartmann, J., Lin, Q., Culp, R. 2011. Carbon dynamics and community production in the Mississippi River plume. Limnology and Oceanography. 57(1), 1-17. doi: 10.4319/lo.2012.57.1.0001 ( 55 citations ) 
Hopkinson, C. S., Cai, W., Hu, X. 2012. Carbon sequestration in wetland dominated coastal systems--a global sink of rapidly diminishing magnitude. Current Opinion in Environmental Sustainability. 4(2), 186-194. doi: 10.1016/j.cosust.2012.03.005 ( 108 citations ) 
Huang, W., Cai, W., Castelao, R. M., Wang, Y., Lohrenz, S. E. 2013. Effects of a wind-driven cross-shelf large river plume on biological production and CO 2 uptake on the Gulf of Mexico during spring. Limnology and Oceanography. 58(5), 1727-1735. doi: 10.4319/lo.2013.58.5.1727 ( 29 citations ) 
Huang, W., Wang, Y., Cai, W. 2012. Assessment of sample storage techniques for total alkalinity and dissolved inorganic carbon in seawater. Limnology and Oceanography: Methods. 10(9), 711-717. doi: 10.4319/lom.2012.10.711 ( 49 citations ) 
Liu, M., Tian, H., Yang, Q., Yang, J., Song, X., Lohrenz, S. E., Cai, W. 2013. Long-term trends in evapotranspiration and runoff over the drainage basins of the Gulf of Mexico during 1901-2008. Water Resources Research. 49(4), 1988-2012. doi: 10.1002/wrcr.20180 ( 56 citations ) 
Lohrenz, S. E., Cai, W., Chakraborty, S., Gundersen, K., Murrell, M. C. Nutrient and carbon dynamics in a large river-dominated coastal ecosystem: the Mississippi-Atchafalaya River system, in: Bianchi, T., Allison, M., Cai, W. (Eds.), Biogeochemical Dynamics at Major River-Coastal Interfaces. Cambridge University Press (CUP), 448-472. doi: 10.1017/CBO9781139136853.023 ( 3 citations ) 
Lohrenz, S. E., Cai, W., Chakraborty, S., Huang, W., Guo, X., He, R., Xue, Z., Fennel, K., Howden, S., Tian, H. 2018. Satellite estimation of coastal p CO 2 and air-sea flux of carbon dioxide in the northern Gulf of Mexico. Remote Sensing of Environment. 207, 71-83. doi: 10.1016/j.rse.2017.12.039 ( 11 citations )   [quad chart]
Tao, B., Tian, H., Ren, W., Yang, J., Yang, Q., He, R., Cai, W., Lohrenz, S. 2014. Increasing Mississippi river discharge throughout the 21st century influenced by changes in climate, land use, and atmospheric CO 2. Geophysical Research Letters. 41(14), 4978-4986. doi: 10.1002/2014GL060361 ( 52 citations ) 
Tian, H., Chen, G., Lu, C., Xu, X., Hayes, D. J., Ren, W., Pan, S., Huntzinger, D. N., Wofsy, S. C. 2014. North American terrestrial CO2 uptake largely offset by CH4 and N2O emissions: toward a full accounting of the greenhouse gas budget. Climatic Change. 129(3-4), 413-426. doi: 10.1007/s10584-014-1072-9 ( 49 citations ) 
Tian, H., Chen, G., Zhang, C., Liu, M., Sun, G., Chappelka, A., Ren, W., Xu, X., Lu, C., Pan, S., Chen, H., Hui, D., McNulty, S., Lockaby, G., Vance, E. 2012. Century-Scale Responses of Ecosystem Carbon Storage and Flux to Multiple Environmental Changes in the Southern United States. Ecosystems. 15(4), 674-694. doi: 10.1007/s10021-012-9539-x ( 91 citations ) 
Tian, H., Lu, C., Chen, G., Tao, B., Pan, S., Grosso, S. J. D., Xu, X., Bruhwiler, L., Wofsy, S. C., Kort, E. A., Prior, S. A. 2012. Contemporary and projected biogenic fluxes of methane and nitrous oxide in North American terrestrial ecosystems. Frontiers in Ecology and the Environment. 10(10), 528-536. doi: 10.1890/120057 ( 37 citations ) 
Tian, H., Ren, W., Yang, J., Tao, B., Cai, W., Lohrenz, S. E., Hopkinson, C. S., Liu, M., Yang, Q., Lu, C., Zhang, B., Banger, K., Pan, S., He, R., Xue, Z. 2015. Climate extremes dominating seasonal and interannual variations in carbon export from the Mississippi River Basin. Global Biogeochemical Cycles. 29(9), 1333-1347. doi: 10.1002/2014GB005068 ( 21 citations ) 
Tian, H., Xu, R., Pan, S., Yao, Y., Bian, Z., Cai, W., Hopkinson, C. S., Justic, D., Lohrenz, S., Lu, C., Ren, W., Yang, J. 2020. Long-Term Trajectory of Nitrogen Loading and Delivery From Mississippi River Basin to the Gulf of Mexico. Global Biogeochemical Cycles. 34(5). doi: 10.1029/2019GB006475 ( 3 citations ) 
Wang, Z. A., Wanninkhof, R., Cai, W., Byrne, R. H., Hu, X., Peng, T., Huang, W. 2013. The marine inorganic carbon system along the Gulf of Mexico and Atlantic coasts of the United States: Insights from a transregional coastal carbon study. Limnology and Oceanography. 58(1), 325-342. doi: 10.4319/lo.2013.58.1.0325 ( 77 citations ) 
Xu, X. F., Tian, H. Q., Chen, G. S., Liu, M. L., Ren, W., Lu, C. Q., Zhang, C. 2012. Multifactor controls on terrestrial N2O flux over North America from 1979 through 2010. Biogeosciences. 9(4), 1351-1366. doi: 10.5194/bg-9-1351-2012 ( 22 citations ) 
Xue, Z., He, R., Fennel, K., Cai, W., Lohrenz, S., Hopkinson, C. 2013. Modeling ocean circulation and biogeochemical variability in the Gulf of Mexico. Biogeosciences. 10(11), 7219-7234. doi: 10.5194/bg-10-7219-2013 ( 39 citations ) 
Xue, Z., He, R., Fennel, K., Cai, W., Lohrenz, S., Huang, W., Tian, H., Ren, W., Zang, Z. 2016. Modeling pCO2 variability in the Gulf of Mexico. Biogeosciences. 13(15), 4359-4377. doi: 10.5194/bg-13-4359-2016 ( 12 citations )   [quad chart]
Zhang, B., Tian, H., Lu, C., Chen, G., Pan, S., Anderson, C., Poulter, B. 2017. Methane emissions from global wetlands: An assessment of the uncertainty associated with various wetland extent data sets. Atmospheric Environment. 165, 310-321. doi: 10.1016/j.atmosenv.2017.07.001 ( 16 citations ) 
Zhang, C., Tian, H., Chen, G., Chappelka, A., Xu, X., Ren, W., Hui, D., Liu, M., Lu, C., Pan, S., Lockaby, G. 2012. Impacts of urbanization on carbon balance in terrestrial ecosystems of the Southern United States. Environmental Pollution. 164, 89-101. doi: 10.1016/j.envpol.2012.01.020 ( 83 citations ) 

