The following 129 publications cited the Carbon Monitoring System (CMS) project.
| Year | Citation | Dataset or Project |
|---|---|---|
| 2023 | Aken, I.A., M. Okanga-Guay, M. Abaker, E. Dumont, S.D.M. Boubala, L. Ngombi-Pemba, and A. Nieguitsila. 2023. Allometric Equation for Aerial Carbon Estimation (AGC) of Rhizophora racemosa and Avicennia germinans Mangroves of Olende and Ozouri in the Ogooué Delta in Gabon. East African Journal of Forestry and Agroforestry. 6(1):148-162. https://doi.org/10.37284/eajfa.6.1.1228 | Global Mangrove Distribution, Aboveground Biomass, and Canopy Height |
| 2023 | Baloloy, A.B., K.P. Martinez, A.C. Blanco, M.E.P. Neri, K. Di V. Ticman, D.F. Burgos, J.A. Principe, R.B. Reyes, S.G. Salmo, and K. Nadaoka. 2023. Mapping Multi-decadal Mangrove Forest Change in the Philippines: Vegetation Extent and Impacts of Anthropogenic and Climate-Related Factors. Climate Change Management, Climate Change Strategies: Handling the Challenges of Adapting to a Changing Climate. 217-248. https://doi.org/10.1007/978-3-031-28728-2_12 | Global Mangrove Distribution, Aboveground Biomass, and Canopy Height |
| 2023 | Bansal, S., M. Post van der Burg, R.R. Fern, J.W. Jones, R. Lo, O.P. McKenna, B.A. Tangen, Z. Zhang, and R.A. Gleason. 2023. Large increases in methane emissions expected from North America’s largest wetland complex. Science Advances. 9(9). https://doi.org/10.1126/sciadv.ade1112 | CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.3.1) |
| 2023 | Chen, Z., D.J. Jacob, R. Gautam, M. Omara, R.N. Stavins, R.C. Stowe, H. Nesser, M.P. Sulprizio, A. Lorente, D.J. Varon, X. Lu, L. Shen, Z. Qu, D.C. Pendergrass, and S. Hancock. 2023. Satellite quantification of methane emissions and oil–gas methane intensities from individual countries in the Middle East and North Africa: implications for climate action. Atmospheric Chemistry and Physics. 23(10):5945-5967. https://doi.org/10.5194/acp-23-5945-2023 | CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.3.1) |
| 2023 | East, A., A. Hansen, D. Armenteras, P. Jantz, and D.W. Roberts. 2023. Measuring Understory Fire Effects from Space: Canopy Change in Response to Tropical Understory Fire and What This Means for Applications of GEDI to Tropical Forest Fire. Remote Sensing. 15(3):696. https://doi.org/10.3390/rs15030696 | LiDAR Surveys over Selected Forest Research Sites, Brazilian Amazon, 2008-2018 |
| 2023 | Fan, X., E. Bai, J. Zhang, X. Wang, W. Yuan, and S. Piao. 2023. The Carbon Transfer From Plant to Soil Is More Efficient in Less Productive Ecosystems. Global Biogeochemical Cycles. 37(8). https://doi.org/10.1029/2023GB007727 | CMS: Forest Carbon Stocks, Emissions, and Net Flux for the Conterminous US: 2005-2010 |
| 2023 | Li, S., C. Wang, P. Gao, B. Zhao, C. Jin, L. Zhao, B. He, and Y. Xue. 2023. High-Spatial-Resolution Methane Emissions Calculation Using TROPOMI Data by a Divergence Method. Atmosphere. 14(2):388. https://doi.org/10.3390/atmos14020388 | CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.3.1) |
| 2023 | May, P., K.S. McConville, G.G. Moisen, J. Bruening, and R. Dubayah. 2023. A spatially varying model for small area estimates of biomass density across the contiguous United States. Remote Sensing of Environment. 286:113420. https://doi.org/10.1016/j.rse.2022.113420 | CMS: Forest Aboveground Biomass from FIA Plots across the Conterminous USA, 2009-2019 |
