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  • By Year: 2019

55 Publication(s) Matched

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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 ( Stehman (CMS 2013) )
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 ( Kennedy (CMS 2015), 1 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 ( Hurtt (CMS 2016) )
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 ( Hudak (CMS 2014) )  [quad chart]
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 ( Williams (CMS 2014) )  [quad chart]
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 ( Windham-Myers (CMS 2014) )
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 ( Bowman (CMS 2016) )
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 ( Sedano (CMS 2016) )
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. doi: 10.1029/2018JG004974 ( Cochrane (CMS 2013) )
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 ( Dubayah (CMS 2011)  Dubayah (CMS 2013)  Hurtt (CMS 2014)  Hurtt (CMS 2016) )
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 ( Friedrichs (IDS 2009)   )
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 ( Andrews (CMS 2011)  Andrews (CMS 2014)  Andrews (CMS 2016) )  [quad chart]
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) )
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 ( Jacob (CMS 2016), 1 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 ( Fahnenstiel (CMS 2016), 5 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 ( Fahnenstiel (CMS 2016), 1 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 )
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 ( Bowman (CMS 2016) )
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 ( Guan (CMS 2016) )
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 ( Ott (CMS 2016) )
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 ( Healey (CMS 2016), 2 citations )  [quad chart]
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 ( Cochrane (CMS 2013) )
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 ( Cook (CMS 2015)   )
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 ( Lin (CMS 2015), 4 citations )  [quad chart]
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 ( Lin (CMS 2015), 2 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 ( Fatoyinbo (CMS 2015), 6 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 ( Vargas (CMS 2016) )
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 ( Vargas (CMS 2016) )
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 ( Lauvaux (CMS 2013), 1 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 ( Cochrane (CMS 2015) )
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 ( Cook (CMS 2015)  , 2 citations )
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. doi: 10.1029/2018JD030062 ( Duren (CMS 2015), 3 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 ( Bowman (CMS 2016), 2 citations )
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 ( Vargas (CMS 2016) )
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 ( Vargas (CMS 2016) )
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 )
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 ( Randerson (CMS 2016) )
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 ( Keller (CMS 2013)  Morton (CMS 2014) )  [quad chart]
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 ( Hurtt (CMS 2014)  Hurtt (CMS 2016), 2 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, 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 ( Lohrenz (CMS 2014)  , 1 citations )
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 ( Windham-Myers (CMS 2014) )
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) )
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 ( Elvidge (CMS 2015), 2 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 ( Jacob (CMS 2016), 1 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 ( Randerson (CMS 2016), 1 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 )
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]
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 ( Healey (CMS 2016) )  [quad chart]
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 ( Fatoyinbo (CMS 2016), 1 citations )
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 ( Cook (CMS 2015)  , 1 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. ( 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) )
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. ( Nehrkorn (CMS 2015) )
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 ( Vargas (CMS 2016) )
Coffield, S.R., C.A. Graff, Y. Chen, P. Smyth, E. Foufoula-Georgiou, and J.T. Randerson. 2019. Machine learning to predict final fire size at the time of ignition. International Journal of Wildland Fire. In press. ( Randerson (CMS 2016) )