Benway, H. M., Alin, S. R., Boyer, E., Cai, W., Coble, P. G., Cross, J. N., Friedrichs, M. A. M., Goni, M., Griffith, P., Herrmann, M., Lohrenz, S. E., Mathis, J. T., McKinley, G. A., Najjar, R. G., Pilskaln, C. H., Siedlecki, S. A., Smith, R. A. 2016. A science plan for carbon cycle research in North American coastal waters. Report of the Coastal CARbon Synthesis (CCARS) community workshop, August 19-21, 2014 doi: 10.1575/1912/7777 ( 4 citations ) 
Chakraborty, S., Lohrenz, S. 2015. Phytoplankton community structure in the river-influenced continental margin of the northern Gulf of Mexico. Marine Ecology Progress Series. 521, 31-47. doi: 10.3354/meps11107 ( 27 citations ) 
Chakraborty, S., Lohrenz, S. E., Gundersen, K. 2017. Photophysiological and light absorption properties of phytoplankton communities in the river-dominated margin of the northern Gulf of Mexico. Journal of Geophysical Research: Oceans. 122(6), 4922-4938. doi: 10.1002/2016JC012092 ( 3 citations )   [quad chart]
Fennel, K., Alin, S., Barbero, L., Evans, W., Bourgeois, T., Cooley, S., Dunne, J., Feely, R. A., Hernandez-Ayon, J. M., Hu, C., Hu, X., Lohrenz, S., Muller-Karger, F., Najjar, R., Robbins, L., Russell, J., Shadwick, E., Siedlecki, S., Steiner, N., Turk, D., Vlahos, P., Wang, Z. A. 2018. Chapter 16: Coastal Ocean and Continental Shelves. Second State of the Carbon Cycle Report doi: 10.7930/soccr2.2018.ch16
Fennel, K., Alin, S., Barbero, L., Evans, W., Bourgeois, T., Cooley, S., Dunne, J., Feely, R. A., Hernandez-Ayon, J. M., Hu, X., Lohrenz, S., Muller-Karger, F., Najjar, R., Robbins, L., Shadwick, E., Siedlecki, S., Steiner, N., Sutton, A., Turk, D., Vlahos, P., Wang, Z. A. 2019. Carbon cycling in the North American coastal ocean: a synthesis. Biogeosciences. 16(6), 1281-1304. doi: 10.5194/bg-16-1281-2019 ( 7 citations ) 
Huang, W., Cai, W., Wang, Y., Hu, X., Chen, B., Lohrenz, S. E., Chakraborty, S., He, R., Brandes, J., Hopkinson, C. S. 2015. The response of inorganic carbon distributions and dynamics to upwelling-favorable winds on the northern Gulf of Mexico during summer. Continental Shelf Research. 111, 211-222. doi: 10.1016/j.csr.2015.08.020 ( 17 citations ) 
Huang, W., Cai, W., Wang, Y., Lohrenz, S. E., Murrell, M. C. 2015. The carbon dioxide system on the Mississippi River-dominated continental shelf in the northern Gulf of Mexico: 1. Distribution and air-sea CO 2 flux. Journal of Geophysical Research: Oceans. 120(3), 1429-1445. doi: 10.1002/2014JC010498 ( 39 citations ) 
Lohrenz, S. E., Cai, W., Chakraborty, S., Huang, W., Guo, X., He, R., Xue, Z., Fennel, K., Howden, S., Tian, H. 2018. Satellite estimation of coastal p CO 2 and air-sea flux of carbon dioxide in the northern Gulf of Mexico. Remote Sensing of Environment. 207, 71-83. doi: 10.1016/j.rse.2017.12.039 ( 11 citations )   [quad chart]
Lu, C., Yu, Z., Tian, H., Hennessy, D., Feng, H., Al-Kaisi, M., Zhou, Y., Sauer, T., Arritt, R. 2018. Increasing carbon footprint of grain crop production in the U.S. Western Corn Belt. Environmental Research Letters. doi: 10.1088/1748-9326/aae9fe ( 5 citations ) 
Lu, C., Zhang, J., Tian, H., Crumpton, W. G., Helmers, M. J., Cai, W., Hopkinson, C. S., Lohrenz, S. E. 2020. Increased extreme precipitation challenges nitrogen load management to the Gulf of Mexico. Communications Earth & Environment. 1(1). doi: 10.1038/s43247-020-00020-7
Najjar, R. G., Herrmann, M., Alexander, R., Boyer, E. W., Burdige, D. J., Butman, D., Cai, W., Canuel, E. A., Chen, R. F., Friedrichs, M. A. M., Feagin, R. A., Griffith, P. C., Hinson, A. L., Holmquist, J. R., Hu, X., Kemp, W. M., Kroeger, K. D., Mannino, A., McCallister, S. L., McGillis, W. R., Mulholland, M. R., Pilskaln, C. H., Salisbury, J., Signorini, S. R., St-Laurent, P., Tian, H., Tzortziou, M., Vlahos, P., Wang, Z. A., Zimmerman, R. C. 2018. Carbon Budget of Tidal Wetlands, Estuaries, and Shelf Waters of Eastern North America. Global Biogeochemical Cycles. 32(3), 389-416. doi: 10.1002/2017GB005790 ( 44 citations ) 
Poulter, B., Bousquet, P., Canadell, J. G., Ciais, P., Peregon, A., Saunois, M., Arora, V. K., Beerling, D. J., Brovkin, V., Jones, C. D., Joos, F., Gedney, N., Ito, A., Kleinen, T., Koven, C. D., McDonald, K., Melton, J. R., Peng, C., Peng, S., Prigent, C., Schroeder, R., Riley, W. J., Saito, M., Spahni, R., Tian, H., Taylor, L., Viovy, N., Wilton, D., Wiltshire, A., Xu, X., Zhang, B., Zhang, Z., Zhu, Q. 2017. Global wetland contribution to 2000-2012 atmospheric methane growth rate dynamics. Environmental Research Letters. 12(9), 094013. doi: 10.1088/1748-9326/aa8391 ( 56 citations ) 
Ren, W., Tian, H., Cai, W., Lohrenz, S. E., Hopkinson, C. S., Huang, W., Yang, J., Tao, B., Pan, S., He, R. 2016. Century-long increasing trend and variability of dissolved organic carbon export from the Mississippi River basin driven by natural and anthropogenic forcing. Global Biogeochemical Cycles. 30(9), 1288-1299. doi: 10.1002/2016GB005395 ( 18 citations )   [quad chart]
Ren, W., Tian, H., Tao, B., Yang, J., Pan, S., Cai, W., Lohrenz, S. E., He, R., Hopkinson, C. S. 2015. Large increase in dissolved inorganic carbon flux from the Mississippi River to Gulf of Mexico due to climatic and anthropogenic changes over the 21st century. Journal of Geophysical Research: Biogeosciences. 120(4), 724-736. doi: 10.1002/2014JG002761 ( 20 citations )   [quad chart]
Salisbury, J., Vandemark, D., Jonsson, B., Balch, W., Chakraborty, S., Lohrenz, S., Chapron, B., Hales, B., Mannino, A., Mathis, J., Reul, N., Signorini, S., Wanninkhof, R., Yates, K. 2015. How Can Present and Future Satellite Missions Support Scientific Studies that Address Ocean Acidification? Oceanography. 25(2), 108-121. doi: 10.5670/oceanog.2015.35 ( 8 citations ) 
Tian, H., Lu, C., Ciais, P., Michalak, A. M., Canadell, J. G., Saikawa, E., Huntzinger, D. N., Gurney, K. R., Sitch, S., Zhang, B., Yang, J., Bousquet, P., Bruhwiler, L., Chen, G., Dlugokencky, E., Friedlingstein, P., Melillo, J., Pan, S., Poulter, B., Prinn, R., Saunois, M., Schwalm, C. R., Wofsy, S. C. 2016. The terrestrial biosphere as a net source of greenhouse gases to the atmosphere. Nature. 531(7593), 225-228. doi: 10.1038/nature16946 ( 189 citations )   [quad chart]
Tian, H., Ren, W., Yang, J., Tao, B., Cai, W., Lohrenz, S. E., Hopkinson, C. S., Liu, M., Yang, Q., Lu, C., Zhang, B., Banger, K., Pan, S., He, R., Xue, Z. 2015. Climate extremes dominating seasonal and interannual variations in carbon export from the Mississippi River Basin. Global Biogeochemical Cycles. 29(9), 1333-1347. doi: 10.1002/2014GB005068 ( 21 citations ) 
Tian, H., Xu, R., Pan, S., Yao, Y., Bian, Z., Cai, W., Hopkinson, C. S., Justic, D., Lohrenz, S., Lu, C., Ren, W., Yang, J. 2020. Long-Term Trajectory of Nitrogen Loading and Delivery From Mississippi River Basin to the Gulf of Mexico. Global Biogeochemical Cycles. 34(5). doi: 10.1029/2019GB006475 ( 3 citations ) 
Tian, H., Yang, Q., Najjar, R. G., Ren, W., Friedrichs, M. A. M., Hopkinson, C. S., Pan, S. 2015. Anthropogenic and climatic influences on carbon fluxes from eastern North America to the Atlantic Ocean: A process-based modeling study. Journal of Geophysical Research: Biogeosciences. 120(4), 757-772. doi: 10.1002/2014JG002760 ( 46 citations )   [quad chart]
Xue, Z., He, R., Fennel, K., Cai, W., Lohrenz, S., Huang, W., Tian, H., Ren, W., Zang, Z. 2016. Modeling pCO2 variability in the Gulf of Mexico. Biogeosciences. 13(15), 4359-4377. doi: 10.5194/bg-13-4359-2016 ( 12 citations )   [quad chart]
Yang, J., Tian, H., Tao, B., Ren, W., Pan, S., Liu, Y., Wang, Y. 2015. A growing importance of large fires in conterminous United States during 1984-2012. Journal of Geophysical Research: Biogeosciences. 120(12), 2625-2640. doi: 10.1002/2015JG002965 ( 15 citations ) 
Yang, Q., Tian, H., Li, X., Ren, W., Zhang, B., Zhang, X., Wolf, J. 2016. Spatiotemporal patterns of livestock manure nutrient production in the conterminous United States from 1930 to 2012. Science of The Total Environment. 541, 1592-1602. doi: 10.1016/j.scitotenv.2015.10.044 ( 30 citations ) 
Yu, Z., Lu, C., Cao, P., Tian, H. 2018. Long-term terrestrial carbon dynamics in the Midwestern United States during 1850-2015: Roles of land use and cover change and agricultural management. Global Change Biology. 24(6), 2673-2690. doi: 10.1111/gcb.14074 ( 12 citations ) 
Zhang, B., Tian, H., Lu, C., Chen, G., Pan, S., Anderson, C., Poulter, B. 2017. Methane emissions from global wetlands: An assessment of the uncertainty associated with various wetland extent data sets. Atmospheric Environment. 165, 310-321. doi: 10.1016/j.atmosenv.2017.07.001 ( 16 citations ) 
Zhang, C., Tian, H., Pan, S., Lockaby, G., Chappelka, A. 2014. Multi-factor controls on terrestrial carbon dynamics in urbanized areas. Biogeosciences. 11(24), 7107-7124. doi: 10.5194/bg-11-7107-2014 ( 17 citations ) 

Cai, W., Hu, X., Huang, W., Murrell, M. C., Lehrter, J. C., Lohrenz, S. E., Chou, W., Zhai, W., Hollibaugh, J. T., Wang, Y., Zhao, P., Guo, X., Gundersen, K., Dai, M., Gong, G. 2011. Acidification of subsurface coastal waters enhanced by eutrophication. Nature Geoscience. 4(11), 766-770. doi: 10.1038/ngeo1297 ( 537 citations ) 
Chakraborty, S., Lohrenz, S. E., Gundersen, K. 2017. Photophysiological and light absorption properties of phytoplankton communities in the river-dominated margin of the northern Gulf of Mexico. Journal of Geophysical Research: Oceans. 122(6), 4922-4938. doi: 10.1002/2016JC012092 ( 3 citations )   [quad chart]
Guo, X., Cai, W., Huang, W., Wang, Y., Chen, F., Murrell, M. C., Lohrenz, S. E., Jiang, L., Dai, M., Hartmann, J., Lin, Q., Culp, R. 2011. Carbon dynamics and community production in the Mississippi River plume. Limnology and Oceanography. 57(1), 1-17. doi: 10.4319/lo.2012.57.1.0001 ( 55 citations ) 
Huang, W., Cai, W., Powell, R. T., Lohrenz, S. E., Wang, Y., Jiang, L., Hopkinson, C. S. 2012. The stoichiometry of inorganic carbon and nutrient removal in \newline the Mississippi River plume and adjacent continental shelf. Biogeosciences. 9(7), 2781-2792. doi: 10.5194/bg-9-2781-2012 ( 18 citations ) 
Liu, M., Tian, H., Yang, Q., Yang, J., Song, X., Lohrenz, S. E., Cai, W. 2013. Long-term trends in evapotranspiration and runoff over the drainage basins of the Gulf of Mexico during 1901-2008. Water Resources Research. 49(4), 1988-2012. doi: 10.1002/wrcr.20180 ( 56 citations ) 
Lohrenz, S. E., Cai, W., Chakraborty, S., Huang, W., Guo, X., He, R., Xue, Z., Fennel, K., Howden, S., Tian, H. 2018. Satellite estimation of coastal p CO 2 and air-sea flux of carbon dioxide in the northern Gulf of Mexico. Remote Sensing of Environment. 207, 71-83. doi: 10.1016/j.rse.2017.12.039 ( 11 citations )   [quad chart]
Lu, C., Yu, Z., Tian, H., Hennessy, D., Feng, H., Al-Kaisi, M., Zhou, Y., Sauer, T., Arritt, R. 2018. Increasing carbon footprint of grain crop production in the U.S. Western Corn Belt. Environmental Research Letters. doi: 10.1088/1748-9326/aae9fe ( 5 citations ) 
Tian, H., Lu, C., Ciais, P., Michalak, A. M., Canadell, J. G., Saikawa, E., Huntzinger, D. N., Gurney, K. R., Sitch, S., Zhang, B., Yang, J., Bousquet, P., Bruhwiler, L., Chen, G., Dlugokencky, E., Friedlingstein, P., Melillo, J., Pan, S., Poulter, B., Prinn, R., Saunois, M., Schwalm, C. R., Wofsy, S. C. 2016. The terrestrial biosphere as a net source of greenhouse gases to the atmosphere. Nature. 531(7593), 225-228. doi: 10.1038/nature16946 ( 189 citations )   [quad chart]
Tian, H., Ren, W., Yang, J., Tao, B., Cai, W., Lohrenz, S. E., Hopkinson, C. S., Liu, M., Yang, Q., Lu, C., Zhang, B., Banger, K., Pan, S., He, R., Xue, Z. 2015. Climate extremes dominating seasonal and interannual variations in carbon export from the Mississippi River Basin. Global Biogeochemical Cycles. 29(9), 1333-1347. doi: 10.1002/2014GB005068 ( 21 citations ) 
Tian, H., Xu, R., Pan, S., Yao, Y., Bian, Z., Cai, W., Hopkinson, C. S., Justic, D., Lohrenz, S., Lu, C., Ren, W., Yang, J. 2020. Long-Term Trajectory of Nitrogen Loading and Delivery From Mississippi River Basin to the Gulf of Mexico. Global Biogeochemical Cycles. 34(5). doi: 10.1029/2019GB006475 ( 3 citations ) 
Tian, H., Yang, Q., Najjar, R. G., Ren, W., Friedrichs, M. A. M., Hopkinson, C. S., Pan, S. 2015. Anthropogenic and climatic influences on carbon fluxes from eastern North America to the Atlantic Ocean: A process-based modeling study. Journal of Geophysical Research: Biogeosciences. 120(4), 757-772. doi: 10.1002/2014JG002760 ( 46 citations )   [quad chart]
Yu, Z., Lu, C., Cao, P., Tian, H. 2018. Long-term terrestrial carbon dynamics in the Midwestern United States during 1850-2015: Roles of land use and cover change and agricultural management. Global Change Biology. 24(6), 2673-2690. doi: 10.1111/gcb.14074 ( 12 citations ) 

