The following 164 publications cited the Carbon Monitoring System (CMS) project.
| Year | Citation | Dataset or Project |
|---|---|---|
| 2024 | Braden, D., P. Mondal, T. Park, J.A. Alanís de la Rosa, M.I. Aldrete Leal, R.A. Cuenca Lara, R. Mayorga Saucedo, F. Paz, V.M. Salas-Aguilar, M.d.L.Á. Soriano-Luna, and R. Vargas. 2024. Estimating forest extent across Mexico. Environmental Research Letters. 19(1):014083. https://doi.org/10.1088/1748-9326/ad193e | Tree Cover Estimates at 30 m Resolution for Mexico, 2016-2018 |
| 2024 | Braden, D., P. Mondal, T. Park, J.A. Alanís de la Rosa, M.I. Aldrete Leal, R.A. Cuenca Lara, R. Mayorga Saucedo, F. Paz, V.M. Salas-Aguilar, M.d.L.Á. Soriano-Luna, and R. Vargas. 2024. Estimating forest extent across Mexico. Environmental Research Letters. 19(1):014083. https://doi.org/10.1088/1748-9326/ad193e | Satellite-Derived Forest Extent Likelihood Map for Mexico |
| 2024 | Butler, R.A., M. Pape?, J.T. Vogt, D.J. Paulsen, C. Crowe, and R.T. Trout Fryxell. 2024. Human risk to tick encounters in the southeastern United States estimated with spatial distribution modeling. PLOS Neglected Tropical Diseases. 18(2):e0011919. https://doi.org/10.1371/journal.pntd.0011919 | Carbon Pools across CONUS using the MaxEnt Model, 2005, 2010, 2015, 2016, and 2017 |
| 2024 | Cassaway, A.F., R.R. Twilley, A.S. Rovai, and G.A. Snedden. 2024. Patterns of marsh surface accretion rates along salinity and hydroperiod gradients between active and inactive coastal deltaic floodplains. Estuarine, Coastal and Shelf Science. 301:108757. https://doi.org/10.1016/j.ecss.2024.108757 | Relative Tidal Marsh Elevation Maps with Uncertainty for Conterminous USA, 2010 |
| 2024 | Gong, M., K. Yu, Z. Xu, M. Xu, and S. Qu. 2024. Unveiling complementarities between national sustainable development strategies through network analysis. Journal of Environmental Management. 350:119531. https://doi.org/10.1016/j.jenvman.2023.119531 | Global Mangrove Loss Extent, Land Cover Change, and Loss Drivers, 2000-2016 |
| 2024 | Mortelmans, J., A. Felsberg, G.J.M. De Lannoy, S. Veraverbeke, R.D. Field, N. Andela, and M. Bechtold. 2024. Improving the fire weather index system for peatlands using peat-specific hydrological input data. Natural Hazards and Earth System Sciences. 24(2):445-464. https://doi.org/10.5194/nhess-24-445-2024 | Global Fire Atlas with Characteristics of Individual Fires, 2003-2016 |
| 2024 | Rahman, A. Ceanturi, J.W. Tuahatu, F.F. Lokollo, J. Supusepa, M. Hulopi, Y.I. Permatahati, Y.A. Lewerissa, and Y. Wardiatno. 2024. Mangrove ecosystems in Southeast Asia region: Mangrove extent, blue carbon potential and CO2 emissions in 1996–2020. Science of The Total Environment. 915:170052. https://doi.org/10.1016/j.scitotenv.2024.170052 | Global Mangrove Distribution, Aboveground Biomass, and Canopy Height |
| 2024 | Shannon, E.S., A.O. Finley, D.J. Hayes, S.N. Noralez, A.R. Weiskittel, B.D. Cook, and C. Babcock. 2024. Quantifying and correcting geolocation error in spaceborne LiDAR forest canopy observations using high spatial accuracy data: A Bayesian model approach. Environmetrics. https://doi.org/10.1002/env.2840 | Disturbance History and Forest Biomass from Landsat for Six US Sites, 1985-2014 |
| 2024 | Sherwin, E.D., J.S. Rutherford, Z. Zhang, Y. Chen, E.B. Wetherley, P.V. Yakovlev, E.S.F. Berman, B.B. Jones, D.H. Cusworth, A.K. Thorpe, A.K. Ayasse, R.M. Duren, and A.R. Brandt. 2024. US oil and gas system emissions from nearly one million aerial site measurements. Nature. 627(8003):328-334. https://doi.org/10.1038/s41586-024-07117-5 | Methane Plumes Derived from AVIRIS-NG over Point Sources across California, 2016-2017 |
