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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 ( Miller (CMS 2011), 20 citations )
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 ( Cook (CMS 2015)  , 14 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 ( Cook (CMS 2015)  Morton (CMS 2013)  , 12 citations )
Alonzo, M., R. J. Dial, B. K. Schulz, H. -E. Andersen, E. Lewis-Clark, B. D. Cook and D. Morton. Mapping tall shrub structure in Alaska at scale using structure-from-motion photogrammetry and lidar. Remote Sensing of Environment (submitted). ( Cook (CMS 2015)   )
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 ( Jacob (CMS 2016), 41 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 ( Morton (CMS 2014), 129 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 ( Randerson (CMS 2016), 4 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 ( Houghton (CMS 2011), 17 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). ( Cook (CMS 2015)   )
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 ( Olofsson (CMS 2015), 3 citations )  [quad chart]
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 ( Balch (OBB 2009)  , 91 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 ( Bowman (CMS 2011)  Bowman (CMS 2014), 55 citations )
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 ( Cook (CMS 2015)  , 4 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 ( Hurtt (CMS 2014), 17 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 ( Cook (CMS 2011)  Cook (CMS 2015)  Dubayah (CMS 2013)  Hurtt (CMS 2014)  Morton (CMS 2013)  , 14 citations )  [quad chart]
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 ( Cook (CMS 2011)  Cook (CMS 2015)  Dubayah (CMS 2013)  Hurtt (CMS 2014)  Morton (CMS 2013)  , 14 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 ( Cook (CMS 2011)  Morton (CMS 2013)  Saatchi (CMS 2011)  , 13 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 ( Houghton (CMS 2011), 694 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 ( Walker (CMS 2014), 1 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 ( Baccini (CMS 2015)  Walker (CMS 2014), 127 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 ( Balch (OBB 2009)  , 3 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 ( Balch (OBB 2009)  , 9 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 ( Balch (OBB 2009)  , 16 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 ( Houghton (CMS 2011), 47 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 ( Vargas (CMS 2013), 23 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 ( Vargas (CMS 2013)  Vargas (CMS 2016), 14 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 ( Jacob (CMS 2011)  Nehrkorn (CMS 2015) )
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. ( Nehrkorn (CMS 2015) )
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 ( Ganguly (CMS 2014), 33 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 ( Ganguly (CMS 2014), 15 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 ( Ganguly (CMS 2014), 8 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 ( Ganguly (CMS 2014) )
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 ( Hurtt (CMS 2016)  Vargas (CMS 2016), 16 citations )
Behrenfeld, M. J. 2014. Climate-mediated dance of the plankton. Nature Climate Change. 4(10), 880-887. doi: 10.1038/NCLIMATE2349 ( Behrenfeld (NOPP 2009)  , 40 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 ( Behrenfeld (NOPP 2009)  , 130 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 ( Behrenfeld (NOPP 2009)  , 55 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 ( Behrenfeld (NOPP 2009)  , 41 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 ( Behrenfeld (NOPP 2009)  , 80 citations )
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 ( Kennedy (CMS 2011), 1 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 ( Friedrichs (IDS 2009)  Lohrenz (CMS 2014)  , 1 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 ( Vargas (CMS 2013), 34 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 ( Vargas (CMS 2013), 57 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 ( Vargas (CMS 2013), 36 citations )
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 ( Duren (2013), 3 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 ( Vargas (CMS 2016), 36 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 ( Stehman (CMS 2013), 27 citations )
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 ( Fahnenstiel (CMS 2016), 6 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 ( Bowman (CMS 2011), 19 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 ( Bowman (CMS 2014), 13 citations )
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 ( Ganguly (CMS 2014), 7 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 ( Bowman (CMS 2011), 9 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 ( Morton (CMS 2014), 77 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 ( Lauvaux (CMS 2013) )
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 ( Windham-Myers (CMS 2014)  , 7 citations )  [quad chart]
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 ( Morton (CMS 2013)  , 5 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 ( Lohrenz (CMS 2011)  , 2 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 ( Lohrenz (IDS 2009)  , 414 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 ( Guan (CMS 2016), 29 citations )  [quad chart]
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 ( Balch (OBB 2009)  , 6 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 ( Vargas (CMS 2013) )
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 ( Lohrenz (CMS 2014)  , 19 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. doi: 10.1002/2016JC012092 ( Lohrenz (CMS 2011)  Lohrenz (CMS 2014)  Lohrenz (IDS 2009)   )  [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 ( Lohrenz (CMS 2011)  , 10 citations )
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