| 2023 | Melo, J., T. Baker, D. Nemitz, S. Quegan, and G. Ziv. 2023. Satellite-based global maps are rarely used in forest reference levels submitted to the UNFCCC. Environmental Research Letters. 18(3):034021. https://doi.org/10.1088/1748-9326/acba31 | Global Mangrove Distribution, Aboveground Biomass, and Canopy Height |
| 2023 | Melo, J., T. Baker, D. Nemitz, S. Quegan, and G. Ziv. 2023. Satellite-based global maps are rarely used in forest reference levels submitted to the UNFCCC. Environmental Research Letters. 18(3):034021. https://doi.org/10.1088/1748-9326/acba31 | Aboveground Biomass Change for Amazon Basin, Mexico, and Pantropical Belt, 2003-2016 |
| 2023 | Ochiai, O., B. Poulter, F.M. Seifert, S. Ward, I. Jarvis, A. Whitcraft, R. Sahajpal, S. Gilliams, M. Herold, S. Carter, L.I. Duncanson, H. Kay, R. Lucas, S.N. Wilson, J. Melo, J. Post, S. Briggs, S. Quegan, M. Dowell, A. Cescatti, D. Crisp, S. Saatchi, T. Tadono, M. Steventon, and A. Rosenqvist. 2023. Towards a roadmap for space-based observations of the land sector for the UNFCCC global stocktake. iScience. 26(4):106489. https://doi.org/10.1016/j.isci.2023.106489 | Global Mangrove Distribution, Aboveground Biomass, and Canopy Height |
| 2023 | Ohenhen, L.O., M. Shirzaei, C. Ojha, and M.L. Kirwan. 2023. Hidden vulnerability of US Atlantic coast to sea-level rise due to vertical land motion. Nature Communications. 14(1). https://doi.org/10.1038/s41467-023-37853-7 | Relative Tidal Marsh Elevation Maps with Uncertainty for Conterminous USA, 2010 |
| 2023 | Pais, C., J.R. Gonzalez-Olabarria, P. Elimbi Moudio, J. Garcia-Gonzalo, M.C. González, and Z.M. Shen. 2023. Global scale coupling of pyromes and fire regimes. Communications Earth & Environment. 4(1). https://doi.org/10.1038/s43247-023-00881-8 | Global Fire Atlas with Characteristics of Individual Fires, 2003-2016 |
| 2023 | Radabaugh, K.R., R.P. Moyer, A.R. Chappel, J.L. Breithaupt, D. Lagomasino, E.E. Dontis, C.E. Russo, B.E. Rosenheim, L.G. Chambers, E.I. Peneva-Reed, and J.M. Smoak. 2023. A Spatial Model Comparing Above- and Belowground Blue Carbon Stocks in Southwest Florida Mangroves and Salt Marshes. Estuaries and Coasts. 46(6):1536-1556. https://doi.org/10.1007/s12237-023-01217-7 | Global Mangrove Distribution, Aboveground Biomass, and Canopy Height |
| 2023 | Scott, R.L., M.R. Johnston, J.F. Knowles, N. MacBean, K. Mahmud, M.C. Roby, and M.P. Dannenberg. 2023. Interannual variability of spring and summer monsoon growing season carbon exchange at a semiarid savanna over nearly two decades. Agricultural and Forest Meteorology. 339:109584. https://doi.org/10.1016/j.agrformet.2023.109584 | Greenness Trends and Carbon Stocks of Mangrove Forests Across Mexico, 2001-2015 |
| 2023 | Woltz, V.L., C.L. Stagg, K.B. Byrd, L. Windham-Myers, A.S. Rovai, and Z. Zhu. 2023. Above- and Belowground Biomass Carbon Stock and Net Primary Productivity Maps for Tidal Herbaceous Marshes of the United States. Remote Sensing. 15(6):1697. https://doi.org/10.3390/rs15061697 | Relative Tidal Marsh Elevation Maps with Uncertainty for Conterminous USA, 2010 |
| 2022 | Bernardino, A.F., A.C.A. Mazzuco, F.M. Souza, T.M. Santos, C.J. Sanders, C.G. Massone, R.F. Costa, A.E.B. Silva, T.O. Ferreira, G.N. Nóbrega, T.S. Silva, and J.B. Kauffman. 2022. The novel mangrove environment and composition of the Amazon Delta. Current Biology. 32(16):3636-3640.e2. https://doi.org/10.1016/j.cub.2022.06.071 | Global Mangrove Distribution, Aboveground Biomass, and Canopy Height |
