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Publications Citing Carbon Monitoring System (CMS)

The following 71 publications cited the Carbon Monitoring System (CMS) project.

YearCitationDataset or Project
2021Campagnolo, M.L., R. Libonati, J.A. Rodrigues, and J.M.C. Pereira. 2021. A comprehensive characterization of MODIS daily burned area mapping accuracy across fire sizes in tropical savannas. Remote Sensing of Environment. 252:112115. https://doi.org/10.1016/j.rse.2020.112115Global Fire Atlas with Characteristics of Individual Fires, 2003-2016
2021Cushman, K.C., J.T. Burley, B. Imbach, S.S. Saatchi, C.E. Silva, O. Vargas, C. Zgraggen, and J.R. Kellner. 2021. Impact of a tropical forest blowdown on aboveground carbon balance. Scientific Reports. 11(1):. https://doi.org/10.1038/s41598-021-90576-xLiDAR Surveys over Selected Forest Research Sites, Brazilian Amazon, 2008-2018
2021Davis, K.J., E.V. Browell, S. Feng, T. Lauvaux, M.D. Obland, S. Pal, B.C. Baier, D.F. Baker, I.T. Baker, Z.R. Barkley, K.W. Bowman, Y.Y. Cui, A.S. Denning, J.P. DiGangi, J.T. Dobler, A. Fried, T. Gerken, K. Keller, B. Lin, A.R. Nehrir, C.P. Normile, C.W. O'Dell, L.E. Ott, A. Roiger, A.E. Schuh, C. Sweeney, Y. Wei, B. Weir, M. Xue, and C.A. Williams. 2021. The Atmospheric Carbon and Transport (ACT) - America Mission. Bulletin of the American Meteorological Society. 1-54. https://doi.org/10.1175/BAMS-D-20-0300.1CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.0)
2021Fornacca, D., G. Ren, and W. Xiao. 2021. Small fires, frequent clouds, rugged terrain and no training data: a methodology to reconstruct fire history in complex landscapes. International Journal of Wildland Fire. 30(2):125. https://doi.org/10.1071/WF20072Annual Burned Area from Landsat, Mawas, Central Kalimantan, Indonesia, 1997-2015
2021Hundertmark, W.J., M. Lee, I.A. Smith, A.H.Y. Bang, V. Chen, C.K. Gately, P.H. Templer, and L.R. Hutyra. 2021. Influence of landscape management practices on urban greenhouse gas budgets. Carbon Balance and Management. 16(1):. https://doi.org/10.1186/s13021-020-00160-5CMS: CO2 Emissions from Fossil Fuels Combustion, ACES Inventory for Northeastern USA
2021Irvin, J., S. Zhou, G. McNicol, F. Lu, V. Liu, E. Fluet-Chouinard, Z. Ouyang, S.H. Knox, A. Lucas-Moffat, C. Trotta, D. Papale, D. Vitale, I. Mammarella, P. Alekseychik, M. Aurela, A. Avati, D. Baldocchi, S. Bansal, G. Bohrer, D.I. Campbell, J. Chen, H. Chu, H.J. Dalmagro, K.B. Delwiche, A.R. Desai, E. Euskirchen, S. Feron, M. Goeckede, M. Heimann, M. Helbig, C. Helfter, K.S. Hemes, T. Hirano, H. Iwata, G. Jurasinski, A. Kalhori, A. Kondrich, D.Y. Lai, A. Lohila, A. Malhotra, L. Merbold, B. Mitra, A. Ng, M.B. Nilsson, A. Noormets, M. Peichl, A.C. Rey-Sanchez, A.D. Richardson, B.R. Runkle, K.V. Schafer, O. Sonnentag, E. Stuart-Haentjens, C. Sturtevant, M. Ueyama, A.C. Valach, R. Vargas, G.L. Vourlitis, E.J. Ward, G.X. Wong, D. Zona, M.C.R. Alberto, D.P. Billesbach, G. Celis, H. Dolman, T. Friborg, K. Fuchs, S. Gogo, M.J. Gondwe, J.P. Goodrich, P. Gottschalk, L. Hortnagl, A. Jacotot, F. Koebsch, K. Kasak, R. Maier, T.H. Morin, E. Nemitz, W.C. Oechel, P.Y. Oikawa, K. Ono, T. Sachs, A. Sakabe, E.A. Schuur, R. Shortt, R.C. Sullivan, D.J. Szutu, E.S. Tuittila, A. Varlagin, J.G. Verfaillie, C. Wille, L. Windham-Myers, B. Poulter, and R.B. Jackson. 