Hall, F. G., Hilker, T., Coops, N. C. 2012. Data assimilation of photosynthetic light-use efficiency using multi-angular satellite data: I. Model formulation. Remote Sensing of Environment. 121, 301-308. doi: 10.1016/j.rse.2012.02.007 ( 27 citations ) 
Hilker, T., Hall, F. G., Tucker, C. J., Coops, N. C., Black, T. A., Nichol, C. J., Sellers, P. J., Barr, A., Hollinger, D. Y., Munger, J. W. 2012. Data assimilation of photosynthetic light-use efficiency using multi-angular satellite data: II Model implementation and validation. Remote Sensing of Environment. 121, 287-300. doi: 10.1016/j.rse.2012.02.008 ( 31 citations ) 

Alden, C. B., Miller, J. B., Gatti, L. V., Gloor, M. M., Guan, K., Michalak, A. M., van der Laan-Luijkx, I. T., Touma, D., Andrews, A., Basso, L. S., Correia, C. S. C., Domingues, L. G., Joiner, J., Krol, M. C., Lyapustin, A. I., Peters, W., Shiga, Y. P., Thoning, K., van der Velde, I. R., van Leeuwen, T. T., Yadav, V., Diffenbaugh, N. S. 2016. Regional atmospheric CO2 inversion reveals seasonal and geographic differences in Amazon net biome exchange. Global Change Biology. 22(10), 3427-3443. DOI: 10.1111/gcb.13305 ( 26 citations ) 

Alonzo, M., Morton, D. C., Cook, B. D., Andersen, H., Babcock, C., Pattison, R. 2017. Patterns of canopy and surface layer consumption in a boreal forest fire from repeat airborne lidar. Environmental Research Letters. 12(6), 065004. doi: 10.1088/1748-9326/aa6ade ( 18 citations ) 
Babcock, C., Finley, A. O., Cook, B. D., Weiskittel, A., Woodall, C. W. 2016. Modeling forest biomass and growth: Coupling long-term inventory and LiDAR data. Remote Sensing of Environment. 182, 1-12. doi: 10.1016/j.rse.2016.04.014 ( 16 citations )   [quad chart]
Babcock, C., Matney, J., Finley, A. O., Weiskittel, A., Cook, B. D. 2013. Multivariate Spatial Regression Models for Predicting Individual Tree Structure Variables Using LiDAR Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6(1), 6-14. doi: 10.1109/JSTARS.2012.2215582 ( 15 citations ) 
Cahoon, S. M. P., Sullivan, P. F., Brownlee, A. H., Pattison, R. R., Andersen, H., Legner, K., Hollingsworth, T. N. 2018. Contrasting drivers and trends of coniferous and deciduous tree growth in interior Alaska. Ecology. 99(6), 1284-1295. doi: 10.1002/ecy.2223 ( 10 citations ) 
Datta, A., Banerjee, S., Finley, A. O., Gelfand, A. E. 2016. Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets. Journal of the American Statistical Association. 111(514), 800-812. doi: 10.1080/01621459.2015.1044091 ( 105 citations ) 
Datta, A., Banerjee, S., Finley, A. O., Gelfand, A. E. 2016. On nearest-neighbor Gaussian process models for massive spatial data. Wiley Interdisciplinary Reviews: Computational Statistics. 8(5), 162-171. doi: 10.1002/wics.1383 ( 12 citations ) 
Ene, L. T., Gobakken, T., Andersen, H., Naesset, E., Cook, B. D., Morton, D. C., Babcock, C., Nelson, R. 2018. Large-area hybrid estimation of aboveground biomass in interior Alaska using airborne laser scanning data. Remote Sensing of Environment. 204, 741-755. doi: 10.1016/j.rse.2017.09.027 ( 12 citations ) 
Finley, A. O., Banerjee, S., Cook, B. D., Bradford, J. B. 2013. Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets. International Journal of Applied Earth Observation and Geoinformation. 22, 147-160. doi: 10.1016/j.jag.2012.04.007 ( 16 citations ) 
Finley, A. O., Banerjee, S., Zhou, Y., Cook, B. D., Babcock, C. 2017. Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables. Remote Sensing of Environment. 190, 149-161. doi: 10.1016/j.rse.2016.12.004 ( 4 citations ) 
Guhaniyogi, R., Finley, A. O., Banerjee, S., Kobe, R. K. 2013. Modeling Complex Spatial Dependencies: Low-Rank Spatially Varying Cross-Covariances With Application to Soil Nutrient Data. Journal of Agricultural, Biological, and Environmental Statistics. 18(3), 274-298. doi: 10.1007/s13253-013-0140-3 ( 6 citations ) 
Heaton, M. J., Datta, A., Finley, A. O., Furrer, R., Guinness, J., Guhaniyogi, R., Gerber, F., Gramacy, R. B., Hammerling, D., Katzfuss, M., Lindgren, F., Nychka, D. W., Sun, F., Zammit-Mangion, A. 2018. A Case Study Competition Among Methods for Analyzing Large Spatial Data. Journal of Agricultural, Biological and Environmental Statistics. 24(3), 398-425. doi: 10.1007/s13253-018-00348-w ( 50 citations ) 
Junttila, V., Finley, A. O., Bradford, J. B., Kauranne, T. 2013. Strategies for minimizing sample size for use in airborne LiDAR-based forest inventory. Forest Ecology and Management. 292, 75-85. doi: 10.1016/j.foreco.2012.12.019 ( 22 citations ) 
Salazar, E., Hammerling, D., Wang, X., Sanso, B., Finley, A. O., Mearns, L. O. 2016. Observation-based blended projections from ensembles of regional climate models. Climatic Change. 138(1-2), 55-69. doi: 10.1007/s10584-016-1722-1 ( 5 citations ) 

Andela, N., Morton, D. C., Giglio, L., Chen, Y., van der Werf, G. R., Kasibhatla, P. S., DeFries, R. S., Collatz, G. J., Hantson, S., Kloster, S., Bachelet, D., Forrest, M., Lasslop, G., Li, F., Mangeon, S., Melton, J. R., Yue, C., Randerson, J. T. 2017. A human-driven decline in global burned area. Science. 356(6345), 1356-1362. doi: 10.1126/science.aal4108 ( 228 citations )   [quad chart]
Bustamante, M. M. C., Roitman, I., Aide, T. M., Alencar, A., Anderson, L. O., Aragao, L., Asner, G. P., Barlow, J., Berenguer, E., Chambers, J., Costa, M. H., Fanin, T., Ferreira, L. G., Ferreira, J., Keller, M., Magnusson, W. E., Morales-Barquero, L., Morton, D., Ometto, J. P. H. B., Palace, M., Peres, C. A., Silverio, D., Trumbore, S., Vieira, I. C. G. 2015. Toward an integrated monitoring framework to assess the effects of tropical forest degradation and recovery on carbon stocks and biodiversity. Global Change Biology. 22(1), 92-109. doi: 10.1111/gcb.13087 ( 94 citations ) 
Eitel, J. U., Hofle, B., Vierling, L. A., Abellan, A., Asner, G. P., Deems, J. S., Glennie, C. L., Joerg, P. C., LeWinter, A. L., Magney, T. S., Mandlburger, G., Morton, D. C., Muller, J., Vierling, K. T. 2016. Beyond 3-D: The new spectrum of lidar applications for earth and ecological sciences. Remote Sensing of Environment. 186, 372-392. doi: 10.1016/j.rse.2016.08.018 ( 112 citations ) 
Leitold, V., Morton, D. C., Longo, M., dos-Santos, M. N., Keller, M., Scaranello, M. 2018. El Nino drought increased canopy turnover in Amazon forests. New Phytologist. doi: 10.1111/nph.15110 ( 24 citations ) 
Longo, M., Keller, M., dos-Santos, M. N., Leitold, V., Pinage, E. R., Baccini, A., Saatchi, S., Nogueira, E. M., Batistella, M., Morton, D. C. 2016. Aboveground biomass variability across intact and degraded forests in the Brazilian Amazon. Global Biogeochemical Cycles. 30(11), 1639-1660. doi: 10.1002/2016GB005465 ( 41 citations )   [quad chart]
Morton, D. C. 2016. Forest carbon fluxes: A satellite perspective. Nature Climate Change. 6(4), 346-348. doi: 10.1038/nclimate2978 ( 7 citations ) 
Morton, D. C., Rubio, J., Cook, B. D., Gastellu-Etchegorry, J., Longo, M., Choi, H., Hunter, M., Keller, M. 2016. Amazon forest structure generates diurnal and seasonal variability in light utilization. Biogeosciences. 13(7), 2195-2206. doi: 10.5194/bg-13-2195-2016 ( 19 citations ) 
Noojipady, P., Morton, C. D., Macedo, N. M., Victoria, C. D., Huang, C., Gibbs, K. H., Bolfe, L. E. 2017. Forest carbon emissions from cropland expansion in the Brazilian Cerrado biome. Environmental Research Letters. 12(2), 025004. doi: 10.1088/1748-9326/aa5986 ( 41 citations ) 
Rangel Pinage, E., Keller, M., Duffy, P., Longo, M., dos-Santos, M., Morton, D. 2019. Long-Term Impacts of Selective Logging on Amazon Forest Dynamics from Multi-Temporal Airborne LiDAR. Remote Sensing. 11(6), 709. doi: 10.3390/rs11060709 ( 10 citations )   [quad chart]
Rappaport, D. I., Morton, D. C., Longo, M., Keller, M., Dubayah, R., dos-Santos, M. N. 2018. Quantifying long-term changes in carbon stocks and forest structure from Amazon forest degradation. Environmental Research Letters. 13(6), 065013. doi: 10.1088/1748-9326/aac331 ( 25 citations )   [quad chart]

Chen, J., Viatte, C., Hedelius, J. K., Jones, T., Franklin, J. E., Parker, H., Gottlieb, E. W., Wennberg, P. O., Dubey, M. K., Wofsy, S. C. 2016. Differential column measurements using compact solar-tracking spectrometers. Atmospheric Chemistry and Physics. 16(13), 8479-8498. doi: 10.5194/acp-16-8479-2016 ( 28 citations )   [quad chart]
Decina, S. M., Hutyra, L. R., Gately, C. K., Getson, J. M., Reinmann, A. B., Short Gianotti, A. G., Templer, P. H. 2016. Soil respiration contributes substantially to urban carbon fluxes in the greater Boston area. Environmental Pollution. 212, 433-439. doi: 10.1016/j.envpol.2016.01.012 ( 44 citations ) 
Gately, C. K., Hutyra, L. R., Sue Wing, I. 2015. Cities, traffic, and CO2: A multidecadal assessment of trends, drivers, and scaling relationships. Proceedings of the National Academy of Sciences. 112(16), 4999-5004. doi: 10.1073/pnas.1421723112 ( 51 citations ) 
Hardiman, B. S., Wang, J. A., Hutyra, L. R., Gately, C. K., Getson, J. M., Friedl, M. A. 2017. Accounting for urban biogenic fluxes in regional carbon budgets. Science of The Total Environment. 592, 366-372. doi: 10.1016/j.scitotenv.2017.03.028 ( 21 citations ) 
McKain, K., Down, A., Raciti, S. M., Budney, J., Hutyra, L. R., Floerchinger, C., Herndon, S. C., Nehrkorn, T., Zahniser, M. S., Jackson, R. B., Phillips, N., Wofsy, S. C. 2015. Methane emissions from natural gas infrastructure and use in the urban region of Boston, Massachusetts. Proceedings of the National Academy of Sciences. 112(7), 1941-1946. doi: 10.1073/pnas.1416261112 ( 140 citations ) 

