The following 84 publications cited the Carbon Monitoring System (CMS) project.
| Year | Citation | Dataset or Project |
|---|---|---|
| 2022 | Hall, J.S., J.S. Plisinski, S.K. Mladinich, M. van Breugel, H.R. Lai, G.P. Asner, K. Walker, and J.R. Thompson. 2022. Deforestation scenarios show the importance of secondary forest for meeting Panama's carbon goals. Landscape Ecology. 37(3):673-694. https://doi.org/10.1007/s10980-021-01379-4 | CMS: Estimated Deforested Area Biomass, Tropical America, Africa, and Asia, 2000 |
| 2022 | Holmquist, J.R. and L. Windham-Myers. 2022. A Conterminous USA-Scale Map of Relative Tidal Marsh Elevation. Estuaries and Coasts. https://doi.org/10.1007/s12237-021-01027-9 | Relative Tidal Marsh Elevation Maps with Uncertainty for Conterminous USA, 2010 |
| 2022 | Lang, N., N. Kalischek, J. Armston, K. Schindler, R. Dubayah, and J.D. Wegner. 2022. Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles. Remote Sensing of Environment. 268:112760. https://doi.org/10.1016/j.rse.2021.112760 | CMS: LiDAR Data for Forested Sites on Borneo Island, Kalimantan, Indonesia, 2014 |
| 2022 | Lu, X., D.J. Jacob, H. Wang, J.D. Maasakkers, Y. Zhang, T.R. Scarpelli, L. Shen, Z. Qu, M.P. Sulprizio, H. Nesser, A.A. Bloom, S. Ma, J.R. Worden, S. Fan, R.J. Parker, H. Boesch, R. Gautam, D. Gordon, M.D. Moran, F. Reuland, C.A.O. Villasana, and A. Andrews. 2022. Methane emissions in the United States, Canada, and Mexico: evaluation of national methane emission inventories and 2010-2017 sectoral trends by inverse analysis of in situ (GLOBALVIEWplus CH<sub>4</sub> ObsPack) and satellite (GOSAT) atmospheric observations. Atmospheric Chemistry and Physics. 22(1):395-418. https://doi.org/10.5194/acp-22-395-2022 | CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.3.1) |
| 2022 | Winbourne, J.B., I.A. Smith, H. Stoynova, C. Kohler, C.K. Gately, B.A. Logan, J. Reblin, A. Reinmann, D.W. Allen, and L.R. Hutyra. 2022. Quantification of Urban Forest and Grassland Carbon Fluxes Using Field Measurements and a Satellite-Based Model in Washington DC/Baltimore Area. Journal of Geophysical Research: Biogeosciences. 127(1):. https://doi.org/10.1029/2021JG006568 | CMS: CO2 Emissions from Fossil Fuels Combustion, ACES Inventory for Northeastern USA |
| 2021 | Basso, L.S., L. Marani, L.V. Gatti, J.B. Miller, M. Gloor, J. Melack, H.L.G. Cassol, G. Tejada, L.G. Domingues, E. Arai, A.H. Sanchez, S.M. Correa, L. Anderson, L.E.O.C. Aragao, C.S.C. Correia, S.P. Crispim, and R.A.L. Neves. 2021. Amazon methane budget derived from multi-year airborne observations highlights regional variations in emissions. Communications Earth & Environment. 2(1):. https://doi.org/10.1038/s43247-021-00314-4 | CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.0) |
| 2021 | Bruening, J.M., R. Fischer, F.J. Bohn, J. Armston, A.H. Armstrong, N. Knapp, H. Tang, A. Huth, and R. Dubayah. 2021. Challenges to aboveground biomass prediction from waveform lidar. Environmental Research Letters. 16(12):125013. https://doi.org/10.1088/1748-9326/ac3cec | Disturbance History and Forest Biomass from Landsat for Six US Sites, 1985-2014 |
| 2021 | Campagnolo, 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.2020.112115 | Global Fire Atlas with Characteristics of Individual Fires, 2003-2016 |
| 2021 | Castellanos-Galindo, G.A., R.A. Baos, and L.A. Zapata. 2021. Mangrove-associated fish assemblages off the southern Panama Bight region (tropical eastern Pacific). Neotropical Ichthyology. 19(4):. https://doi.org/10.1590/1982-0224-2021-0025 | Global Mangrove Distribution, Aboveground Biomass, and Canopy Height |
| 2021 | Cushman, 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-x | LiDAR Surveys over Selected Forest Research Sites, Brazilian Amazon, 2008-2018 |
| 2021 | Cusworth, D.H., A.A. Bloom, S. Ma, C.E. Miller, K. Bowman, Y. Yin, J.D. Maasakkers, Y. Zhang, T.R. Scarpelli, Z. Qu, D.J. Jacob, and J.R. Worden. 2021. A Bayesian framework for deriving sector-based methane emissions from top-down fluxes. Communications Earth & Environment. 2(1):. https://doi.org/10.1038/s43247-021-00312-6 | CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.0) |