2021. Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands. Agricultural and Forest Meteorology. 308-309:108528. https://doi.org/10.1016/j.agrformet.2021.108528CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.0)
2021Lamb, R.L., L. Ma, R. Sahajpal, J. Edmonds, N.E. Hultman, R.O. Dubayah, J. Kennedy, and G.C. Hurtt. 2021. Geospatial assessment of the economic opportunity for reforestation in Maryland, USA. Environmental Research Letters. 16(8):084012. https://doi.org/10.1088/1748-9326/ac109aCMS: LiDAR-derived Tree Canopy Cover for States in the Northeast USA
2021Smith, A.J. and M.L. Kirwan. 2021. Sea Level-Driven Marsh Migration Results in Rapid Net Loss of Carbon. Geophysical Research Letters. 48(13):. https://doi.org/10.1029/2021GL092420Coastal Wetland Elevation and Carbon Flux Inventory with Uncertainty, USA, 2006-2011
2020Bukoski, J.J., A. Elwin, R.A. MacKenzie, S. Sharma, J. Purbopuspito, B. Kopania, M. Apwong, R. Poolsiri, and M.D. Potts. 2020. The role of predictive model data in designing mangrove forest carbon programs. Environmental Research Letters. 15(8):084019. https://doi.org/10.1088/1748-9326/ab7e4eGlobal Mangrove Distribution, Aboveground Biomass, and Canopy Height
2020Butler, M.P., T. Lauvaux, S. Feng, J. Liu, K.W. Bowman, and K.J. Davis. 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. https://doi.org/10.3390/atmos11080787CMS: Hourly Carbon Dioxide Estimated Using the WRF Model, North America, 2010
2020Filippelli, S.K., M.J. Falkowski, A.T. Hudak, P.A. Fekety, J.C. Vogeler, A.H. Khalyani, B.M. Rau, and E.K. Strand. 2020. Monitoring pinyon-juniper cover and aboveground biomass across the Great Basin. Environmental Research Letters. 15(2):025004. https://doi.org/10.1088/1748-9326/ab6785CMS: Pinyon-Juniper Forest Live Aboveground Biomass, Great Basin, USA, 2000-2016
2020Girolamo-Neto, C.D., L.Y. Sato, I.D. Sanches, I.C.O. Silva, J.C.S. Rocha, and C.A. Almeida. 2020. OBJECT BASED IMAGE ANALYSIS AND TEXTURE FEATURES FOR PASTURE CLASSIFICATION IN BRAZILIAN SAVANNAH. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. V-3-2020:453-460. https://doi.org/10.5194/isprs-annals-V-3-2020-453-2020CMS: LiDAR-derived Biomass, Canopy Height and Cover, Sonoma County, California, 2013
2020Glagolev, V.G.A. and A.M. Zubareva. 2020. System for building air patrol routes for fire-prone areas of vegetation. 258. https://doi.org/10.1117/12.2575589Global Fire Atlas with Characteristics of Individual Fires, 2003-2016
2020Liu, Y., M. Kumar, G.G. Katul, X. Feng, and A.G. Konings. 2020. Plant hydraulics accentuates the effect of atmospheric moisture stress on transpiration. Nature Climate Change. 10(7):691-695. https://doi.org/10.1038/s41558-020-0781-5CMS: GLAS LiDAR-derived Global Estimates of Forest Canopy Height, 2004-2008