Barrera, Y. D., Nehrkorn, T., Hegarty, J., Sargent, M., Benmergui, J., Gottlieb, E., Wofsy, S. C., DeCola, P., Hutyra, L., Jones, T. 2019. Using Lidar Technology To Assess Urban Air Pollution and Improve Estimates of Greenhouse Gas Emissions in Boston. Environmental Science & Technology. 53(15), 8957-8966. doi: 10.1021/acs.est.9b00650 ( 1 citations ) 
Barrera, Yanina Débora: Using Lidar Technology and the STILT Model to Assess Air Pollution and Improve Estimates of Greenhouse Gas Emissions in Cities, Ph.D. thesis, July, 2019, 102pp.
Decina, S. M., Templer, P. H., Hutyra, L. R. 2018. Atmospheric Inputs of Nitrogen, Carbon, and Phosphorus across an Urban Area: Unaccounted Fluxes and Canopy Influences. Earth's Future. 6(2), 134-148. doi: 10.1002/2017EF000653 ( 16 citations ) 
Floerchinger, Cody: Airborne methane flux quantification and source identification using high resolution measurements of ethane and methane, Ph.D. thesis, Harvard University, July, 2019, 161pp.
Gately, C. K., Hutyra, L. R. 2017. Large Uncertainties in Urban-Scale Carbon Emissions. Journal of Geophysical Research: Atmospheres. 122(20), 11,242-11,260. doi: 10.1002/2017JD027359 ( 28 citations ) 
Gately, C. K., Hutyra, L. R., Peterson, S., Sue Wing, I. 2017. Urban emissions hotspots: Quantifying vehicle congestion and air pollution using mobile phone GPS data. Environmental Pollution. 229, 496-504. doi: 10.1016/j.envpol.2017.05.091 ( 34 citations ) 
Hardiman, B. S., Wang, J. A., Hutyra, L. R., Gately, C. K., Getson, J. M., Friedl, M. A. 2017. Accounting for urban biogenic fluxes in regional carbon budgets. Science of The Total Environment. 592, 366-372. doi: 10.1016/j.scitotenv.2017.03.028 ( 21 citations ) 
Jones, Taylor: Advances in Environmental Measurement Systems: Remote Sensing of Urban Methane Emissions and Tree Sap Flow Quantification, Ph. D. Thesis, Harvard University, Sep. 2019.
Propp, Adrienne M., "MethaneSat: Detecting Methane Emissions from the Barnett Shale Region", Senior Thesis in Applied Mathematic, Harvard Paulson School of Engineering and Applied Science, 2017, 83pp.
Reinmann, A. B., Hutyra, L. R. 2017. Edge effects enhance carbon uptake and its vulnerability to climate change in temperate broadleaf forests. Proceedings of the National Academy of Sciences. 114(1), 107-112. doi: 10.1073/pnas.1612369114 ( 33 citations ) 
Sargent, M., Barrera, Y., Nehrkorn, T., Hutyra, L. R., Gately, C. K., Jones, T., McKain, K., Sweeney, C., Hegarty, J., Hardiman, B., Wofsy, S. C. 2018. Anthropogenic and biogenic CO2fluxes in the Boston urban region. Proceedings of the National Academy of Sciences. 115(29), 7491-7496. doi: 10.1073/pnas.1803715115 ( 33 citations )   [quad chart]
Viatte, C., Lauvaux, T., Hedelius, J. K., Parker, H., Chen, J., Jones, T., Franklin, J. E., Deng, A. J., Gaudet, B., Verhulst, K., Duren, R., Wunch, D., Roehl, C., Dubey, M. K., Wofsy, S., Wennberg, P. O. 2017. Methane emissions from dairies in the Los Angeles Basin. Atmospheric Chemistry and Physics. 17(12), 7509-7528. doi: 10.5194/acp-17-7509-2017 ( 20 citations ) 

Arevalo, P., Olofsson, P., Woodcock, C. E. 2019. Continuous monitoring of land change activities and post-disturbance dynamics from Landsat time series: A test methodology for REDD+ reporting. Remote Sensing of Environment. doi: 10.1016/j.rse.2019.01.013 ( 18 citations )   [quad chart]
Bullock, E. L., Woodcock, C. E., Souza, C., Olofsson, P. 2020. Satellite-based estimates reveal widespread forest degradation in the Amazon. Global Change Biology. doi: 10.1111/gcb.15029 ( 10 citations )   [quad chart]
Olofsson, P., Arevalo, P., Espejo, A. B., Green, C., Lindquist, E., McRoberts, R. E., Sanz, M. J. 2020. Mitigating the effects of omission errors on area and area change estimates. Remote Sensing of Environment. 236, 111492. doi: 10.1016/j.rse.2019.111492 ( 7 citations )   [quad chart]
Tang, X., Hutyra, L. R., Arevalo, P., Baccini, A., Woodcock, C. E., Olofsson, P. 2020. Spatiotemporal tracking of carbon emissions and uptake using time series analysis of Landsat data: A spatially explicit carbon bookkeeping model. Science of The Total Environment. 720, 137409. doi: 10.1016/j.scitotenv.2020.137409  [quad chart]

Gregg, W. W., Casey, N. W., Rousseaux, C. S. 2014. Sensitivity of simulated global ocean carbon flux estimates to forcing by reanalysis products. Ocean Modelling. 80, 24-35. doi: 10.1016/j.ocemod.2014.05.002 ( 2 citations ) 
Gregg, W. W., N. W. Casey, and C. S. Rousseaux, Global surface ocean carbon estimates in a model forced by MERRA, NASA Technical Report Series on Global Modeling and Data Assimilation, NASA TM-2013-104606, Vol. 31, 39 pp, 2013.
Oda, T., Maksyutov, S. 2011. A very high-resolution (1 kmx1 km) global fossil fuel CO2 emission inventory derived using a point source database and satellite observations of nighttime lights. Atmospheric Chemistry and Physics. 11(2), 543-556. doi: 10.5194/acp-11-543-2011 ( 230 citations ) 
Ott, L. E., Pawson, S., Collatz, G. J., Gregg, W. W., Menemenlis, D., Brix, H., Rousseaux, C. S., Bowman, K. W., Liu, J., Eldering, A., Gunson, M. R., Kawa, S. R. 2015. Assessing the magnitude of CO 2 flux uncertainty in atmospheric CO 2 records using products from NASA's Carbon Monitoring Flux Pilot Project. Journal of Geophysical Research: Atmospheres. 120(2), 734-765. doi: 10.1002/2014JD022411 ( 18 citations ) 
Wang, J. S., Kawa, S. R., Collatz, G. J., Sasakawa, M., Gatti, L. V., Machida, T., Liu, Y., Manyin, M. E. 2018. A global synthesis inversion analysis of recent variability in CO2 fluxes using GOSAT and in situ observations. Atmospheric Chemistry and Physics. 18(15), 11097-11124. doi: 10.5194/acp-18-11097-2018 ( 12 citations ) 

Fu, Z., Stoy, P. C., Poulter, B., Gerken, T., Zhang, Z., Wakbulcho, G., Niu, S. 2019. Maximum carbon uptake rate dominates the interannual variability of global net ecosystem exchange. Global Change Biology. doi: 10.1111/gcb.14731 ( 12 citations ) 

Gregg, W. W., Casey, N. W., Rousseaux, C. S. 2014. Sensitivity of simulated global ocean carbon flux estimates to forcing by reanalysis products. Ocean Modelling. 80, 24-35. doi: 10.1016/j.ocemod.2014.05.002 ( 2 citations ) 
Gregg, W. W., N. W. Casey, and C. S. Rousseaux, 2013, Global surface ocean carbon estimates in a model forced by MERRA, NASA Technical Report Series on Global Modeling and Data Assimilation, NASA TM-2013-104606, Vol. 31, 39 pp.
Oda, T., Maksyutov, S. 2011. A very high-resolution (1 kmx1 km) global fossil fuel CO2 emission inventory derived using a point source database and satellite observations of nighttime lights. Atmospheric Chemistry and Physics. 11(2), 543-556. doi: 10.5194/acp-11-543-2011 ( 230 citations ) 
Ott, L. E., Pawson, S., Collatz, G. J., Gregg, W. W., Menemenlis, D., Brix, H., Rousseaux, C. S., Bowman, K. W., Liu, J., Eldering, A., Gunson, M. R., Kawa, S. R. 2015. Assessing the magnitude of CO 2 flux uncertainty in atmospheric CO 2 records using products from NASA's Carbon Monitoring Flux Pilot Project. Journal of Geophysical Research: Atmospheres. 120(2), 734-765. doi: 10.1002/2014JD022411 ( 18 citations ) 

Brown, M. E., Cooper, M. W., Griffith, P. C. 2020. NASA's Carbon Monitoring System and Arctic-Boreal Vulnerability Experiment (ABoVE) social network and community of practice. Environmental Research Letters. doi: 10.1088/1748-9326/aba300  [quad chart]
McDowell, N. G., Allen, C. D., Anderson-Teixeira, K., Aukema, B. H., Bond-Lamberty, B., Chini, L., Clark, J. S., Dietze, M., Grossiord, C., Hanbury-Brown, A., Hurtt, G. C., Jackson, R. B., Johnson, D. J., Kueppers, L., Lichstein, J. W., Ogle, K., Poulter, B., Pugh, T. A. M., Seidl, R., Turner, M. G., Uriarte, M., Walker, A. P., Xu, C. 2020. Pervasive shifts in forest dynamics in a changing world. Science. 368(6494), eaaz9463. doi: 10.1126/science.aaz9463 ( 13 citations )   [quad chart]

Andela, N., Morton, D. C., Giglio, L., Paugam, R., Chen, Y., Hantson, S., van der Werf, G. R., Randerson, J. T. 2019. The Global Fire Atlas of individual fire size, duration, speed and direction. Earth System Science Data. 11(2), 529-552. doi: 10.5194/essd-11-529-2019 ( 39 citations )   [quad chart]
Chen, Y., Langenbrunner, B., Randerson, J. T. 2018. Future Drying in Central America and Northern South America Linked With Atlantic Meridional Overturning Circulation. Geophysical Research Letters. 45(17), 9226-9235. doi: 10.1029/2018GL077953 ( 3 citations ) 
Chen, Y., Morton, D. C., Andela, N., van der Werf, G. R., Giglio, L., Randerson, J. T. 2017. A pan-tropical cascade of fire driven by El Nino/Southern Oscillation. Nature Climate Change. 7(12), 906-911. doi: 10.1038/s41558-017-0014-8 ( 40 citations ) 
Coffield, S. R., Graff, C. A., Chen, Y., Smyth, P., Foufoula-Georgiou, E., Randerson, J. T. 2019. Machine learning to predict final fire size at the time of ignition. International Journal of Wildland Fire. doi: 10.1071/WF19023 ( 2 citations ) 
Langenbrunner, B., Pritchard, M. S., Kooperman, G. J., Randerson, J. T. 2019. Why Does Amazon Precipitation Decrease When Tropical Forests Respond to Increasing CO2? Earth's Future. 7(4), 450-468. doi: 10.1029/2018EF001026 ( 11 citations ) 
Levine, P. A., Randerson, J. T., Chen, Y., Pritchard, M. S., Xu, M., Hoffman, F. M. 2019. Soil Moisture Variability Intensifies and Prolongs Eastern Amazon Temperature and Carbon Cycle Response to El Nino-Southern Oscillation. Journal of Climate. 32(4), 1273-1292. doi: 10.1175/JCLI-D-18-0150.1 ( 4 citations ) 
Wiggins, E. B., Czimczik, C. I., Santos, G. M., Chen, Y., Xu, X., Holden, S. R., Randerson, J. T., Harvey, C. F., Kai, F. M., Yu, L. E. 2018. Smoke radiocarbon measurements from Indonesian fires provide evidence for burning of millennia-aged peat. Proceedings of the National Academy of Sciences. 115(49), 12419-12424. doi: 10.1073/pnas.1806003115 ( 17 citations ) 
Woodard, D. L., Davis, S. J., Randerson, J. T. 2018. Economic carbon cycle feedbacks may offset additional warming from natural feedbacks. Proceedings of the National Academy of Sciences. 116(3), 759-764. doi: 10.1073/pnas.1805187115 ( 15 citations ) 

