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Publications Citing Carbon Monitoring System (CMS)

The following 176 publications cited the Carbon Monitoring System (CMS) project.

YearCitationDataset or Project
2024Braden, 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/ad193eTree Cover Estimates at 30 m Resolution for Mexico, 2016-2018
2024Braden, 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/ad193eSatellite-Derived Forest Extent Likelihood Map for Mexico
2024Burns, P., C.R. Hakkenberg, and S.J. Goetz. 2024. Multi-resolution gridded maps of vegetation structure from GEDI. Scientific Data. 11(1). https://doi.org/10.1038/s41597-024-03668-4CMS: LiDAR-derived Biomass, Canopy Height and Cover, Sonoma County, California, 2013
2024Burns, P., C.R. Hakkenberg, and S.J. Goetz. 2024. Multi-resolution gridded maps of vegetation structure from GEDI. Scientific Data. 11(1). https://doi.org/10.1038/s41597-024-03668-4CMS: LiDAR-derived Canopy Height, Elevation for Sites in Kalimantan, Indonesia, 2014
2024Butler, R.A., M. PapeÅŸ, 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.0011919Carbon Pools across CONUS using the MaxEnt Model, 2005, 2010, 2015, 2016, and 2017
2024Cassaway, 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.2024.108757Relative Tidal Marsh Elevation Maps with Uncertainty for Conterminous USA, 2010
2024F․ Morello R․ Silva, T. 2024. The effect of fire-induced forest-degradation on rainfall: A causal inference analysis of the case of the Brazilian Amazon. World Development Sustainability. 5:100162. https://doi.org/10.1016/j.wds.2024.100162Global Fire Atlas with Characteristics of Individual Fires, 2003-2016
2024Gong, 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.2023.119531Global Mangrove Loss Extent, Land Cover Change, and Loss Drivers, 2000-2016
2024Gong, M., N. Teller, E.J. Golebie, M. Aczel, Z. Jiang, J. Van Zeghbroeck, and J. Liu. 2024. Unveiling complementarities between mangrove restoration and global sustainable development goals. Journal of Cleaner Production. 474:143524. https://doi.org/10.1016/j.jclepro.2024.143524Global Mangrove Loss Extent, Land Cover Change, and Loss Drivers, 2000-2016
2024He, L., J.L.M. Rodrigues, M.A. Mayes, C. Lai, D.A. Lipson, and X. Xu. 2024. Modeling microbial carbon fluxes and stocks in global soils from 1901 to 2016. Biogeosciences. 21(9):2313-2333. https://doi.org/10.5194/bg-21-2313-2024Global Gridded 1-km Annual Soil Respiration and Uncertainty Derived from SRDB V3
2024Jung, M.C., T. Wang, M. Kang, K. Dyson, E.B. Dawwas, and M. Alberti. 2024. Urban landscape affects scaling of transportation carbon emissions across geographic scales. Sustainable Cities and Society. 113:105656. https://doi.org/10.1016/j.scs.2024.105656DARTE Annual On-road CO2 Emissions on a 1-km Grid, Conterminous USA, V2, 1980-2017
2024Maes, S.L., J. Dietrich, G. Midolo, S. Schwieger, M. Kummu, V. Vandvik, R. Aerts, I.H.J. Althuizen, C. Biasi, R.G. Björk, H. Böhner, M. Carbognani, G. Chiari, C.T. Christiansen, K.E. Clemmensen, E.J. Cooper, J.H.C. Cornelissen, B. Elberling, P. Faubert, N. Fetcher, T.G.W. Forte, J. Gaudard, K. Gavazov, Z. Guan, J. Guðmundsson, R. Gya, S. Hallin, B.B. Hansen, S.V. Haugum, J. He, C. Hicks Pries, M.J. Hovenden, M. Jalava, I.S. Jónsdóttir, J. Juhanson, J.Y. Jung, E. Kaarlejärvi, M.J. Kwon, R.E. Lamprecht, M. Le Moullec, H. Lee, M.E. Marushchak, A. Michelsen, T.M. Munir, E.M. Myrsky, C.S. Nielsen, M. Nyberg, J. Olofsson, H. Óskarsson, T.C. Parker, E.P. Pedersen, M. Petit Bon, A. Petraglia, K. Raundrup, N.M.R. Ravn, R. Rinnan, H. Rodenhizer, I. Ryde, N.M. Schmidt, E.A.G. Schuur, S. Sjögersten, S. Stark, M. Strack, J. Tang, A. Tolvanen, J.P. Töpper, M.K. Väisänen, R.S.P. van Logtestijn, C. Voigt, J. Walz, J.T. Weedon, Y. Yang, H. Ylänne, M.P. Björkman, J.M. Sarneel, and E. Dorrepaal. 2024. Environmental drivers of increased ecosystem respiration in a warming tundra. Nature. 629(8010):105-113. https://doi.org/10.1038/s41586-024-07274-7Global Gridded 1-km Annual Soil Respiration and Uncertainty Derived from SRDB V3
2024Mortelmans, 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-24-445-2024Global Fire Atlas with Characteristics of Individual Fires, 2003-2016