2020Lowner, M.O., N.C. Bandelow, M. Gerke, F. Hillen, L. Klein, A. Schmidt, and T. Siefer. 2020. TOWARDS INNOVATIVE PARTICIPATION-ORIENTED PLANNING OF INFRASTRUCTURE MEASURES. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XLIII-B4-2020:55-61. https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-55-2020CMS: LiDAR-derived Biomass, Canopy Height and Cover, Sonoma County, California, 2013
2020Shigetomi, Y., Y. Ishimura, and Y. Yamamoto. 2020. Trends in global dependency on the Indonesian palm oil and resultant environmental impacts. Scientific Reports. 10(1):. https://doi.org/10.1038/s41598-020-77458-4Global Fire Atlas with Characteristics of Individual Fires, 2003-2016
2020Worthington, T.A., D.A. Andradi-Brown, R. Bhargava, C. Buelow, P. Bunting, C. Duncan, L. Fatoyinbo, D.A. Friess, L. Goldberg, L. Hilarides, D. Lagomasino, E. Landis, K. Longley-Wood, C.E. Lovelock, N.J. Murray, S. Narayan, A. Rosenqvist, M. Sievers, M. Simard, N. Thomas, P. van Eijk, C. Zganjar, and M. Spalding. 2020. Harnessing Big Data to Support the Conservation and Rehabilitation of Mangrove Forests Globally. One Earth. 2(5):429-443. https://doi.org/10.1016/j.oneear.2020.04.018Global Mangrove Distribution, Aboveground Biomass, and Canopy Height
2020Zhou, Y., C.A. Williams, T. Lauvaux, K.J. Davis, S. Feng, I. Baker, S. Denning, and Y. Wei. 2020. A Multiyear Gridded Data Ensemble of Surface Biogenic Carbon Fluxes for North America: Evaluation and Analysis of Results. Journal of Geophysical Research: Biogeosciences. 125(2):. https://doi.org/10.1029/2019JG005314CMS: Modeled Net Ecosystem Exchange at 3-hourly Time Steps, 2004-2010
2019Andela, N., D.C. Morton, L. Giglio, R. Paugam, Y. Chen, S. Hantson, G.R. van der Werf, and J.T. Randerson. 2019. The Global Fire Atlas of individual fire size, duration, speed and direction. Earth System Science Data. 11(2):529-552. https://doi.org/10.5194/essd-11-529-2019Global Fire Atlas with Characteristics of Individual Fires, 2003-2016
2019Duren, R.M., A.K. Thorpe, K.T. Foster, T. Rafiq, F.M. Hopkins, V. Yadav, B.D. Bue, D.R. Thompson, S. Conley, N.K. Colombi, C. Frankenberg, I.B. McCubbin, M.L. Eastwood, M. Falk, J.D. Herner, B.E. Croes, R.O. Green, and C.E. Miller. 2019. California's methane super-emitters. Nature. 575(7781):180-184. https://doi.org/10.1038/s41586-019-1720-3Methane Plumes Derived from AVIRIS-NG over Point Sources across California, 2016-2017
2019Huang, W., K. Dolan, A. Swatantran, K. Johnson, H. Tang, J. O'Neil-Dunne, R. Dubayah, and G. Hurtt. 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. 14(9):095002. https://doi.org/10.1088/1748-9326/ab2917CMS: LiDAR-derived Estimates of Aboveground Biomass at Four Forested Sites, USA
2019Huang, W., K. Dolan, A. Swatantran, K. Johnson, H. Tang, J. O'Neil-Dunne, R. Dubayah, and G. Hurtt. 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. 14(9):095002. https://doi.org/10.1088/1748-9326/ab2917CMS: LiDAR-derived Aboveground Biomass, Canopy Height and Cover for Maryland, 2011