Babcock, C., Matney, J., Finley, A. O., Weiskittel, A., Cook, B. D. 2013. Multivariate Spatial Regression Models for Predicting Individual Tree Structure Variables Using LiDAR Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6(1), 6-14. doi: 10.1109/JSTARS.2012.2215582 ( 15 citations ) 
Finley, A. O., Banerjee, S., Cook, B. D., Bradford, J. B. 2013. Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets. International Journal of Applied Earth Observation and Geoinformation. 22, 147-160. doi: 10.1016/j.jag.2012.04.007 ( 16 citations ) 
Guhaniyogi, R., Finley, A. O., Banerjee, S., Kobe, R. K. 2013. Modeling Complex Spatial Dependencies: Low-Rank Spatially Varying Cross-Covariances With Application to Soil Nutrient Data. Journal of Agricultural, Biological, and Environmental Statistics. 18(3), 274-298. doi: 10.1007/s13253-013-0140-3 ( 6 citations ) 
Junttila, V., Finley, A. O., Bradford, J. B., Kauranne, T. 2013. Strategies for minimizing sample size for use in airborne LiDAR-based forest inventory. Forest Ecology and Management. 292, 75-85. doi: 10.1016/j.foreco.2012.12.019 ( 22 citations ) 
Zhang, G., Ganguly, S., Nemani, R. R., White, M. A., Milesi, C., Hashimoto, H., Wang, W., Saatchi, S., Yu, Y., Myneni, R. B. 2014. Estimation of forest aboveground biomass in California using canopy height and leaf area index estimated from satellite data. Remote Sensing of Environment. 151, 44-56. doi: 10.1016/j.rse.2014.01.025 ( 65 citations ) 

Sedano, F., Lisboa, S. N., Duncanson, L. I., Ribeiro, N., Sitoe, A., Sahajpal, R., Hurtt, G., Tucker, C. 2019. Monitoring forest degradation from charcoal production with historical Landsat imagery. A case study in southern Mozambique. Environmental Research Letters. doi: 10.1088/1748-9326/ab3186

Fahnenstiel, G. L., Sayers, M. J., Shuchman, R. A., Yousef, F., Pothoven, S. A. 2016. Lake-wide phytoplankton production and abundance in the Upper Great Lakes: 2010-2013. Journal of Great Lakes Research. 42(3), 619-629. doi: 10.1016/j.jglr.2016.02.004 ( 18 citations ) 
Yousef, F., Charles Kerfoot, W., Shuchman, R., Fahnenstiel, G. 2014. Bio-optical properties and primary production of Lake Michigan: Insights from 13-years of SeaWiFS imagery. Journal of Great Lakes Research. 40(2), 317-324. doi: 10.1016/j.jglr.2014.02.018 ( 21 citations ) 

Boschetti, L., Stehman, S. V., Roy, D. P. 2016. A stratified random sampling design in space and time for regional to global scale burned area product validation. Remote Sensing of Environment. 186, 465-478. doi: 10.1016/j.rse.2016.09.016 ( 39 citations ) 
Cohen, W. B., Yang, Z., Stehman, S. V., Schroeder, T. A., Bell, D. M., Masek, J. G., Huang, C., Meigs, G. W. 2016. Forest disturbance across the conterminous United States from 1985-2012: The emerging dominance of forest decline. Forest Ecology and Management. 360, 242-252. doi: 10.1016/j.foreco.2015.10.042 ( 121 citations ) 
Olofsson, P., Foody, G. M., Herold, M., Stehman, S. V., Woodcock, C. E., Wulder, M. A. 2014. Good practices for estimating area and assessing accuracy of land change. Remote Sensing of Environment. 148, 42-57. doi: 10.1016/j.rse.2014.02.015 ( 776 citations ) 
Potapov, P. V., Dempewolf, J., Talero, Y., Hansen, M. C., Stehman, S. V., Vargas, C., Rojas, E. J., Castillo, D., Mendoza, E., Calderon, A., Giudice, R., Malaga, N., Zutta, B. R. 2014. National satellite-based humid tropical forest change assessment in Peru in support of REDD+ implementation. Environmental Research Letters. 9(12), 124012. doi: 10.1088/1748-9326/9/12/124012 ( 54 citations ) 
Stehman, S. V., Fonte, C. C., Foody, G. M., See, L. 2018. Using volunteered geographic information (VGI) in design-based statistical inference for area estimation and accuracy assessment of land cover. Remote Sensing of Environment. 212, 47-59. doi: 10.1016/j.rse.2018.04.014 ( 15 citations ) 
Stehman, S. V., Foody, G. M. 2019. Key issues in rigorous accuracy assessment of land cover products. Remote Sensing of Environment. 231, 111199. doi: 10.1016/j.rse.2019.05.018 ( 41 citations ) 
Tyukavina, A., Baccini, A., Hansen, M. C., Potapov, P. V., Stehman, S. V., Houghton, R. A., Krylov, A. M., Turubanova, S., Goetz, S. J. 2015. Aboveground carbon loss in natural and managed tropical forests from 2000 to 2012. Environmental Research Letters. 10(7), 074002. doi: 10.1088/1748-9326/10/7/074002 ( 91 citations ) 
Wagner, J. E., Stehman, S. V. 2015. Optimizing sample size allocation to strata for estimating area and map accuracy. Remote Sensing of Environment. 168, 126-133. doi: 10.1016/j.rse.2015.06.027 ( 5 citations ) 

Treuhaft R, Gonçalves FG, Chapman B, Neumann M, dos Santos JR, Graça PMLA. (2013) Relationships Between Remotely Sensed Forest Structure and Biomass: Fourier Structure From Lidar and InSAR and Penetration at Microwave Frequencies, Revista Brasileira de Cartografia 65(4), 747-755, ISSN: 1808-0936
Treuhaft, R., Gonzalves, F., dos Santos, J. R., Keller, M., Palace, M., Madsen, S. N., Sullivan, F., Graca, P. M. L. A. 2015. Tropical-Forest Biomass Estimation at X-Band From the Spaceborne TanDEM-X Interferometer. IEEE Geoscience and Remote Sensing Letters. 12(2), 239-243. doi: 10.1109/LGRS.2014.2334140 ( 53 citations ) 
Treuhaft, R., Lei, Y., Goncalves, F., Keller, M., Santos, J., Neumann, M., Almeida, A. 2017. Tropical-Forest Structure and Biomass Dynamics from TanDEM-X Radar Interferometry. Forests. 8(8), 277. doi: 10.3390/f8080277 ( 17 citations ) 