| 2021 | Davis, 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-20-0300.1 | CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.0) |
| 2021 | Fornacca, 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/WF20072 | Annual Burned Area from Landsat, Mawas, Central Kalimantan, Indonesia, 1997-2015 |
| 2021 | Hundertmark, 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/s13021-020-00160-5 | CMS: CO2 Emissions from Fossil Fuels Combustion, ACES Inventory for Northeastern USA |
| 2021 | Irvin, 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.2021.108528 | CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.0) |
| 2021 | Lamb, 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/ac109a | CMS: LiDAR-derived Tree Canopy Cover for States in the Northeast USA |
| 2021 | Li, C. and S. Managi. 2021. Contribution of on-road transportation to PM2.5. Scientific Reports. 11(1):. https://doi.org/10.1038/s41598-021-00862-x | CMS: DARTE Annual On-road CO2 Emissions on a 1-km Grid, Conterminous USA, 1980-2012 |
| 2021 | Li, C. and S. Managi. 2021. Contribution of on-road transportation to PM2.5. Scientific Reports. 11(1):. https://doi.org/10.1038/s41598-021-00862-x | DARTE Annual On-road CO2 Emissions on a 1-km Grid, Conterminous USA, V2, 1980-2017 |
| 2021 | Ma, S., J.R. Worden, A.A. Bloom, Y. Zhang, B. Poulter, D.H. Cusworth, Y. Yin, S. Pandey, J.D. Maasakkers, X. Lu, L. Shen, J. Sheng, C. Frankenberg, C.E. Miller, and D.J. Jacob. 2021. Satellite Constraints on the Latitudinal Distribution and Temperature Sensitivity of Wetland Methane Emissions. AGU Advances. 2(3):. https://doi.org/10.1029/2021AV000408 | CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.0) |
| 2021 | Sloan, S., L. Tacconi, and M.E. Cattau. 2021. Fire prevention in managed landscapes: Recent success and challenges in Indonesia. Mitigation and Adaptation Strategies for Global Change. 26(7):. https://doi.org/10.1007/s11027-021-09965-2 | Annual Burned Area from Landsat, Mawas, Central Kalimantan, Indonesia, 1997-2015 |
| 2021 | Smith, 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/10.1029/2021GL092420 | Coastal Wetland Elevation and Carbon Flux Inventory with Uncertainty, USA, 2006-2011 |
| 2020 | Bukoski, 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/ab7e4e | Global Mangrove Distribution, Aboveground Biomass, and Canopy Height |
| 2020 | Butler, 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/atmos11080787 | CMS: Hourly Carbon Dioxide Estimated Using the WRF Model, North America, 2010 |
| 2020 | Filippelli, 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/ab6785 | CMS: Pinyon-Juniper Forest Live Aboveground Biomass, Great Basin, USA, 2000-2016 |
| 2020 | Girolamo-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-3-2020-453-2020 | CMS: LiDAR-derived Biomass, Canopy Height and Cover, Sonoma County, California, 2013 |
| 2020 | Glagolev, V.G.A. and A.M. Zubareva. 2020. System for building air patrol routes for fire-prone areas of vegetation. 258. https://doi.org/10.1117/12.2575589 | Global Fire Atlas with Characteristics of Individual Fires, 2003-2016 |
| 2020 | Gurney, Kevin; Liang, Jianming; Patarasuk, Risa; Song, Yang; Huang, Jinhua; Roest, GeoffreyReplication Data for: Towards accurate, policy-relevant fossil fuel CO2 emission landscapes. Harverd Dataverse. https://doi.org/10.7910/DVN/U6PRVT | CMS: CO2 Emissions from Fossil Fuels Combustion, ACES Inventory for Northeastern USA |
| 2020 | Liu, 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/s41558-020-0781-5 | CMS: GLAS LiDAR-derived Global Estimates of Forest Canopy Height, 2004-2008 |
| 2020 | Lowner, 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-B4-2020-55-2020 | CMS: LiDAR-derived Biomass, Canopy Height and Cover, Sonoma County, California, 2013 |
| 2020 | Shigetomi, 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/s41598-020-77458-4 | Global Fire Atlas with Characteristics of Individual Fires, 2003-2016 |
| 2020 | Worthington, 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.2020.04.018 | Global Mangrove Distribution, Aboveground Biomass, and Canopy Height |