2019Huang, W., K. Dolan, A. Swatantran, K. Johnson, H. Tang, J. O'Neil-Dunne, R. Dubayah, and G. Hurtt. 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. 14(9):095002. https://doi.org/10.1088/1748-9326/ab2917LiDAR Derived Biomass, Canopy Height and Cover for Tri-State (MD, PA, DE) Region, V2
2019Hurtt, G., M. Zhao, R. Sahajpal, A. Armstrong, R. Birdsey, E. Campbell, K. Dolan, R. Dubayah, J.P. Fisk, S. Flanagan, C. Huang, W. Huang, K. Johnson, R. Lamb, L. Ma, R. Marks, D. O'Leary, J. O'Neil-Dunne, A. Swatantran, and H. Tang. 2019. Beyond MRV: high-resolution forest carbon modeling for climate mitigation planning over Maryland, USA. Environmental Research Letters. 14(4):045013. https://doi.org/10.1088/1748-9326/ab0bbeCMS: LiDAR-derived Aboveground Biomass, Canopy Height and Cover for Maryland, 2011
2019Hurtt, G., M. Zhao, R. Sahajpal, A. Armstrong, R. Birdsey, E. Campbell, K. Dolan, R. Dubayah, J.P. Fisk, S. Flanagan, C. Huang, W. Huang, K. Johnson, R. Lamb, L. Ma, R. Marks, D. O'Leary, J. O'Neil-Dunne, A. Swatantran, and H. Tang. 2019. Beyond MRV: high-resolution forest carbon modeling for climate mitigation planning over Maryland, USA. Environmental Research Letters. 14(4):045013. https://doi.org/10.1088/1748-9326/ab0bbeForest Aboveground Biomass and Carbon Sequestration Potential for Maryland, USA
2019Ishizawa, M., D. Chan, D. Worthy, E. Chan, F. Vogel, and S. Maksyutov. 2019. Analysis of atmospheric CH<sub>4</sub> in Canadian Arctic and estimation of the regional CH<sub>4</sub> fluxes. Atmospheric Chemistry and Physics. 19(7):4637-4658. https://doi.org/10.5194/acp-19-4637-2019CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.0)
2019Lagomasino, D., T. Fatoyinbo, S. Lee, E. Feliciano, C. Trettin, A. Shapiro, and M.M. Mangora. 2019. Measuring mangrove carbon loss and gain in deltas. Environmental Research Letters. 14(2):025002. https://doi.org/10.1088/1748-9326/aaf0deCMS: Mangrove Canopy Characteristics and Land Cover Change, Tanzania, 1990-2014
2019Peltola, O., T. Vesala, Y. Gao, O. Raty, P. Alekseychik, M. Aurela, B. Chojnicki, A.R. Desai, A.J. Dolman, E.S. Euskirchen, T. Friborg, M. Gockede, M. Helbig, E. Humphreys, R.B. Jackson, G. Jocher, F. Joos, J. Klatt, S.H. Knox, L. Kutzbach, S. Lienert, A. Lohila, I. Mammarella, D.F. Nadeau, M.B. Nilsson, W.C. Oechel, M. Peichl, T. Pypker, W. Quinton, J. Rinne, T. Sachs, M. Samson, H.P. Schmid, O. Sonnentag, C. Wille, D. Zona, and T. Aalto. 2019. Monthly Gridded Data Product of Northern Wetland Methane Emissions Based on Upscaling Eddy Covariance Observations. Earth System Science Data Discussions. 1-50. https://doi.org/10.5194/essd-2019-28CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.0)
2019Peltola, O., T. Vesala, Y. Gao, O. Raty, P. Alekseychik, M. Aurela, B. Chojnicki, A.R. Desai, A.J. Dolman, E.S. Euskirchen, T. Friborg, M. Gockede, M. Helbig, E. Humphreys, R.B. Jackson, G. Jocher, F. Joos, J. Klatt, S.H. Knox, N. Kowalska, L. Kutzbach, S. Lienert, A. Lohila, I. Mammarella, D.F. Nadeau, M.B. Nilsson, W.C. Oechel, M. Peichl, T. Pypker, W. Quinton, J. Rinne, T. Sachs, M. Samson, H.P. Schmid, O. Sonnentag, C. Wille, D. Zona, and T. Aalto. 2019. Monthly gridded data product of northern wetland methane emissions based on upscaling eddy covariance observations. Earth System Science Data. 11(3):1263-1289. https://doi.org/10.5194/essd-11-1263-2019CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.0)