Banwart, S., Black, H., Cai, Z., Gicheru, P., Joosten, H., Victoria, R., Milne, E., Noellemeyer, E., Pascual, U., Nziguheba, G., Vargas, R., Bationo, A., Buschiazzo, D., de-Brogniez, D., Melillo, J., Richter, D., Termansen, M., van Noordwijk, M., Goverse, T., Ballabio, C., Bhattacharyya, T., Goldhaber, M., Nikolaidis, N., Zhao, Y., Funk, R., Duffy, C., Pan, G., la Scala, N., Gottschalk, P., Batjes, N., Six, J., van Wesemael, B., Stocking, M., Bampa, F., Bernoux, M., Feller, C., Lemanceau, P., Montanarella, L. 2014. Benefits of soil carbon: report on the outcomes of an international scientific committee on problems of the environment rapid assessment workshop. Carbon Management. 5(2), 185-192. doi: 10.1080/17583004.2014.913380 ( 31 citations ) 
Barba, J., Cueva, A., Bahn, M., Barron-Gafford, G. A., Bond-Lamberty, B., Hanson, P. J., Jaimes, A., Kulmala, L., Pumpanen, J., Scott, R. L., Wohlfahrt, G., Vargas, R. 2018. Comparing ecosystem and soil respiration: Review and key challenges of tower-based and soil measurements. Agricultural and Forest Meteorology. 249, 434-443. doi: 10.1016/j.agrformet.2017.10.028 ( 34 citations ) 
Biederman, J. A., Scott, R. L., Bell, T. W., Bowling, D. R., Dore, S., Garatuza-Payan, J., Kolb, T. E., Krishnan, P., Krofcheck, D. J., Litvak, M. E., Maurer, G. E., Meyers, T. P., Oechel, W. C., Papuga, S. A., Ponce-Campos, G. E., Rodriguez, J. C., Smith, W. K., Vargas, R., Watts, C. J., Yepez, E. A., Goulden, M. L. 2017. CO2 exchange and evapotranspiration across dryland ecosystems of southwestern North America. Global Change Biology. 23(10), 4204-4221. DOI: 10.1111/gcb.13686 ( 60 citations ) 
Biederman, J. A., Scott, R. L., Goulden, M. L., Vargas, R., Litvak, M. E., Kolb, T. E., Yepez, E. A., Oechel, W. C., Blanken, P. D., Bell, T. W., Garatuza-Payan, J., Maurer, G. E., Dore, S., Burns, S. P. 2016. Terrestrial carbon balance in a drier world: the effects of water availability in southwestern North America. Global Change Biology. 22(5), 1867-1879. doi: 10.1111/gcb.13222 ( 78 citations ) 
Birdsey, R., Angeles-Perez, G., Kurz, W. A., Lister, A., Olguin, M., Pan, Y., Wayson, C., Wilson, B., Johnson, K. 2014. Approaches to monitoring changes in carbon stocks for REDD+. Carbon Management. 4(5), 519-537. doi: 10.4155/cmt.13.49 ( 37 citations ) 
Castro, A., Martinez-Osuna, J. F., Michel, R., Escoto-Rodriguez, M., Bullock, S. H., Cueva, A., Lopez-Reyes, E., Reimer, J., Salazar, M., Villarreal, S., Vargas, R. 2017. A low-cost modular data-acquisition system for monitoring biometeorological variables. Computers and Electronics in Agriculture. 141, 357-371. doi: 10.1016/j.compag.2017.08.010 ( 1 citations ) 
Cueva, A., Bahn, M., Litvak, M., Pumpanen, J., Vargas, R. 2015. A multisite analysis of temporal random errors in soil CO 2 efflux. Journal of Geophysical Research: Biogeosciences. 120(4), 737-751. doi: 10.1002/2014JG002690 ( 10 citations ) 
Cueva, A., Bullock, S. H., Lopez-Reyes, E., Vargas, R. 2017. Potential bias of daily soil CO2 efflux estimates due to sampling time. Scientific Reports. 7(1). doi: 10.1038/s41598-017-11849-y ( 11 citations ) 
Dai, Z., Birdsey, R. A., Johnson, K. D., Dupuy, J. M., Hernandez-Stefanoni, J. L., Richardson, K. 2014. Modeling Carbon Stocks in a Secondary Tropical Dry Forest in the Yucatan Peninsula, Mexico. Water, Air, & Soil Pollution. 225(4). doi: 10.1007/s11270-014-1925-x ( 16 citations ) 
FAO, and ITPS. 2015. Status of the World’s Soil Resources (SWSR) – Main Report. Food and Agriculture Organization of the United Nations and Intergovernmental Technical Panel on Soils, Rome, Italy. ISBN: 978-92-5-109004-6 http://www.fao.org/documents/card/en/c/c6814873-efc3-41db-b7d3-2081a10ede50/
Hengl, T., Mendes de Jesus, J., Heuvelink, G. B. M., Ruiperez Gonzalez, M., Kilibarda, M., Blagotic, A., Shangguan, W., Wright, M. N., Geng, X., Bauer-Marschallinger, B., Guevara, M. A., Vargas, R., MacMillan, R. A., Batjes, N. H., Leenaars, J. G. B., Ribeiro, E., Wheeler, I., Mantel, S., Kempen, B. 2017. SoilGrids250m: Global gridded soil information based on machine learning. PLOS ONE. 12(2), e0169748. doi: 10.1371/journal.pone.0169748 ( 660 citations ) 
King, A. W., Andres, R. J., Davis, K. J., Hafer, M., Hayes, D. J., Huntzinger, D. N., de Jong, B., Kurz, W. A., McGuire, A. D., Vargas, R., Wei, Y., West, T. O., Woodall, C. W. 2015. North America's net terrestrial CO2 exchange with the atmosphere 1990-2009. Biogeosciences. 12(2), 399-414. doi: 10.5194/bg-12-399-2015 ( 37 citations ) 
Leon, E., Vargas, R., Bullock, S., Lopez, E., Panosso, A. R., La Scala, N. 2014. Hot spots, hot moments, and spatio-temporal controls on soil CO2 efflux in a water-limited ecosystem. Soil Biology and Biochemistry. 77, 12-21. doi: 10.1016/j.soilbio.2014.05.029 ( 58 citations ) 
Milne, E., Banwart, S. A., Noellemeyer, E., Abson, D. J., Ballabio, C., Bampa, F., Bationo, A., Batjes, N. H., Bernoux, M., Bhattacharyya, T., Black, H., Buschiazzo, D. E., Cai, Z., Cerri, C. E., Cheng, K., Compagnone, C., Conant, R., Coutinho, H. L., de Brogniez, D., Balieiro, F. D. C., Duffy, C., Feller, C., Fidalgo, E. C., da Silva, C. F., Funk, R., Gaudig, G., Gicheru, P. T., Goldhaber, M., Gottschalk, P., Goulet, F., Goverse, T., Grathwohl, P., Joosten, H., Kamoni, P. T., Kihara, J., Krawczynski, R., La Scala, N., Lemanceau, P., Li, L., Li, Z., Lugato, E., Maron, P., Martius, C., Melillo, J., Montanarella, L., Nikolaidis, N., Nziguheba, G., Pan, G., Pascual, U., Paustian, K., Pineiro, G., Powlson, D., Quiroga, A., Richter, D., Sigwalt, A., Six, J., Smith, J., Smith, P., Stocking, M., Tanneberger, F., Termansen, M., van Noordwijk, M., van Wesemael, B., Vargas, R., Victoria, R. L., Waswa, B., Werner, D., Wichmann, S., Wichtmann, W., Zhang, X., Zhao, Y., Zheng, J., Zheng, J. 2015. Soil carbon, multiple benefits. Environmental Development. 13, 33-38. doi: 10.1016/j.envdev.2014.11.005 ( 32 citations ) 
Paz, F., and J. Wong, editors. 2015. Estado Actual del Conocimiento del Ciclo del Carbono y sus Interacciones en México: Síntesis a 2014. Serie Síntesis Nacionales., Texcoco, Estado de Mexico, Mexico. ISBN: 978-607-96490-2-9. http://pmcarbono.org/pmc/publicaciones/Libro_Merida_2014_PMC_ISBN-web.pdf
Paz, F., J. Wong, and R. Torres, editors. 2015. Estado Actual del Conocimiento del Ciclo del Carbono y sus Interacciones en México: Síntesis a 2015. Serie Síntesis Nacionales, Texcoco, Estado de México, México. ISBN: 978-607-96490-3-6 http://pmcarbono.org/pmc/publicaciones/sintesisn.php
Programa de Investigación en Cambio Climático (PICC) (2015) Reporte Mexicano de Cambio Climático. Grupo I: Bases Científicas, Modelos y Modelación. (Mexican Report on Climate Change. Group I: Scientific Bases, Models and Modeling). Contributing author for the 7th chapter entitled “Ciclos Biogeoquímicos” (Biogeochemical cycles). ISBN: 978-607-02-7522-7. http://www.pincc.unam.mx/libro_reportemex/RMCC_vol1.pdf
Reimer, J. J., Cueva, A., Gaxiola-Castro, G., Lara-Lara, R., Vargas, R. 2016. Random error analysis of marine xCO2 measurements in a coastal upwelling region. Progress in Oceanography. 143, 1-12. doi: 10.1016/j.pocean.2016.02.003
Reimer, J. J., Vargas, R., Rivas, D., Gaxiola-Castro, G., Hernandez-Ayon, J. M., Lara-Lara, R. 2015. Sea Surface Temperature Influence on Terrestrial Gross Primary Production along the Southern California Current. PLOS ONE. 10(4), e0125177. doi: 10.1371/journal.pone.0125177 ( 6 citations ) 
Rodriguez-Robles, U., Arredondo, J. T., Huber-Sannwald, E., Vargas, R. 2015. Geoecohydrological mechanisms couple soil and leaf water dynamics and facilitate species coexistence in shallow soils of a tropical semiarid mixed forest. New Phytologist. 207(1), 59-69. doi: 10.1111/nph.13344 ( 8 citations ) 
Soriano-Luna, M., Angeles-Perez, G., Guevara, M., Birdsey, R., Pan, Y., Vaquera-Huerta, H., Valdez-Lazalde, J., Johnson, K., Vargas, R. 2018. Determinants of Above-Ground Biomass and Its Spatial Variability in a Temperate Forest Managed for Timber Production. Forests. 9(8), 490. doi: 10.3390/f9080490 ( 4 citations ) 
Vargas R, Yépez EA, Andrade JL, Angeles G, Arredondo T, Castellanos AE, Delgado-Balbuena J, Garatuza-Payan J, González del Castillo E, Oechel W, Rodriguez JC, Sánchez-Azofeifa A, Velasco E, Vivoni ER, Watts C (2013) Progress and challenges for measurements of water and greenhouse gas fluxes in Mexican ecosystems: MexFlux. Atmosfera. 26(3):325-336
Vargas, R., Alcaraz-Segura, D., Birdsey, R., Brunsell, N. A., Cruz-Gaistardo, C. O., de Jong, B., Etchevers, J., Guevara, M., Hayes, D. J., Johnson, K., Loescher, H. W., Paz, F., Ryu, Y., Sanchez-Mejia, Z., Toledo-Gutierrez, K. P. 2017. Enhancing interoperability to facilitate implementation of REDD+: case study of Mexico. Carbon Management. 8(1), 57-65. doi: 10.1080/17583004.2017.1285177 ( 12 citations ) 
Vargas, R., Alin, S., Shrestha, G. 2015. Integrating Carbon Cycle Research into Decision-Making Processes. Eos. 96. doi: 10.1029/2015EO037893
Vargas, R., Paz, F., de Jong, B. 2014. Quantification of forest degradation and belowground carbon dynamics: ongoing challenges for monitoring, reporting and verification activities for REDD+. Carbon Management. 4(6), 579-582. doi: 10.4155/cmt.13.63 ( 8 citations ) 
Villarreal, S., Vargas, R., Yepez, E. A., Acosta, J. S., Castro, A., Escoto-Rodriguez, M., Lopez, E., Martinez-Osuna, J., Rodriguez, J. C., Smith, S. V., Vivoni, E. R., Watts, C. J. 2016. Contrasting precipitation seasonality influences evapotranspiration dynamics in water-limited shrublands. Journal of Geophysical Research: Biogeosciences. 121(2), 494-508. doi: 10.1002/2015JG003169 ( 10 citations ) 