| 2020 | Zhou, 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/10.1029/2019JG005314 | CMS: Modeled Net Ecosystem Exchange at 3-hourly Time Steps, 2004-2010 |
| 2019 | Andela, 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-11-529-2019 | Global Fire Atlas with Characteristics of Individual Fires, 2003-2016 |
| 2019 | Duren, 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/s41586-019-1720-3 | Methane Plumes Derived from AVIRIS-NG over Point Sources across California, 2016-2017 |
| 2019 | Huang, 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/ab2917 | CMS: LiDAR-derived Estimates of Aboveground Biomass at Four Forested Sites, USA |
| 2019 | Huang, 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/ab2917 | CMS: LiDAR-derived Aboveground Biomass, Canopy Height and Cover for Maryland, 2011 |
| 2019 | Huang, 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/ab2917 | LiDAR Derived Biomass, Canopy Height and Cover for Tri-State (MD, PA, DE) Region, V2 |
| 2019 | Hurtt, 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/ab0bbe | CMS: LiDAR-derived Aboveground Biomass, Canopy Height and Cover for Maryland, 2011 |
| 2019 | Hurtt, 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/ab0bbe | Forest Aboveground Biomass and Carbon Sequestration Potential for Maryland, USA |
| 2019 | Ishizawa, 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-19-4637-2019 | CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.0) |
| 2019 | Lagomasino, 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/aaf0de | CMS: Mangrove Canopy Characteristics and Land Cover Change, Tanzania, 1990-2014 |
| 2019 | Peltola, 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-2019-28 | CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.0) |
| 2019 | Peltola, 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-11-1263-2019 | CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.0) |
| 2019 | Philip, 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-19-13267-2019 | CMS: Modeled Net Ecosystem Exchange at 3-hourly Time Steps, 2004-2010 |
| 2019 | Plant, 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/10.1029/2019GL082635 | CMS: CO2 Emissions from Fossil Fuels Combustion, ACES Inventory for Northeastern USA |
| 2019 | Silva, 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.13211 | CMS: LiDAR Data for Forested Areas in Paragominas, Para, Brazil, 2012-2014 |
| 2019 | Tejada, 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/s13021-019-0126-8 | CMS: Forest Inventory and Biophysical Measurements, Para, Brazil, 2012-2014 |
| 2019 | Tejada, 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/s13021-019-0126-8 | CMS: LiDAR Data for Forested Areas in Paragominas, Para, Brazil, 2012-2014 |
| 2019 | Warner, 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/10.1029/2019GB006264 | Global Gridded 1-km Annual Soil Respiration and Uncertainty Derived from SRDB V3 |
| 2018 | Aguilar, 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/w10070901 | CMS: Evapotranspiration and Meteorology, Water-Limited Shrublands, Mexico, 2008-2010 |
| 2018 | Battles, 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 |
| 2018 | Cook, 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 |
| 2018 | Dayalu, 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-15-6713-2018 | CMS: Modeled Net Ecosystem Exchange at 3-hourly Time Steps, 2004-2010 |
| 2018 | Fargione, 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.aat1869 | CMS: Forest Biomass and Productivity, 1-degree and 5-km, Conterminous US, 2005 |
| 2018 | Fargione, 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.aat1869 | CMS: Forest Carbon Stocks, Emissions, and Net Flux for the Conterminous US: 2005-2010 |
| 2018 | Fatoyinbo, 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/aa9f03 | CMS: LiDAR Data for Mangrove Forests in the Zambezi River Delta, Mozambique, 2014 |
| 2018 | Fatoyinbo, 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/aa9f03 | CMS: Aboveground Biomass for Mangrove Forest, Zambezi River Delta, Mozambique |