| 2024 | Tolan, J., H. Yang, B. Nosarzewski, G. Couairon, H.V. Vo, J. Brandt, J. Spore, S. Majumdar, D. Haziza, J. Vamaraju, T. Moutakanni, P. Bojanowski, T. Johns, B. White, T. Tiecke, and C. Couprie. 2024. Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on aerial lidar. Remote Sensing of Environment. 300:113888. https://doi.org/10.1016/j.rse.2023.113888 | LiDAR Surveys over Selected Forest Research Sites, Brazilian Amazon, 2008-2018 |
| 2024 | Wu, G., K. Guan, H. Kimm, G. Miao, X. Yang, and C. Jiang. 2024. Ground far-red sun-induced chlorophyll fluorescence and vegetation indices in the US Midwestern agroecosystems. Scientific Data. 11(1). https://doi.org/10.1038/s41597-024-03004-w | SIF and Vegetation Indices in the US Midwestern Agroecosystems, 2016-2021 |
| 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 | Arnold, F., M. Piazza, K. Wynn, P. Htut, and S. Tun. 2023. Mangrove biomass and carbon estimates for REDD+ from national forest inventory in two regions of Myanmar. International Forestry Review. 25(3):283-299. https://doi.org/10.1505/146554823837586285 | 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, Y., J. Hall, D. van Wees, N. Andela, S. Hantson, L. Giglio, G.R. van der Werf, D.C. Morton, and J.T. Randerson. 2023. Multi-decadal trends and variability in burned area from the fifth version of the Global Fire Emissions Database (GFED5). Earth System Science Data. 15(11):5227-5259. https://doi.org/10.5194/essd-15-5227-2023 | Annual Burned Area from Landsat, Mawas, Central Kalimantan, Indonesia, 1997-2015 |
| 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 | Dai, Z., C.C. Trettin, A.J. Burton, W. Tang, and M.M. Mangora. 2023. Estimated mangrove carbon stocks and fluxes to inform MRV for REDD+ using a process-based model. Estuarine, Coastal and Shelf Science. 294:108512. https://doi.org/10.1016/j.ecss.2023.108512 | Global Mangrove Distribution, Aboveground Biomass, and Canopy Height |
| 2023 | Dix, B., M. Li, E. Roosenbrand, C. Francoeur, S.S. Brown, J.B. Gilman, T.F. Hanisco, F. Keutsch, A. Koss, B.M. Lerner, J. Peischl, J.M. Roberts, T.B. Ryerson, J.M. St. Clair, P.R. Veres, C. Warneke, R.J. Wild, G.M. Wolfe, B. Yuan, J.P. Veefkind, P.F. Levelt, B.C. McDonald, and J. de Gouw. 2023. Sources of Formaldehyde in U.S. Oil and Gas Production Regions. ACS Earth and Space Chemistry. 7(12):2444-2457. https://doi.org/10.1021/acsearthspacechem.3c00203 | Global Gas Flare Survey by Infrared Imaging, VIIRS Nightfire, 2012-2019 |
| 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 | Glagolev, V. and A.M. Zubareva. 2023. Forecasting the anthropogenic fire hazard of vegetation according tosatellite images. 29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. https://doi.org/10.1117/12.2690064 | Global Fire Atlas with Characteristics of Individual Fires, 2003-2016 |
| 2023 | Hashimoto, S., A. Ito, and K. Nishina. 2023. Divergent data-driven estimates of global soil respiration. Communications Earth & Environment. 4(1). https://doi.org/10.1038/s43247-023-01136-2 | Global Gridded 1-km Annual Soil Respiration and Uncertainty Derived from SRDB V3 |
| 2023 | Hashimoto, S., A. Ito, and K. Nishina. 2023. Divergent data-driven estimates of global soil respiration. Communications Earth & Environment. 4(1). https://doi.org/10.1038/s43247-023-01136-2 | Global Gridded 1-km Soil and Soil Heterotrophic Respiration Derived from SRDB v5 |