2024Olson, L.E., J.D. Sauder, P.A. Fekety, J.D. Golding, C.W. Lewis, R.B. Sadak, and M.K. Schwartz. 2024. Fishers (Pekania pennanti) are forest structure specialists when resting and generalists when moving: behavior influences resource selection in a northern Rocky Mountain fisher population. Movement Ecology. 12(1). https://doi.org/10.1186/s40462-024-00487-5LiDAR Derived Forest Aboveground Biomass Maps, Northwestern USA, 2002-2016
2024Pinakana, S.D., A.U. Raysoni, A. Sayeed, J.L. Gonzalez, O. Temby, D. Wladyka, K. Sepielak, and P. Gupta. 2024. Review of agricultural biomass burning and its impact on air quality in the continental United States of America. Environmental Advances. 16:100546. https://doi.org/10.1016/j.envadv.2024.100546Annual wildland fire emissions (WFEIS v0.5) for Conterminous US and Alaska, 2001-2013
2024Rahman, 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.2024.170052Global Mangrove Distribution, Aboveground Biomass, and Canopy Height
2024Shannon, 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.2840Disturbance History and Forest Biomass from Landsat for Six US Sites, 1985-2014
2024Sherwin, 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/s41586-024-07117-5Methane Plumes Derived from AVIRIS-NG over Point Sources across California, 2016-2017
2024Smith, J.E., M. Billmire, N.H. French, and G.M. Domke. 2024. Application of the wildland fire emissions inventory system to estimate fire emissions on forest lands of the United States. Carbon Balance and Management. 19(1). https://doi.org/10.1186/s13021-024-00274-0Annual wildland fire emissions (WFEIS v0.5) for Conterminous US and Alaska, 2001-2013
2024Sothe, C., R. Mccarthy, and C.B. Anderson. 2024. An Unsupervised Approach to Build a Training Dataset for Individual Tree Crown Delineation Using Airborne Lidar and Field Observations. IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. 5310-5315. https://doi.org/10.1109/IGARSS53475.2024.10642491CMS: Forest Inventory and Biophysical Measurements, Para, Brazil, 2012-2014
2024Tolan, 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.2023.113888LiDAR Surveys over Selected Forest Research Sites, Brazilian Amazon, 2008-2018
2024Wu, 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-wSIF and Vegetation Indices in the US Midwestern Agroecosystems, 2016-2021
2024de Souza de Lima, A., F. Cassalho, T.W. Miesse, M. Henke, M.R. Canick, and C.M. Ferreira. 2024. Assessing the potential long-term effects of sea-level rise on salt marsh’s coastal protective capacity under different climate pathway scenarios. Environmental Monitoring and Assessment. 196(9). https://doi.org/10.1007/s10661-024-12961-zLiDAR Derived Biomass, Canopy Height and Cover for Tri-State (MD, PA, DE) Region, V2
2023Aken, 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.6.1.1228Global Mangrove Distribution, Aboveground Biomass, and Canopy Height
2023Arnold, 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/10.1505/146554823837586285Global Mangrove Distribution, Aboveground Biomass, and Canopy Height
2023Baloloy, 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_12Global Mangrove Distribution, Aboveground Biomass, and Canopy Height
2023Bansal, 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.ade1112CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.3.1)
2023Chen, 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-15-5227-2023Annual Burned Area from Landsat, Mawas, Central Kalimantan, Indonesia, 1997-2015
2023Chen, 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-23-5945-2023CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.3.1)
2023Dai, 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.2023.108512Global Mangrove Distribution, Aboveground Biomass, and Canopy Height
2023Dix, 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.3c00203Global Gas Flare Survey by Infrared Imaging, VIIRS Nightfire, 2012-2019
2023East, 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/rs15030696LiDAR Surveys over Selected Forest Research Sites, Brazilian Amazon, 2008-2018
2023Fan, 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/10.1029/2023GB007727CMS: Forest Carbon Stocks, Emissions, and Net Flux for the Conterminous US: 2005-2010