2019Philip, S., M.S. Johnson, C. Potter, V. Genovesse, D.F. Baker, K.D. Haynes, D.K. Henze, J. Liu, and B. Poulter. 2019. Prior biosphere model impact on global terrestrial CO2 fluxes estimated from OCO-2 retrievals. Atmospheric Chemistry and Physics. 19(20):13267-13287. https://doi.org/10.5194/acp-19-13267-2019CMS: Modeled Net Ecosystem Exchange at 3-hourly Time Steps, 2004-2010
2019Plant, G., E.A. Kort, C. Floerchinger, A. Gvakharia, I. Vimont, and C. Sweeney. 2019. Large Fugitive Methane Emissions From Urban Centers Along the U.S. East Coast. Geophysical Research Letters. 46(14):8500-8507. https://doi.org/10.1029/2019GL082635CMS: CO2 Emissions from Fossil Fuels Combustion, ACES Inventory for Northeastern USA
2019Silva, C.A., R. Valbuena, E.R. Pinage, M. Mohan, D.R.A. Almeida, E. North Broadbent, W.S.W.M. Jaafar, D. Papa, A. Cardil, and C. Klauberg. 2019. F orest G ap R: An r Package for forest gap analysis from canopy height models . Methods in Ecology and Evolution. 10(8):1347-1356. https://doi.org/10.1111/2041-210X.13211CMS: LiDAR Data for Forested Areas in Paragominas, Para, Brazil, 2012-2014
2019Tejada, G., E.B. Gorgens, F.D.B. Espirito-Santo, R.Z. Cantinho, and J.P. Ometto. 2019. Evaluating spatial coverage of data on the aboveground biomass in undisturbed forests in the Brazilian Amazon. Carbon Balance and Management. 14(1):. https://doi.org/10.1186/s13021-019-0126-8CMS: Forest Inventory and Biophysical Measurements, Para, Brazil, 2012-2014
2019Tejada, G., E.B. Gorgens, F.D.B. Espirito-Santo, R.Z. Cantinho, and J.P. Ometto. 2019. Evaluating spatial coverage of data on the aboveground biomass in undisturbed forests in the Brazilian Amazon. Carbon Balance and Management. 14(1):. https://doi.org/10.1186/s13021-019-0126-8CMS: LiDAR Data for Forested Areas in Paragominas, Para, Brazil, 2012-2014
2019Warner, D.L., B. Bond-Lamberty, J. Jian, E. Stell, and R. Vargas. 2019. Spatial Predictions and Associated Uncertainty of Annual Soil Respiration at the Global Scale. Global Biogeochemical Cycles. 33(12):1733-1745. https://doi.org/10.1029/2019GB006264Global Gridded 1-km Annual Soil Respiration and Uncertainty Derived from SRDB V3
2018Aguilar, A., H. Flores, G. Crespo, M. Marin, I. Campos, and A. Calera. 2018. Performance Assessment of MOD16 in Evapotranspiration Evaluation in Northwestern Mexico. Water. 10(7):901. https://doi.org/10.3390/w10070901CMS: Evapotranspiration and Meteorology, Water-Limited Shrublands, Mexico, 2008-2010
2018Battles, J.J., D.M. Bell, R.E. Kennedy, D.S. Saah, B.M. Collins, R.A. York, J.E. Sanders, and F. Lopez-Ornelas2018. Innovations in Measuring and Managing Forest Carbon Stocks In California. California Natural Resources Agency. CMS: Forest Carbon Stocks, Emissions, and Net Flux for the Conterminous US: 2005-2010