| 2023 | Holmquist, J.R., M. Eagle, R.L. Molinari, S.K. Nick, L.C. Stachowicz, and K.D. Kroeger. 2023. Mapping methane reduction potential of tidal wetland restoration in the United States. Communications Earth & Environment. 4(1). https://doi.org/10.1038/s43247-023-00988-y | Relative Tidal Marsh Elevation Maps with Uncertainty for Conterminous USA, 2010 |
| 2023 | Holmquist, J.R., M. Eagle, R.L. Molinari, S.K. Nick, L.C. Stachowicz, and K.D. Kroeger. 2023. Mapping methane reduction potential of tidal wetland restoration in the United States. Communications Earth & Environment. 4(1). https://doi.org/10.1038/s43247-023-00988-y | Blue Carbon-based Natural Climate Solutions, Priority Maps for the U.S., 2006-2011 |
| 2023 | Huang, C., C. Sun, M. Nguyen, Q. Wu, C. He, H. Yang, P. Tu, and S. Hong. 2023. Spatio-temporal dynamics of terrestrial Net ecosystem productivity in the ASEAN from 2001 to 2020 based on remote sensing and improved CASA model. Ecological Indicators. 154:110920. https://doi.org/10.1016/j.ecolind.2023.110920 | Forest Carbon Stocks and Fluxes After Disturbance, Southeastern USA, 1990-2010 |
| 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 | McNicol, G., E. Fluet?Chouinard, Z. Ouyang, S. Knox, Z. Zhang, T. Aalto, S. Bansal, K. Chang, M. Chen, K. Delwiche, S. Feron, M. Goeckede, J. Liu, A. Malhotra, J.R. Melton, W. Riley, R. Vargas, K. Yuan, Q. Ying, Q. Zhu, P. Alekseychik, M. Aurela, D.P. Billesbach, D.I. Campbell, J. Chen, H. Chu, A.R. Desai, E. Euskirchen, J. Goodrich, T. Griffis, M. Helbig, T. Hirano, H. Iwata, G. Jurasinski, J. King, F. Koebsch, R. Kolka, K. Krauss, A. Lohila, I. Mammarella, M. Nilson, A. Noormets, W. Oechel, M. Peichl, T. Sachs, A. Sakabe, C. Schulze, O. Sonnentag, R.C. Sullivan, E. Tuittila, M. Ueyama, T. Vesala, E. Ward, C. Wille, G.X. Wong, D. Zona, L. Windham?Myers, B. Poulter, and R.B. Jackson. 2023. Upscaling Wetland Methane Emissions From the FLUXNET?CH4 Eddy Covariance Network (UpCH4 v1.0): Model Development, Network Assessment, and Budget Comparison. AGU Advances. 4(5). https://doi.org/10.1029/2023AV000956 | Global Wetland Methane Emissions derived from FLUXNET and the UpCH4 Model, 2001-2018 |
| 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 | Nathaniel, J., G. Nyirjesy, C.D. Watson, C.M. Albrecht, and L.J. Klein. 2023. Above Ground Carbon Biomass Estimate with Physics-Informed Deep Network. IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. https://doi.org/10.1109/IGARSS52108.2023.10282838 | LiDAR Derived Biomass, Canopy Height, and Cover for New England Region, USA, 2015 |
| 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 | Ometto, J.P., E.B. Gorgens, F.R. de Souza Pereira, L. Sato, M.L.R. de Assis, R. Cantinho, M. Longo, A.D. Jacon, and M. Keller. 2023. A biomass map of the Brazilian Amazon from multisource remote sensing. Scientific Data. 10(1). https://doi.org/10.1038/s41597-023-02575-4 | LiDAR Surveys over Selected Forest Research Sites, Brazilian Amazon, 2008-2018 |
| 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 | Qiu, L., L. Fan, L. Sun, Z. Zeng, L. Feng, C. Yue, and C. Zheng. 2023. Higher burn severity stimulates postfire vegetation and carbon recovery in California. Agricultural and Forest Meteorology. 342:109750. https://doi.org/10.1016/j.agrformet.2023.109750 | Annual wildland fire emissions (WFEIS v0.5) for Conterminous US and Alaska, 2001-2013 |