Barba, J., Cueva, A., Bahn, M., Barron-Gafford, G. A., Bond-Lamberty, B., Hanson, P. J., Jaimes, A., Kulmala, L., Pumpanen, J., Scott, R. L., Wohlfahrt, G., Vargas, R. 2018. Comparing ecosystem and soil respiration: Review and key challenges of tower-based and soil measurements. Agricultural and Forest Meteorology. 249, 434-443. doi: 10.1016/j.agrformet.2017.10.028 ( 34 citations ) 
Basu, S., Mukhopadhyay, S., Karki, M., DiBiano, R., Ganguly, S., Nemani, R., Gayaka, S. 2018. Deep neural networks for texture classification--A theoretical analysis. Neural Networks. 97, 173-182. doi: 10.1016/j.neunet.2017.10.001 ( 33 citations ) 
Bond-Lamberty, B., Bailey, V. L., Chen, M., Gough, C. M., Vargas, R. 2018. Globally rising soil heterotrophic respiration over recent decades. Nature. 560(7716), 80-83. doi: 10.1038/s41586-018-0358-x ( 101 citations ) 
Delgado-Balbuena J, Yépez EA, Paz-Pellat F, Ángeles-Pérez G, Aguirre-Gutiérrez C, Alvarado-Barrientos MS, Arredondo T, Ayala-Niño F, Bullock S, Castellanos AE, Cueva A, Figueroa-Espinoza B, Garatuza- Payán J, González-del Castillo E, González-Sosa E, Guevara-Escobar A, Hinojo-Hinojo C, Kyaw-Tha PU, Lizárraga-Celaya C, Maya-Delgado Y, Oechel W, Pérez-Ruiz ER, Quesada-Avendaño M, Robles-Zazueta CA, Rodríguez JC, Rojas-Robles NE, Tarin-Terrazas T, Troyo-Diéguez E, Uuh-Sonda J, Vargas-Terminel ML, Vargas R, Vega-Puga MG, Verduzco VS, Vivoni ER, Watts CJ (2019) Database of vertical carbon dioxide fluxes at terrestrial and coastal ecosystems in Mexico. Elementos para Politicas Publicas. 2(2)93-108. http://www.elementospolipub.org/ojs/index.php/epp/article/view/41/49
Delgado-Balbuena, J., Arredondo, J. T., Loescher, H. W., Pineda-Martinez, L. F., Carbajal, J. N., Vargas, R. 2019. Seasonal Precipitation Legacy Effects Determine the Carbon Balance of a Semiarid Grassland. Journal of Geophysical Research: Biogeosciences. 124(4), 987-1000. doi: 10.1029/2018JG004799 ( 1 citations ) 
Ganguly S, Basu S, Nemani R, Mukhopadhyay S, Michaelis A, Votava P, Milesi C, Kumar U (2018) Deep Learning for Very High-Resolution Imagery Classification, Large-Scale Machine Learning in the Earth Sciences, Chapter 7, in Large-Scale Machine Learning in the Earth Sciences. Srivastava, A.N., Nemani, R. and Steinhaeuser, K. eds., CRC Press. ISBN: 9781498703888.
Guevara, M., Arroyo, C., Brunsell, N., Cruz, C. O., Domke, G., Equihua, J., Etchevers, J., Hayes, D., Hengl, T., Ibelles, A., Johnson, K., Jong, B., Libohova, Z., Llamas, R., Nave, L., Ornelas, J. L., Paz, F., Ressl, R., Schwartz, A., Victoria, A., Wills, S., Vargas, R. 2020. Soil Organic Carbon Across Mexico and the Conterminous United States (1991-2010). Global Biogeochemical Cycles. 34(3). doi: 10.1029/2019GB006219 ( 1 citations ) 
Guevara, M., Olmedo, G. F., Stell, E., Yigini, Y., Aguilar Duarte, Y., Arellano Hernandez, C., Arevalo, G. E., Arroyo-Cruz, C. E., Bolivar, A., Bunning, S., Bustamante Canas, N., Cruz-Gaistardo, C. O., Davila, F., Dell Acqua, M., Encina, A., Figueredo Tacona, H., Fontes, F., Hernandez Herrera, J. A., Ibelles Navarro, A. R., Loayza, V., Manueles, A. M., Mendoza Jara, F., Olivera, C., Osorio Hermosilla, R., Pereira, G., Prieto, P., Ramos, I. A., Rey Brina, J. C., Rivera, R., Rodriguez-Rodriguez, J., Roopnarine, R., Rosales Ibarra, A., Rosales Riveiro, K. A., Schulz, G. A., Spence, A., Vasques, G. M., Vargas, R. R., Vargas, R. 2018. No silver bullet for digital soil mapping: country-specific soil organic carbon estimates across Latin America. SOIL. 4(3), 173-193. doi: 10.5194/soil-4-173-2018 ( 16 citations ) 
Harden J, Hugelius G, Ahlström A, Blankinship J, Bond-Lamberty B, Lawrence C, Loisel J, Malhotra A, Jackson R, Ogle S, Phillips C, Ryals R, Todd-Brown K, Vargas R, Vergara S, Cotrufo F, Keiluweit M, Heckman K, Crow S, Silver W, DeLonge M, Nave L (2018) Networking our science to characterize the state, vulnerabilities, and management opportunities of soil organic matter. Global Change Biology. 24:e705-e718 doi: 10.1111/gcb.13896 ( 33 citations ) 
Hashimoto, H., Wang, W., Melton, F. S., Moreno, A. L., Ganguly, S., Michaelis, A. R., Nemani, R. R. 2019. High-resolution mapping of daily climate variables by aggregating multiple spatial data sets with the random forest algorithm over the conterminous United States. International Journal of Climatology. 39(6), 2964-2983. doi: 10.1002/joc.5995 ( 5 citations ) 
Hayes, D. J., Vargas, R., Alin, S., Conant, R. T., Hutyra, L. R., Jacobson, A. R., Kurz, W. A., Liu, S., McGuire, A. D., Poulter, B., Woodall, C. W. 2018. Chapter 2: The North American Carbon Budget. Second State of the Carbon Cycle Report doi: 10.7930/SOCCR2.2018.Ch2 ( 1 citations ) 
Hemming DL, Garforth J, Park T, Richardson AD, Sparks TH, Thackeray SJ, Myneni R. (2020) Phenology of primary producers [in “State of the Climate in 2019"]. Bulletin of the American Meteorological Society. doi: 10.1175/2020BAMSStateoftheClimate.1
Hinojo-Hinojo, C., Castellanos, A. E., Huxman, T., Rodriguez, J. C., Vargas, R., Romo-Leon, J. R., Biederman, J. A. 2019. Native shrubland and managed buffelgrass savanna in drylands: Implications for ecosystem carbon and water fluxes. Agricultural and Forest Meteorology. 268, 269-278. doi: 10.1016/j.agrformet.2019.01.030 ( 1 citations ) 
Hinojo-Hinojo, C., Castellanos, A. E., Llano-Sotelo, J., Penuelas, J., Vargas, R., Romo-Leon, J. R. 2018. High V cmax , J max and photosynthetic rates of Sonoran Desert species: Using nitrogen and specific leaf area traits as predictors in biochemical models. Journal of Arid Environments. doi: 10.1016/j.jaridenv.2018.04.006 ( 3 citations ) 
Kim, M., Ham, B., Kraxner, F., Shvidenko, A., Schepaschenko, D., Krasovskii, A., Park, T., Lee, W. 2020. Species- and elevation-dependent productivity changes in East Asian temperate forests. Environmental Research Letters. 15(3), 034012. doi: 10.1088/1748-9326/ab71a2
Kumar, U., Ganguly, S., Nemani, R. R., Raja, K. S., Milesi, C., Sinha, R., Michaelis, A., Votava, P., Hashimoto, H., Li, S., Wang, W., Kalia, S., Gayaka, S. 2017. Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing. Remote Sensing. 9(11), 1105. doi: 10.3390/rs9111105 ( 3 citations ) 
Liu, Q., Basu, S., Ganguly, S., Mukhopadhyay, S., DiBiano, R., Karki, M., Nemani, R. 2019. DeepSat V2: feature augmented convolutional neural nets for satellite image classification. Remote Sensing Letters. 11(2), 156-165. doi: 10.1080/2150704X.2019.1693071 ( 4 citations ) 
Peano, D., Hemming, D., Materia, S., Delire, C., Fan, Y., Joetzjer, E., Lee, H., Nabel, J. E. M. S., Park, T., Peylin, P., Warlind, D., Wiltshire, A., Zaehle, S. Plant phenology evaluation of CRESCENDO land surface models - Part I: start and end of growing season doi: 10.5194/bg-2020-319
Piao, S., Wang, X., Park, T., Chen, C., Lian, X., He, Y., Bjerke, J. W., Chen, A., Ciais, P., Tommervik, H., Nemani, R. R., Myneni, R. B. 2019. Characteristics, drivers and feedbacks of global greening. Nature Reviews Earth & Environment. 1(1), 14-27. doi: 10.1038/s43017-019-0001-x ( 37 citations ) 
Rojas-Robles, N. E., Garatuza-Payan, J., Alvarez-Yepiz, J. C., Sanchez-Mejia, Z. M., Vargas, R., Yepez, E. A. 2020. Environmental Controls on Carbon and Water Fluxes in an Old-Growth Tropical Dry Forest. Journal of Geophysical Research: Biogeosciences. 125(8). doi: 10.1029/2020JG005666
Soriano-Luna, M., Angeles-Perez, G., Guevara, M., Birdsey, R., Pan, Y., Vaquera-Huerta, H., Valdez-Lazalde, J., Johnson, K., Vargas, R. 2018. Determinants of Above-Ground Biomass and Its Spatial Variability in a Temperate Forest Managed for Timber Production. Forests. 9(8), 490. doi: 10.3390/f9080490 ( 4 citations ) 
Vandal, T., Kodra, E., Dy, J., Ganguly, S., Nemani, R., Ganguly, A. R. 2018. Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning. Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. doi: 10.1145/3219819.3219996 ( 5 citations ) 
Vandal, T., Kodra, E., Ganguly, S., Michaelis, A., Nemani, R., Ganguly, A. R. 2017. DeepSD. Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. doi: 10.1145/3097983.3098004 ( 22 citations ) 
Vazquez-Lule A*, Bejarano M, Olguin M, Villeda E, Vargas R (2018). Integración y síntesis de datos para el monitoreo de los manglares de México. In: Métodos para la caracterización de los manglares mexicanos: un enfoque espacial multi-escala. Edited by CONABIO. pp 245-265. ISBN: 978-607-8570-03-4. http://www.biodiversidad.gob.mx/ecosistemas/manglares2013/pdf/metodos/caracterizacion_manglares.pdf
Vazquez-Lule A, Colditz R, Herrera-Silveira J, Guevara M*, Rodriguez-Zuniga MT, Cruz I, Ressl R, Vargas R (2019) Greenness trends and carbon stocks of mangroves across Mexico. Environmental Research Letters. doi: 10.1088/1748-9326/ab246e ( 5 citations ) 
Villarreal S, Guevara M, Alcaraz-Segura D, Vargas R (2019) Optimizing an environmental observatory network using publicly available data. Journal of Geophysical Research-Biogeosciences. doi: 10.1029/2018JG004714
Villarreal, S., Guevara, M., Alcaraz-Segura, D., Brunsell, N. A., Hayes, D., Loescher, H. W., Vargas, R. 2018. Ecosystem functional diversity and the representativeness of environmental networks across the conterminous United States. Agricultural and Forest Meteorology. 262, 423-433. doi: 10.1016/j.agrformet.2018.07.016 ( 10 citations ) 
Warner, D. L., Bond-Lamberty, B., Jian, J., Stell, E., Vargas, R. 2019. Spatial Predictions and Associated Uncertainty of Annual Soil Respiration at the Global Scale. Global Biogeochemical Cycles. 33(12), 1733-1745. doi: 10.1029/2019GB006264 ( 4 citations ) 
Wheeler, K. I., Levia, D. F., Vargas, R. 2019. Visible and near-infrared hyperspectral indices explain more variation in lower-crown leaf nitrogen concentrations in autumn than in summer. Oecologia. doi: 10.1007/s00442-019-04554-2

Verdy, A., Mazloff, M. R., Cornuelle, B. D., Kim, S. Y. 2014. Wind-Driven Sea Level Variability on the California Coast: An Adjoint Sensitivity Analysis. Journal of Physical Oceanography. 44(1), 297-318. doi: 10.1175/JPO-D-13-018.1 ( 15 citations ) 

Baccini, A., Walker, W., Carvalho, L., Farina, M., Houghton, R. A. 2019. Response to Comment on "Tropical forests are a net carbon source based on aboveground measurements of gain and loss". Science. 363(6423), eaat1205. doi: 10.1126/science.aat1205 ( 4 citations ) 
Baccini, A., Walker, W., Carvalho, L., Farina, M., Sulla-Menashe, D., Houghton, R. A. 2017. Tropical forests are a net carbon source based on aboveground measurements of gain and loss. Science. 358(6360), 230-234. doi: 10.1126/science.aam5962 ( 234 citations ) 
Walker, W. S., Gorelik, S. R., Baccini, A., Aragon-Osejo, J. L., Josse, C., Meyer, C., Macedo, M. N., Augusto, C., Rios, S., Katan, T., de Souza, A. A., Cuellar, S., Llanos, A., Zager, I., Mirabal, G. D., Solvik, K. K., Farina, M. K., Moutinho, P., Schwartzman, S. 2020. The role of forest conversion, degradation, and disturbance in the carbon dynamics of Amazon indigenous territories and protected areas. Proceedings of the National Academy of Sciences. 117(6), 3015-3025. doi: 10.1073/pnas.1913321117 ( 8 citations ) 

King, A. W., Hayes, D. J., Huntzinger, D. N., West, T. O., Post, W. M. 2012. North American carbon dioxide sources and sinks: magnitude, attribution, and uncertainty. Frontiers in Ecology and the Environment. 10(10), 512-519. doi: 10.1890/120066 ( 40 citations ) 
Li, Z., Liu, S., Tan, Z., Bliss, N. B., Young, C. J., West, T. O., Ogle, S. M. 2014. Comparing cropland net primary production estimates from inventory, a satellite-based model, and a process-based model in the Midwest of the United States. Ecological Modelling. 277, 1-12. doi: 10.1016/j.ecolmodel.2014.01.012 ( 25 citations ) 
Ogle, S. M., Davis, K., Lauvaux, T., Schuh, A., Cooley, D., West, T. O., Heath, L. S., Miles, N. L., Richardson, S., Breidt, F. J., Smith, J. E., McCarty, J. L., Gurney, K. R., Tans, P., Denning, A. S. 2015. An approach for verifying biogenic greenhouse gas emissions inventories with atmospheric CO 2 concentration data. Environmental Research Letters. 10(3), 034012. doi: 10.1088/1748-9326/10/3/034012 ( 18 citations ) 
Post, W. M., Izaurralde, R. C., West, T. O., Liebig, M. A., King, A. W. 2012. Management opportunities for enhancing terrestrial carbon dioxide sinks. Frontiers in Ecology and the Environment. 10(10), 554-561. doi: 10.1890/120065 ( 29 citations ) 
Schuh, A. E., Lauvaux, T., West, T. O., Denning, A. S., Davis, K. J., Miles, N., Richardson, S., Uliasz, M., Lokupitiya, E., Cooley, D., Andrews, A., Ogle, S. 2013. Evaluating atmospheric CO 2 inversions at multiple scales over a highly inventoried agricultural landscape. Global Change Biology. 19(5), 1424-1439. doi: 10.1111/gcb.12141 ( 54 citations ) 
West, T. O., Brown, M. E., Duren, R. M., Ogle, S. M., Moss, R. H. 2014. Definition, capabilities and components of a terrestrial carbon monitoring system. Carbon Management. 4(4), 413-422. doi: 10.4155/CMT.13.36 ( 3 citations ) 
West, T. O., Le Page, Y., Huang, M., Wolf, J., Thomson, A. M. 2014. Downscaling global land cover projections from an integrated assessment model for use in regional analyses: results and evaluation for the US from 2005 to 2095. Environmental Research Letters. 9(6), 064004. doi: 10.1088/1748-9326/9/6/064004 ( 20 citations ) 
Wolf, J., West, T. O., Le Page, Y., Kyle, G. P., Zhang, X., Collatz, G. J., Imhoff, M. L. 2015. Biogenic carbon fluxes from global agricultural production and consumption. Global Biogeochemical Cycles. 29(10), 1617-1639. doi: 10.1002/2015GB005119 ( 27 citations ) 
Zeng, N., Zhao, F., Collatz, G. J., Kalnay, E., Salawitch, R. J., West, T. O., Guanter, L. 2014. Agricultural Green Revolution as a driver of increasing atmospheric CO2 seasonal amplitude. Nature. 515(7527), 394-397. doi: 10.1038/nature13893 ( 83 citations ) 
Zhang, X., Sahajpal, R., Manowitz, D. H., Zhao, K., LeDuc, S. D., Xu, M., Xiong, W., Zhang, A., Izaurralde, R. C., Thomson, A. M., West, T. O., Post, W. M. 2014. Multi-scale geospatial agroecosystem modeling: A case study on the influence of soil data resolution on carbon budget estimates. Science of The Total Environment. 479-480, 138-150. doi: 10.1016/j.scitotenv.2014.01.099 ( 13 citations ) 