2018Cook, R.B., Y. Wei, L.A. Hook, S.K.S. Vannan, and J.J. McNelis 2018. Preserve: Protecting Data for Long-Term Use. Ecological Informatics. CMS: Forest Inventory and Biophysical Measurements, Para, Brazil, 2012-2014
2018Dayalu, A., J.W. Munger, S.C. Wofsy, Y. Wang, T. Nehrkorn, Y. Zhao, M.B. McElroy, C.P. Nielsen, and K. Luus. 2018. Assessing biotic contributions to CO<sub>2</sub> fluxes in northern China using the Vegetation, Photosynthesis and Respiration Model (VPRM-CHINA) and observations from 2005 to 2009. Biogeosciences. 15(21):6713-6729. https://doi.org/10.5194/bg-15-6713-2018CMS: Modeled Net Ecosystem Exchange at 3-hourly Time Steps, 2004-2010
2018Fargione, J.E., S. Bassett, T. Boucher, S.D. Bridgham, R.T. Conant, S.C. Cook-Patton, P.W. Ellis, A. Falcucci, J.W. Fourqurean, T. Gopalakrishna, H. Gu, B. Henderson, M.D. Hurteau, K.D. Kroeger, T. Kroeger, T.J. Lark, S.M. Leavitt, G. Lomax, R.I. McDonald, J.P. Megonigal, D.A. Miteva, C.J. Richardson, J. Sanderman, D. Shoch, S.A. Spawn, J.W. Veldman, C.A. Williams, P.B. Woodbury, C. Zganjar, M. Baranski, P. Elias, R.A. Houghton, E. Landis, E. McGlynn, W.H. Schlesinger, J.V. Siikamaki, A.E. Sutton-Grier, and B.W. Griscom. 2018. Natural climate solutions for the United States. Science Advances. 4(11):eaat1869. https://doi.org/10.1126/sciadv.aat1869CMS: Forest Biomass and Productivity, 1-degree and 5-km, Conterminous US, 2005
2018Fargione, J.E., S. Bassett, T. Boucher, S.D. Bridgham, R.T. Conant, S.C. Cook-Patton, P.W. Ellis, A. Falcucci, J.W. Fourqurean, T. Gopalakrishna, H. Gu, B. Henderson, M.D. Hurteau, K.D. Kroeger, T. Kroeger, T.J. Lark, S.M. Leavitt, G. Lomax, R.I. McDonald, J.P. Megonigal, D.A. Miteva, C.J. Richardson, J. Sanderman, D. Shoch, S.A. Spawn, J.W. Veldman, C.A. Williams, P.B. Woodbury, C. Zganjar, M. Baranski, P. Elias, R.A. Houghton, E. Landis, E. McGlynn, W.H. Schlesinger, J.V. Siikamaki, A.E. Sutton-Grier, and B.W. Griscom. 2018. Natural climate solutions for the United States. Science Advances. 4(11):eaat1869. https://doi.org/10.1126/sciadv.aat1869CMS: Forest Carbon Stocks, Emissions, and Net Flux for the Conterminous US: 2005-2010
2018Fatoyinbo, T., E.A. Feliciano, D. Lagomasino, S.K. Lee, and C. Trettin. 2018. Estimating mangrove aboveground biomass from airborne LiDAR data: a case study from the Zambezi River delta. Environmental Research Letters. 13(2):025012. https://doi.org/10.1088/1748-9326/aa9f03CMS: LiDAR Data for Mangrove Forests in the Zambezi River Delta, Mozambique, 2014
2018Fatoyinbo, T., E.A. Feliciano, D. Lagomasino, S.K. Lee, and C. Trettin. 2018. Estimating mangrove aboveground biomass from airborne LiDAR data: a case study from the Zambezi River delta. Environmental Research Letters. 13(2):025012. https://doi.org/10.1088/1748-9326/aa9f03CMS: Aboveground Biomass for Mangrove Forest, Zambezi River Delta, Mozambique
2018Holmquist, J.R., L. Windham-Myers, B. Bernal, K.B. Byrd, S. Crooks, M.E. Gonneea, N. Herold, S.H. Knox, K.D. Kroeger, J. McCombs, J.P. Megonigal, M. Lu, J.T. Morris, A.E. Sutton-Grier, T.G. Troxler, and D.E. Weller. 2018. Uncertainty in United States coastal wetland greenhouse gas inventorying. Environmental Research Letters. 13(11):115005. https://doi.org/10.1088/1748-9326/aae157Coastal Wetland Elevation and Carbon Flux Inventory with Uncertainty, USA, 2006-2011