| 2022 | Campbell, A.D., L. Fatoyinbo, L. Goldberg, and D. Lagomasino. 2022. Global hotspots of salt marsh change and carbon emissions. Nature. 612(7941):701-706. https://doi.org/10.1038/s41586-022-05355-z | Global Salt Marsh Change, 2000-2019 |
| 2022 | Cano-Crespo, A., D. Traxl, G. Prat-Ortega, S. Rolinski, and K. Thonicke. 2022. Characterization of land cover-specific fire regimes in the Brazilian Amazon. Regional Environmental Change. 23(1). https://doi.org/10.1007/s10113-022-02012-z | Global Fire Atlas with Characteristics of Individual Fires, 2003-2016 |
| 2022 | Chandel, A., W. Sarwat, A. Najah, S. Dhanagare, and M. Agarwala. 2022. Evaluating methods to map burned area at 30-meter resolution in forests and agricultural areas of Central India. Frontiers in Forests and Global Change. 5. https://doi.org/10.3389/ffgc.2022.933807 | Annual Burned Area from Landsat, Mawas, Central Kalimantan, Indonesia, 1997-2015 |
| 2022 | Chopping, M., Z. Wang, C. Schaaf, M.A. Bull, and R.R. Duchesne. 2022. Forest aboveground biomass in the southwestern United States from a MISR multi-angle index, 2000–2015. Remote Sensing of Environment. 275:112964. https://doi.org/10.1016/j.rse.2022.112964 | CMS: Forest Carbon Stocks, Emissions, and Net Flux for the Conterminous US: 2005-2010 |
| 2022 | Chopping, M., Z. Wang, C. Schaaf, M.A. Bull, and R.R. Duchesne. 2022. Forest aboveground biomass in the southwestern United States from a MISR multi-angle index, 2000–2015. Remote Sensing of Environment. 275:112964. https://doi.org/10.1016/j.rse.2022.112964 | LiDAR-Derived Aboveground Biomass and Uncertainty for California Forests, 2005-2014 |
| 2022 | Duren, R. and D. Gordon. 2022. Tackling unlit and inefficient gas flaring. Science. 377(6614):1486-1487. https://doi.org/10.1126/science.ade2315 | Global Gas Flare Survey by Infrared Imaging, VIIRS Nightfire, 2012-2019 |
| 2022 | Engström, J., P. Abbaszadeh, D. Keellings, P. Deb, and H. Moradkhani. 2022. Wildfires in the Arctic and tropical biomes: what is the relative role of climate?. Natural Hazards. https://doi.org/10.1007/s11069-022-05452-2 | Global Fire Atlas with Characteristics of Individual Fires, 2003-2016 |
| 2022 | Fernandez-Diaz, J.C., M. Velikova, and C.L. Glennie. 2022. Validation of ICESat-2 ATL08 Terrain and Canopy Height Retrievals in Tropical Mesoamerican Forests. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15:2956-2970. https://doi.org/10.1109/JSTARS.2022.3163208 | CMS: GLAS LiDAR-derived Global Estimates of Forest Canopy Height, 2004-2008 |
| 2022 | Ghosh, T., W.W. Ingwersen, M. Jamieson, T.R. Hawkins, S. Cashman, T. Hottle, A. Carpenter, and K. Richa. 2022. Derivation and assessment of regional electricity generation emission factors in the USA. The International Journal of Life Cycle Assessment. 28(2):156-171. https://doi.org/10.1007/s11367-022-02113-1 | CMS: CO2 Emissions from Fossil Fuels Combustion, ACES Inventory for Northeastern USA |
| 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 | Hysa, A., Z. Teqja, A. Bani, Z. Libohova, and A. Cerda. 2022. Assessing wildfire vulnerability of vegetated serpentine soils in the Balkan peninsula. Journal for Nature Conservation. 68:126217. https://doi.org/10.1016/j.jnc.2022.126217 | Global Fire Atlas with Characteristics of Individual Fires, 2003-2016 |