Fargione, J. E., Bassett, S., Boucher, T., Bridgham, S. D., Conant, R. T., Cook-Patton, S. C., Ellis, P. W., Falcucci, A., Fourqurean, J. W., Gopalakrishna, T., Gu, H., Henderson, B., Hurteau, M. D., Kroeger, K. D., Kroeger, T., Lark, T. J., Leavitt, S. M., Lomax, G., McDonald, R. I., Megonigal, J. P., Miteva, D. A., Richardson, C. J., Sanderman, J., Shoch, D., Spawn, S. A., Veldman, J. W., Williams, C. A., Woodbury, P. B., Zganjar, C., Baranski, M., Elias, P., Houghton, R. A., Landis, E., McGlynn, E., Schlesinger, W. H., Siikamaki, J. V., Sutton-Grier, A. E., Griscom, B. W. 2018. Natural climate solutions for the United States. Science Advances. 4(11), eaat1869. doi: 10.1126/sciadv.aat1869 ( 51 citations )   [quad chart]
Gu, H., Williams, C. A., Ghimire, B., Zhao, F., Huang, C. 2016. High-resolution mapping of time since disturbance and forest carbon flux from remote sensing and inventory data to assess harvest, fire, and beetle disturbance legacies in the Pacific Northwest. Biogeosciences. 13(22), 6321-6337. doi: 10.5194/bg-13-6321-2016 ( 6 citations ) 
Gu, H., Williams, C. A., Hasler, N., Zhou, Y. 2019. The Carbon Balance of the Southeastern U.S. Forest Sector as Driven by Recent Disturbance Trends. Journal of Geophysical Research: Biogeosciences. doi: 10.1029/2018JG004841 ( 1 citations )   [quad chart]
Keenan, T. F., Williams, C. A. 2018. The Terrestrial Carbon Sink. Annual Review of Environment and Resources. 43(1), 219-243. doi: 10.1146/annurev-environ-102017-030204 ( 28 citations ) 
Schleeweis, K. G., Moisen, G. G., Schroeder, T. A., Toney, C., Freeman, E. A., Goward, S. N., Huang, C., Dungan, J. L. 2020. US National Maps Attributing Forest Change: 1986-2010. Forests. 11(6), 653. doi: 10.3390/f11060653 ( 2 citations ) 
Williams, C. A., Gu, H., MacLean, R., Masek, J. G., Collatz, G. J. 2016. Disturbance and the carbon balance of US forests: A quantitative review of impacts from harvests, fires, insects, and droughts. Global and Planetary Change. 143, 66-80. doi: 10.1016/j.gloplacha.2016.06.002 ( 59 citations )   [quad chart]

Byrd, K. B., Ballanti, L., Thomas, N., Nguyen, D., Holmquist, J. R., Simard, M., Windham-Myers, L. 2018. A remote sensing-based model of tidal marsh aboveground carbon stocks for the conterminous United States. ISPRS Journal of Photogrammetry and Remote Sensing. 139, 255-271. doi: 10.1016/j.isprsjprs.2018.03.019 ( 21 citations )   [quad chart]
EPA, 2017. Inventory of US greenhouse gas emissions and sinks: 1990-2015. Environmental Protection Agency. https://www.epa.gov/ghgemissions/inventory-us-greenhouse-gas-emissions-and-sinks-1990-2015. Chapter 6. Land Use, Land-Use Change, and Forestry
Hinson, A. L., Feagin, R. A., Eriksson, M. 2019. Environmental Controls on the Distribution of Tidal Wetland Soil Organic Carbon in the Continental United States. Global Biogeochemical Cycles. 33(11), 1408-1422. doi: 10.1029/2019GB006179
Hinson, A. L., Feagin, R. A., Eriksson, M., Najjar, R. G., Herrmann, M., Bianchi, T. S., Kemp, M., Hutchings, J. A., Crooks, S., Boutton, T. 2017. The spatial distribution of soil organic carbon in tidal wetland soils of the continental United States. Global Change Biology. 23(12), 5468-5480. doi: 10.1111/gcb.13811 ( 29 citations ) 
Holmquist, J. R., Windham-Myers, L., Bliss, N., Crooks, S., Morris, J. T., Megonigal, J. P., Troxler, T., Weller, D., Callaway, J., Drexler, J., Ferner, M. C., Gonneea, M. E., Kroeger, K. D., Schile-Beers, L., Woo, I., Buffington, K., Breithaupt, J., Boyd, B. M., Brown, L. N., Dix, N., Hice, L., Horton, B. P., MacDonald, G. M., Moyer, R. P., Reay, W., Shaw, T., Smith, E., Smoak, J. M., Sommerfield, C., Thorne, K., Velinsky, D., Watson, E., Grimes, K. W., Woodrey, M. 2018. Accuracy and Precision of Tidal Wetland Soil Carbon Mapping in the Conterminous United States. Scientific Reports. 8(1). doi: 10.1038/s41598-018-26948-7 ( 25 citations )   [quad chart]
Holmquist, J., Windham-Myers, L., Bernal, B., Byrd, K. B., Crooks, S., Gonneea, M. E., Herold, N., Knox, S. H., Kroeger, K., McCombs, J., Megonigal, J. P., Meng, L., Morris, J. T., Sutton-Grier, A. E., Troxler, T. G., Weller, D. 2018. Uncertainty in United States coastal wetland greenhouse gas inventorying. Environmental Research Letters. doi: 10.1088/1748-9326/aae157 ( 4 citations )   [quad chart]
Morris, J. T., Barber, D. C., Callaway, J. C., Chambers, R., Hagen, S. C., Hopkinson, C. S., Johnson, B. J., Megonigal, P., Neubauer, S. C., Troxler, T., Wigand, C. 2016. Contributions of organic and inorganic matter to sediment volume and accretion in tidal wetlands at steady state. Earth's Future. 4(4), 110-121. doi: 10.1002/2015EF000334 ( 89 citations )   [quad chart]
Rogers, K., Kelleway, J. J., Saintilan, N., Megonigal, J. P., Adams, J. B., Holmquist, J. R., Lu, M., Schile-Beers, L., Zawadzki, A., Mazumder, D., Woodroffe, C. D. 2019. Wetland carbon storage controlled by millennial-scale variation in relative sea-level rise. Nature. 567(7746), 91-95. doi: 10.1038/s41586-019-0951-7 ( 60 citations ) 
Thomas, N., Simard, M., Castaneda-Moya, E., Byrd, K., Windham-Myers, L., Bevington, A., Twilley, R. R. 2019. High-resolution mapping of biomass and distribution of marsh and forested wetlands in southeastern coastal Louisiana. International Journal of Applied Earth Observation and Geoinformation. 80, 257-267. doi: 10.1016/j.jag.2019.03.013 ( 2 citations ) 
Windham-Myers, L., T. Troxler, and S. Crooks (eds) (2018) A Blue Carbon Primer: The State of Coastal Wetland Carbon Science, Practice and Policy. 352pp. CRC Press, Taylor and Francis Group: Boca Raton, FL ISBN-13: 978-1498769099

Holden, C. E., Woodcock, C. E. 2016. An analysis of Landsat 7 and Landsat 8 underflight data and the implications for time series investigations. Remote Sensing of Environment. 185, 16-36. doi: 10.1016/j.rse.2016.02.052 ( 41 citations ) 

Deng, F., Chen, J. M., Pan, Y., Peters, W., Birdsey, R., McCullough, K., Xiao, J. 2013. The use of forest stand age information in an atmospheric CO2 inversion applied to North America. Biogeosciences. 10(8), 5335-5348. doi: 10.5194/bg-10-5335-2013 ( 11 citations ) 
John, R., Chen, J., Ou-Yang, Z., Xiao, J., Becker, R., Samanta, A., Ganguly, S., Yuan, W., Batkhishig, O. 2013. Vegetation response to extreme climate events on the Mongolian Plateau from 2000 to 2010. Environmental Research Letters. 8(3), 035033. doi: 10.1088/1748-9326/8/3/035033 ( 63 citations ) 
Raczka, B. M., Davis, K. J., Huntzinger, D., Neilson, R. P., Poulter, B., Richardson, A. D., Xiao, J., Baker, I., Ciais, P., Keenan, T. F., Law, B., Post, W. M., Ricciuto, D., Schaefer, K., Tian, H., Tomelleri, E., Verbeeck, H., Viovy, N. 2013. Evaluation of continental carbon cycle simulations with North American flux tower observations. Ecological Monographs. 83(4), 531-556. doi: 10.1890/12-0893.1 ( 54 citations ) 
Xiao, J. 2013. Assessing Net Ecosystem Exchange of Carbon Dioxide Between the Terrestrial Biosphere and the Atmosphere Using Fluxnet Observations and Remote Sensing in: Springer Remote Sensing/Photogrammetry: Biophysical Applications of Satellite Remote Sensing. Springer Nature, 149-169. doi: 10.1007/978-3-642-25047-7_6 ( 1 citations ) 
Xiao, J., Chen, J., Davis, K. J., Reichstein, M. 2012. Advances in upscaling of eddy covariance measurements of carbon and water fluxes. Journal of Geophysical Research: Biogeosciences. 117(G1). doi: 10.1029/2011JG001889 ( 38 citations ) 
Xiao, J., Sun, G., Chen, J., Chen, H., Chen, S., Dong, G., Gao, S., Guo, H., Guo, J., Han, S., Kato, T., Li, Y., Lin, G., Lu, W., Ma, M., McNulty, S., Shao, C., Wang, X., Xie, X., Zhang, X., Zhang, Z., Zhao, B., Zhou, G., Zhou, J. 2013. Carbon fluxes, evapotranspiration, and water use efficiency of terrestrial ecosystems in China. Agricultural and Forest Meteorology. 182-183, 76-90. doi: 10.1016/j.agrformet.2013.08.007 ( 102 citations ) 
Xiao, J., Zhang, L., Chen, J., John, R. (2013) Dynamics of vegetation productivity in Dryland East Asia from 1982 to 2010. In: Dryland East Asia (DEA): Land Dynamics Amid Social And Climate Change, Chen J, Wan S, Henebry G, Qi J, Gutman G, Sun G, Kappas M (eds.) HEP and De Gruyter, pages 125-147.
Zhang, L., Guo, H., Jia, G., Wylie, B., Gilmanov, T., Howard, D., Ji, L., Xiao, J., Li, J., Yuan, W., Zhao, T., Chen, S., Zhou, G., Kato, T. 2014. Net ecosystem productivity of temperate grasslands in northern China: An upscaling study. Agricultural and Forest Meteorology. 184, 71-81. doi: 10.1016/j.agrformet.2013.09.004 ( 31 citations ) 
Zhang, L., Xiao, J., Li, J., Wang, K., Lei, L., Guo, H. 2012. The 2010 spring drought reduced primary productivity in southwestern China. Environmental Research Letters. 7(4), 045706. doi: 10.1088/1748-9326/7/4/045706 ( 104 citations )