2023Glagolev, 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/10.1117/12.2690064Global Fire Atlas with Characteristics of Individual Fires, 2003-2016
2023Hashimoto, 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/s43247-023-01136-2Global Gridded 1-km Annual Soil Respiration and Uncertainty Derived from SRDB V3
2023Hashimoto, 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/s43247-023-01136-2Global Gridded 1-km Soil and Soil Heterotrophic Respiration Derived from SRDB v5
2023Holmquist, 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-yRelative Tidal Marsh Elevation Maps with Uncertainty for Conterminous USA, 2010
2023Holmquist, 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-yBlue Carbon-based Natural Climate Solutions, Priority Maps for the U.S., 2006-2011
2023Huang, 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.2023.110920Forest Carbon Stocks and Fluxes After Disturbance, Southeastern USA, 1990-2010
2023Li, 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/atmos14020388CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.3.1)
2023May, 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.2022.113420CMS: Forest Aboveground Biomass from FIA Plots across the Conterminous USA, 2009-2019
2023McNicol, G., E. Fluetâ€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. Windhamâ€Myers, B. Poulter, and R.B. Jackson. 2023. Upscaling Wetland Methane Emissions From the FLUXNETâ€CH4 Eddy Covariance Network (UpCH4 v1.0): Model Development, Network Assessment, and Budget Comparison. AGU Advances. 4(5). https://doi.org/10.1029/2023AV000956Global Wetland Methane Emissions derived from FLUXNET and the UpCH4 Model, 2001-2018
2023Melo, 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/acba31Global Mangrove Distribution, Aboveground Biomass, and Canopy Height
2023Melo, 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/acba31Aboveground Biomass Change for Amazon Basin, Mexico, and Pantropical Belt, 2003-2016
2023Nathaniel, 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/IGARSS52108.2023.10282838LiDAR Derived Biomass, Canopy Height, and Cover for New England Region, USA, 2015
2023Ochiai, 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.2023.106489Global Mangrove Distribution, Aboveground Biomass, and Canopy Height
2023Ohenhen, 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/s41467-023-37853-7Relative Tidal Marsh Elevation Maps with Uncertainty for Conterminous USA, 2010
2023Ometto, 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/s41597-023-02575-4LiDAR Surveys over Selected Forest Research Sites, Brazilian Amazon, 2008-2018
2023Pais, 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/s43247-023-00881-8Global Fire Atlas with Characteristics of Individual Fires, 2003-2016
2023Qiu, 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.2023.109750Annual wildland fire emissions (WFEIS v0.5) for Conterminous US and Alaska, 2001-2013
2023Radabaugh, 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/s12237-023-01217-7Global Mangrove Distribution, Aboveground Biomass, and Canopy Height
2023Roten, 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-Science58273.2023.10254923LiDAR-Derived Aboveground Biomass and Uncertainty for California Forests, 2005-2014
2023Schuit, 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-23-9071-2023CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.3.1)
2023Scott, 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.2023.109584Greenness Trends and Carbon Stocks of Mangrove Forests Across Mexico, 2001-2015
2023Woltz, 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/rs15061697Relative Tidal Marsh Elevation Maps with Uncertainty for Conterminous USA, 2010
2023Zeng, 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/s13021-023-00239-9Global Gridded 1-km Annual Soil Respiration and Uncertainty Derived from SRDB V3
2023Zeng, 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/s13021-023-00239-9Global Gridded 1-km Soil and Soil Heterotrophic Respiration Derived from SRDB v5
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