| 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 | Ma, Y., J. Zhou, S. Liu, W. Zhang, Y. Zhang, Z. Xu, L. Song, and H. Zhao. 2022. Estimation of evapotranspiration using all-weather land surface temperature and variational trends with warming temperatures for the River Source Region in Southwest China. Journal of Hydrology. 613:128346. https://doi.org/10.1016/j.jhydrol.2022.128346 | CMS: GLAS LiDAR-derived Global Estimates of Forest Canopy Height, 2004-2008 |
| 2022 | Parker, R.J., C. Wilson, E. Comyn-Platt, G. Hayman, T.R. Marthews, A.A. Bloom, M.F. Lunt, N. Gedney, S.J. Dadson, J. McNorton, N. Humpage, H. Boesch, M.P. Chipperfield, P.I. Palmer, and D. Yamazaki. 2022. Evaluation of wetland CH4 in the Joint UK Land Environment Simulator (JULES) land surface model using satellite observations. Biogeosciences. 19(24):5779-5805. https://doi.org/10.5194/bg-19-5779-2022 | CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.0) |
| 2022 | Parra, A., and J.A. Greenberg. 2022. Estimation of Fractional Plant Lifeform Cover for the Conterminous United States Using Landsat Imagery and Airborne LiDAR. IEEE Transactions on Geoscience and Remote Sensing. 60:14-Jan. https://doi.org/10.1109/TGRS.2022.3199156 | CMS: Vegetative Lifeform Cover from Landsat SR for CONUS, 1984-2018 |
| 2022 | Ponette-González, A.G., D. Chen, E. Elderbrock, J.E. Rindy, T.E. Barrett, B.W. Luce, J. Lee, Y. Ko, and K.C. Weathers. 2022. Urban edge trees: Urban form and meteorology drive elemental carbon deposition to canopies and soils. Environmental Pollution. 314:120197. https://doi.org/10.1016/j.envpol.2022.120197 | DARTE Annual On-road CO2 Emissions on a 1-km Grid, Conterminous USA, V2, 1980-2017 |
| 2022 | Schmidt, S., J. Kinne, S. Lautenbach, T. Blaschke, D. Lenz, and B. Resch. 2022. Greenwashing in the US metal industry? A novel approach combining SO2 concentrations from satellite data, a plant-level firm database and web text mining. Science of The Total Environment. 835:155512. https://doi.org/10.1016/j.scitotenv.2022.155512 | DARTE Annual On-road CO2 Emissions on a 1-km Grid, Conterminous USA, V2, 1980-2017 |
| 2022 | Sloan, S., B. Locatelli, N. Andela, M.E. Cattau, D. Gaveau, and L. Tacconi. 2022. Declining severe fire activity on managed lands in Equatorial Asia. Communications Earth & Environment. 3(1). https://doi.org/10.1038/s43247-022-00522-6 | Global Fire Atlas with Characteristics of Individual Fires, 2003-2016 |
| 2022 | Sloan, S., B. Locatelli, N. Andela, M.E. Cattau, D. Gaveau, and L. Tacconi. 2022. Declining severe fire activity on managed lands in Equatorial Asia. Communications Earth & Environment. 3(1). https://doi.org/10.1038/s43247-022-00522-6 | Annual Burned Area from Landsat, Mawas, Central Kalimantan, Indonesia, 1997-2015 |
| 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 |
| 2022 | Yu, Y., S. Saatchi, G.M. Domke, B. Walters, C. Woodall, S. Ganguly, S. Li, S. Kalia, T. Park, R. Nemani, S.C. Hagen, and L. Melendy. 2022. Making the US national forest inventory spatially contiguous and temporally consistent. Environmental Research Letters. 17(6):65002. https://doi.org/10.1088/1748-9326/ac6b47 | Carbon Pools across CONUS using the MaxEnt Model, 2005, 2010, 2015, 2016, and 2017 |
| 2022 | Zhang, Y. and J. Liu. 2022. Estimating forest aboveground biomass using temporal features extracted from multiple satellite data products and ensemble machine learning algorithm. Geocarto International. 38(1). https://doi.org/10.1080/10106049.2022.2153930 | CMS: LiDAR-derived Biomass, Canopy Height and Cover, Sonoma County, California, 2013 |