| 2018 | Holmquist, 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/aae157 | Coastal Wetland Elevation and Carbon Flux Inventory with Uncertainty, USA, 2006-2011 |
| 2018 | Holmquist, 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/s41598-018-26948-7 | Tidal Wetland Soil Carbon Stocks for the Conterminous United States, 2006-2010 |
| 2018 | Miller, 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-18-6785-2018 | CMS: Modeled Net Ecosystem Exchange at 3-hourly Time Steps, 2004-2010 |
| 2018 | Petrova, 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/rs10060969 | CMS: Forest Inventory and Biophysical Measurements, Para, Brazil, 2012-2014 |
| 2018 | Qu, 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/rs10060970 | CMS: Forest Inventory and Biophysical Measurements, Para, Brazil, 2012-2014 |
| 2018 | Qu, 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/rs10060970 | CMS: LiDAR Data for Forested Areas in Paragominas, Para, Brazil, 2012-2014 |
| 2018 | Sargent, 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.1803715115 | CMS: CO2 Emissions from Fossil Fuels Combustion, ACES Inventory for Northeastern USA |
| 2018 | Simard, 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/s41561-018-0279-1 | Global Mangrove Distribution, Aboveground Biomass, and Canopy Height |
| 2018 | Xiao, F., C. Li, Z. Wu, and Y. Wu. 2018. NMSTREAM: A SCALABLE EVENT-DRIVEN ETL FRAMEWORK FOR PROCESSING HETEROGENEOUS STREAMING DATA. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. IV-4:243-246. https://doi.org/10.5194/isprs-annals-IV-4-243-2018 | CMS: LiDAR-derived Biomass, Canopy Height and Cover, Sonoma County, California, 2013 |
| 2018 | Xu, Q., A. Man, M. Fredrickson, Z. Hou, J. Pitkanen, B. Wing, C. Ramirez, B. Li, and J.A. Greenberg. 2018. Quantification of uncertainty in aboveground biomass estimates derived from small-footprint airborne LiDAR. Remote Sensing of Environment. 216:514-528. https://doi.org/10.1016/j.rse.2018.07.022 | LiDAR-Derived Aboveground Biomass and Uncertainty for California Forests, 2005-2014 |
| 2017 | Bloom, A.A., K.W. Bowman, M. Lee, A.J. Turner, R. Schroeder, J.R. Worden, R. Weidner, K.C. McDonald, and D.J. Jacob. 2017. A global wetland methane emissions and uncertainty dataset for atmospheric chemical transport models (WetCHARTs version 1.0). Geoscientific Model Development. 10(6):2141-2156. https://doi.org/10.5194/gmd-10-2141-2017 | CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.0) |
| 2017 | Castro, A., J.F. Martinez-Osuna, R. Michel, M. Escoto-Rodriguez, S.H. Bullock, A. Cueva, E. Lopez-Reyes, J. Reimer, M. Salazar, S. Villarreal, and R. Vargas. 2017. A low-cost modular data-acquisition system for monitoring biometeorological variables. Computers and Electronics in Agriculture. 141:357-371. https://doi.org/10.1016/j.compag.2017.08.010 | CMS: Evapotranspiration and Meteorology, Water-Limited Shrublands, Mexico, 2008-2010 |
| 2017 | Chen, G., D.J. Hayes, and A. David McGuire. 2017. Contributions of wildland fire to terrestrial ecosystem carbon dynamics in North America from 1990 to 2012. Global Biogeochemical Cycles. 31(5):878-900. https://doi.org/10.1002/2016GB005548 | Annual wildland fire emissions (WFEIS v0.5) for Conterminous US and Alaska, 2001-2013 |
| 2017 | Gately, C.K. and L.R. Hutyra. 2017. Large Uncertainties in Urban-Scale Carbon Emissions. Journal of Geophysical Research: Atmospheres. 122(20):11,242-11,260. https://doi.org/10.1002/2017JD027359 | CMS: CO2 Emissions from Fossil Fuels Combustion, ACES Inventory for Northeastern USA |
| 2017 | Huang, W., A. Swatantran, L. Duncanson, K. Johnson, D. Watkinson, K. Dolan, J. O'Neil-Dunne, G. Hurtt, and R. Dubayah. 2017. County-scale biomass map comparison: a case study for Sonoma, California. Carbon Management. 8(5-6):417-434. https://doi.org/10.1080/17583004.2017.1396840 | CMS: LiDAR-derived Aboveground Biomass, Canopy Height and Cover for Maryland, 2011 |
| 2017 | Kanno, Y., M.A. Kulp, S.E. Moore, and G.D. Grossman. 2017. Native brook trout and invasive rainbow trout respond differently to seasonal weather variation: Spawning timing matters. Freshwater Biology. 62(5):868-879. https://doi.org/10.1111/fwb.12906 | CMS: Global Carbon Fluxes Associated with Livestock Feed and Emissions, 2000-2013 |