2018Holmquist, J.R., L. Windham-Myers, N. Bliss, S. Crooks, J.T. Morris, J.P. Megonigal, T. Troxler, D. Weller, J. Callaway, J. Drexler, M.C. Ferner, M.E. Gonneea, K.D. Kroeger, L. Schile-Beers, I. Woo, K. Buffington, J. Breithaupt, B.M. Boyd, L.N. Brown, N. Dix, L. Hice, B.P. Horton, G.M. MacDonald, R.P. Moyer, W. Reay, T. Shaw, E. Smith, J.M. Smoak, C. Sommerfield, K. Thorne, D. Velinsky, E. Watson, K.W. Grimes, and M. Woodrey. 2018. Accuracy and Precision of Tidal Wetland Soil Carbon Mapping in the Conterminous United States. Scientific Reports. 8(1):. https://doi.org/10.1038/s41598-018-26948-7Tidal Wetland Soil Carbon Stocks for the Conterminous United States, 2006-2010
2018Miller, S.M., A.M. Michalak, V. Yadav, and J.M. Tadic. 2018. Characterizing biospheric carbon balance using CO<sub>2</sub> observations from the OCO-2 satellite. Atmospheric Chemistry and Physics. 18(9):6785-6799. https://doi.org/10.5194/acp-18-6785-2018CMS: Modeled Net Ecosystem Exchange at 3-hourly Time Steps, 2004-2010
2018Petrova, I., D. Miralles, C. van Heerwaarden, and H. Wouters. 2018. Relation between Convective Rainfall Properties and Antecedent Soil Moisture Heterogeneity Conditions in North Africa. Remote Sensing. 10(6):969. https://doi.org/10.3390/rs10060969CMS: Forest Inventory and Biophysical Measurements, Para, Brazil, 2012-2014
2018Qu, Y., A. Shaker, C. Silva, C. Klauberg, and E. Pinage. 2018. Remote Sensing of Leaf Area Index from LiDAR Height Percentile Metrics and Comparison with MODIS Product in a Selectively Logged Tropical Forest Area in Eastern Amazonia. Remote Sensing. 10(6):970. https://doi.org/10.3390/rs10060970CMS: Forest Inventory and Biophysical Measurements, Para, Brazil, 2012-2014
2018Qu, Y., A. Shaker, C. Silva, C. Klauberg, and E. Pinage. 2018. Remote Sensing of Leaf Area Index from LiDAR Height Percentile Metrics and Comparison with MODIS Product in a Selectively Logged Tropical Forest Area in Eastern Amazonia. Remote Sensing. 10(6):970. https://doi.org/10.3390/rs10060970CMS: LiDAR Data for Forested Areas in Paragominas, Para, Brazil, 2012-2014
2018Sargent, M., Y. Barrera, T. Nehrkorn, L.R. Hutyra, C.K. Gately, T. Jones, K. McKain, C. Sweeney, J. Hegarty, B. Hardiman, J.A. Wang, and S.C. Wofsy. 2018. Anthropogenic and biogenic CO2 fluxes in the Boston urban region. Proceedings of the National Academy of Sciences. 115(29):7491-7496. https://doi.org/10.1073/pnas.1803715115CMS: CO2 Emissions from Fossil Fuels Combustion, ACES Inventory for Northeastern USA
2018Simard, M., L. Fatoyinbo, C. Smetanka, V.H. Rivera-Monroy, E. Castaneda-Moya, N. Thomas, and T. Van der Stocken. 2018. Mangrove canopy height globally related to precipitation, temperature and cyclone frequency. Nature Geoscience. 12(1):40-45. https://doi.org/10.1038/s41561-018-0279-1Global Mangrove Distribution, Aboveground Biomass, and Canopy Height
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