| 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 | Cooper, S., A. Okujeni, D. Pflugmacher, S. van der Linden, and P. Hostert. 2021. Combining simulated hyperspectral EnMAP and Landsat time series for forest aboveground biomass mapping. International Journal of Applied Earth Observation and Geoinformation. 98:102307. https://doi.org/10.1016/j.jag.2021.102307 | CMS: LiDAR-derived Biomass, Canopy Height and Cover, Sonoma County, California, 2013 |
| 2021 | Cooper, S., A. Okujeni, D. Pflugmacher, S. van der Linden, and P. Hostert. 2021. Combining simulated hyperspectral EnMAP and Landsat time series for forest aboveground biomass mapping. International Journal of Applied Earth Observation and Geoinformation. 98:102307. https://doi.org/10.1016/j.jag.2021.102307 | CMS: LiDAR Biomass Improved for High Biomass Forests, Sonoma County, CA, USA, 2013 |
| 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 | Peereman, J., J.A. Hogan, and T. Lin. 2021. Disturbance frequency, intensity and forest structure modulate cyclone?induced changes in mangrove forest canopy cover. Global Ecology and Biogeography. 31(1):37-50. https://doi.org/10.1111/geb.13407 | Global Mangrove Distribution, Aboveground Biomass, and Canopy Height |
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| 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 |
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| 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 |
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| 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 | Zhang, Y. and S. Liang. 2020. Fusion of Multiple Gridded Biomass Datasets for Generating a Global Forest Aboveground Biomass Map. Remote Sensing. 12(16):2559. https://doi.org/10.3390/RS12162559 | CMS: LiDAR-derived Estimates of Aboveground Biomass at Four Forested Sites, USA |
| 2020 | Zhang, Y. and S. Liang. 2020. Fusion of Multiple Gridded Biomass Datasets for Generating a Global Forest Aboveground Biomass Map. Remote Sensing. 12(16):2559. https://doi.org/10.3390/RS12162559 | CMS: Aboveground Biomass from Penobscot Experimental Forest, Maine, 2012 |
| 2020 | Zhang, Y. and S. Liang. 2020. Fusion of Multiple Gridded Biomass Datasets for Generating a Global Forest Aboveground Biomass Map. Remote Sensing. 12(16):2559. https://doi.org/10.3390/RS12162559 | CMS: LiDAR-derived Aboveground Biomass, Canopy Height and Cover for Maryland, 2011 |
| 2020 | Zhang, Y. and S. Liang. 2020. Fusion of Multiple Gridded Biomass Datasets for Generating a Global Forest Aboveground Biomass Map. Remote Sensing. 12(16):2559. https://doi.org/10.3390/RS12162559 | CMS: Aboveground Biomass for Mangrove Forest, Zambezi River Delta, Mozambique |
| 2020 | Zhang, Y. and S. Liang. 2020. Fusion of Multiple Gridded Biomass Datasets for Generating a Global Forest Aboveground Biomass Map. Remote Sensing. 12(16):2559. https://doi.org/10.3390/RS12162559 | CMS: LiDAR-derived Biomass, Canopy Height and Cover, Sonoma County, California, 2013 |
| 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 | Jensen, D., K.C. Cavanaugh, M. Simard, G.S. Okin, E. Castañeda-Moya, A. McCall, and R.R. Twilley. 2019. Integrating Imaging Spectrometer and Synthetic Aperture Radar Data for Estimating Wetland Vegetation Aboveground Biomass in Coastal Louisiana. Remote Sensing. 11(21):2533. https://doi.org/10.3390/rs11212533 | Aboveground Biomass High-Resolution Maps for Selected US Tidal Marshes, 2015 |
| 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 |