| 2017 | Wei, Y., Z. Wei, and S. Vannan2017. Facilitate Visualization and Distribution of NASA?s Environmental Science Data through Open Standards and Open Source Software for Geospatial. Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings. 17:. | CMS: DARTE Annual On-road CO2 Emissions on a 1-km Grid, Conterminous USA, 1980-2012 |
| 2017 | Zscheischler, J., M.D. Mahecha, V. Avitabile, L. Calle, N. Carvalhais, P. Ciais, F. Gans, N. Gruber, J. Hartmann, M. Herold, K. Ichii, M. Jung, P. Landschutzer, G.G. Laruelle, R. Lauerwald, D. Papale, P. Peylin, B. Poulter, D. Ray, P. Regnier, C. Rodenbeck, R.M. Roman-Cuesta, C. Schwalm, G. Tramontana, A. Tyukavina, R. Valentini, G. van der Werf, T.O. West, J.E. Wolf, and M. Reichstein. 2017. Reviews and syntheses: An empirical spatiotemporal description of the global surface-atmosphere carbon fluxes: opportunities and data limitations. Biogeosciences. 14(15):3685-3703. https://doi.org/10.5194/bg-14-3685-2017 | CMS: Carbon Fluxes from Global Agricultural Production and Consumption, 2005-2011 |
| 2016 | Colbeck, I. 2016. Measuring Hydrocarbons in the Atmosphere. 151-159. https://doi.org/10.1007/8623_2016_199 | CMS: Atmospheric Methane Concentrations and Prior Emissions, Boston, MA, 2012-2014 |
| 2016 | Fisher, J.B., M. Sikka, D.N. Huntzinger, C. Schwalm, and J. Liu. 2016. Technical note: 3-hourly temporal downscaling of monthly global terrestrial biosphere model net ecosystem exchange. Biogeosciences. 13(14):4271-4277. https://doi.org/10.5194/bg-13-4271-2016 | CMS: Modeled Net Ecosystem Exchange at 3-hourly Time Steps, 2004-2010 |
| 2016 | Harris, N.L., S.C. Hagen, S.S. Saatchi, T.R.H. Pearson, C.W. Woodall, G.M. Domke, B.H. Braswell, B.F. Walters, S. Brown, W. Salas, A. Fore, and Y. Yu. 2016. Attribution of net carbon change by disturbance type across forest lands of the conterminous United States. Carbon Balance and Management. 11(1):. https://doi.org/10.1186/s13021-016-0066-5 | CMS: Forest Carbon Stocks, Emissions, and Net Flux for the Conterminous US: 2005-2010 |
| 2016 | Lu, X., Y. Hu, P.L. Lucker, and C. Trepte. 2016. Forest Canopy Height Estimation from Calipso Lidar Measurement. EPJ Web of Conferences. 119:22005. https://doi.org/10.1051/epjconf/201611922005 | CMS: GLAS LiDAR-derived Global Estimates of Forest Canopy Height, 2004-2008 |
| 2016 | Phillips, C.L., B. Bond-Lamberty, A.R. Desai, M. Lavoie, D. Risk, J. Tang, K. Todd-Brown, and R. Vargas. 2016. The value of soil respiration measurements for interpreting and modeling terrestrial carbon cycling. Plant and Soil. 413(1-2):1-25. https://doi.org/10.1007/s11104-016-3084-x | CMS: Soil CO2 Efflux and Properties, Site Vegetation Measurements, Mexico, 2011-2012 |
| 2016 | Sohl, T.L., M.C. Wimberly, V.C. Radeloff, D.M. Theobald, and B.M. Sleeter. 2016. Divergent projections of future land use in the United States arising from different models and scenarios. Ecological Modelling. 337:281-297. https://doi.org/10.1016/j.ecolmodel.2016.07.016 | CMS: Land Cover Projections (5.6-km) from GCAM v3.1 for Conterminous USA, 2005-2095 |
| 2016 | Tang, H., A. Swatantran, T. Barrett, P. DeCola, and R. Dubayah. 2016. Voxel-Based Spatial Filtering Method for Canopy Height Retrieval from Airborne Single-Photon Lidar. Remote Sensing. 8(9):771. https://doi.org/10.3390/rs8090771 | CMS: LiDAR-derived Aboveground Biomass, Canopy Height and Cover for Maryland, 2011 |
| 2015 | Wolf, J., T.O. West, Y. Le Page, G.P. Kyle, X. Zhang, G.J. Collatz, and M.L. Imhoff. 2015. Biogenic carbon fluxes from global agricultural production and consumption. Global Biogeochemical Cycles. 29(10):1617-1639. https://doi.org/10.1002/2015GB005119 | CMS: Carbon Fluxes from Global Agricultural Production and Consumption, 2005-2011 |
| 2014 | West, T.O., Y. Le Page, M. Huang, J. Wolf, and A.M. Thomson. 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. https://doi.org/10.1088/1748-9326/9/6/064004 | CMS: Land Cover Projections (5.6-km) from GCAM v3.1 for Conterminous USA, 2005-2095 |