| 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 | Roten, D., L. Wells, D. Crawl, R.A. Parsons, A. Marcozzi, R.R. Linn, K. Hiers, and I. Altintas. 2023. TrueTrees: A Scalable Workflow for the Integration of Airborne LiDAR Scanning Data into Fuel Models for Prescribed Fire Simulations. 2023 IEEE 19th International Conference on e-Science (e-Science). https://doi.org/10.1109/e-Science58273.2023.10254923 | LiDAR-Derived Aboveground Biomass and Uncertainty for California Forests, 2005-2014 |
| 2023 | Schuit, B.J., J.D. Maasakkers, P. Bijl, G. Mahapatra, A. van den Berg, S. Pandey, A. Lorente, T. Borsdorff, S. Houweling, D.J. Varon, J. McKeever, D. Jervis, M. Girard, I. Irakulis-Loitxate, J. Gorroño, L. Guanter, D.H. Cusworth, and I. Aben. 2023. Automated detection and monitoring of methane super-emitters using satellite data. Atmospheric Chemistry and Physics. 23(16):9071-9098. https://doi.org/10.5194/acp-23-9071-2023 | CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.3.1) |
| 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 |
| 2023 | Zeng, J., T. Zhou, Y. Xu, Q. Lin, E. Tan, Y. Zhang, X. Wu, J. Zhang, and X. Liu. 2023. The fusion of multiple scale data indicates that the carbon sink function of the Qinghai-Tibet Plateau is substantial. Carbon Balance and Management. 18(1). https://doi.org/10.1186/s13021-023-00239-9 | Global Gridded 1-km Annual Soil Respiration and Uncertainty Derived from SRDB V3 |
| 2023 | Zeng, J., T. Zhou, Y. Xu, Q. Lin, E. Tan, Y. Zhang, X. Wu, J. Zhang, and X. Liu. 2023. The fusion of multiple scale data indicates that the carbon sink function of the Qinghai-Tibet Plateau is substantial. Carbon Balance and Management. 18(1). https://doi.org/10.1186/s13021-023-00239-9 | Global Gridded 1-km Soil and Soil Heterotrophic Respiration Derived from SRDB v5 |
| 2023 | Zeng, Y., D. Hao, T. Park, P. Zhu, A. Huete, R. Myneni, Y. Knyazikhin, J. Qi, R.R. Nemani, F. Li, J. Huang, Y. Gao, B. Li, F. Ji, P. Köhler, C. Frankenberg, J.A. Berry, and M. Chen. 2023. Structural complexity biases vegetation greenness measures. Nature Ecology & Evolution. 7(11):1790-1798. https://doi.org/10.1038/s41559-023-02187-6 | LiDAR Surveys over Selected Forest Research Sites, Brazilian Amazon, 2008-2018 |
| 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 |
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| 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 |
| 2023 | Balasus, N., D.J. Jacob, A. Lorente, J.D. Maasakkers, R.J. Parker, H. Boesch, Z. Chen, M.M. Kelp, H. Nesser, and D.J. Varon. 2023. A blended TROPOMI+GOSAT satellite data product for atmospheric methane using machine learning to correct retrieval biases. Atmospheric Measurement Techniques. 16(16):3787-3807. https://doi.org/10.5194/amt-16-3787-2023 | Carbon Monitoring System |
| 2023 | Vargas, R. and V.H. Le. 2023. The paradox of assessing greenhouse gases from soils for nature-based solutions. Biogeosciences. 20(1):15-26. https://doi.org/10.5194/bg-20-15-2023 | Carbon Monitoring System |
| 2023 | Varon, D.J., D.J. Jacob, B. Hmiel, R. Gautam, D.R. Lyon, M. Omara, M. Sulprizio, L. Shen, D. Pendergrass, H. Nesser, Z. Qu, Z.R. Barkley, N.L. Miles, S.J. Richardson, K.J. Davis, S. Pandey, X. Lu, A. Lorente, T. Borsdorff, J.D. Maasakkers, and I. Aben. 2023. Continuous weekly monitoring of methane emissions from the Permian Basin by inversion of TROPOMI satellite observations. Atmospheric Chemistry and Physics. 23(13):7503-7520. https://doi.org/10.5194/acp-23-7503-2023 | Carbon Monitoring System |