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Publications Citing Carbon Monitoring System (CMS)

The following 46 publications cited the Carbon Monitoring System (CMS) project.

YearCitationDataset or Project
2020Girolamo-Neto, C.D., L.Y. Sato, I.D. Sanches, I.C.O. Silva, J.C.S. Rocha, and C.A. Almeida. 2020. OBJECT BASED IMAGE ANALYSIS AND TEXTURE FEATURES FOR PASTURE CLASSIFICATION IN BRAZILIAN SAVANNAH. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. V-3-2020:453-460. https://doi.org/10.5194/isprs-annals-V-3-2020-453-2020CMS: LiDAR-derived Biomass, Canopy Height and Cover, Sonoma County, California, 2013
2020Liu, Y., M. Kumar, G.G. Katul, X. Feng, and A.G. Konings. 2020. Plant hydraulics accentuates the effect of atmospheric moisture stress on transpiration. Nature Climate Change. 10(7):691-695. https://doi.org/10.1038/s41558-020-0781-5CMS: GLAS LiDAR-derived Global Estimates of Forest Canopy Height, 2004-2008
2020Lowner, M.O., N.C. Bandelow, M. Gerke, F. Hillen, L. Klein, A. Schmidt, and T. Siefer. 2020. TOWARDS INNOVATIVE PARTICIPATION-ORIENTED PLANNING OF INFRASTRUCTURE MEASURES. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XLIII-B4-2020:55-61. https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-55-2020CMS: LiDAR-derived Biomass, Canopy Height and Cover, Sonoma County, California, 2013
2020Zhou, Y., C.A. Williams, T. Lauvaux, K.J. Davis, S. Feng, I. Baker, S. Denning, and Y. Wei. 2020. A Multiyear Gridded Data Ensemble of Surface Biogenic Carbon Fluxes for North America: Evaluation and Analysis of Results. Journal of Geophysical Research: Biogeosciences. 125(2):. https://doi.org/10.1029/2019JG005314CMS: Modeled Net Ecosystem Exchange at 3-hourly Time Steps, 2004-2010
2019Andela, N., D.C. Morton, L. Giglio, R. Paugam, Y. Chen, S. Hantson, G.R. van der Werf, and J.T. Randerson. 2019. The Global Fire Atlas of individual fire size, duration, speed and direction. Earth System Science Data. 11(2):529-552. https://doi.org/10.5194/essd-11-529-2019Global Fire Atlas with Characteristics of Individual Fires, 2003-2016
2019Huang, W., K. Dolan, A. Swatantran, K. Johnson, H. Tang, J. O'Neil-Dunne, R. Dubayah, and G. Hurtt. 2019. High-resolution mapping of aboveground biomass for forest carbon monitoring system in the Tri-State region of Maryland, Pennsylvania and Delaware, USA. Environmental Research Letters. 14(9):095002. https://doi.org/10.1088/1748-9326/ab2917CMS: LiDAR-derived Estimates of Aboveground Biomass at Four Forested Sites, USA
2019Huang, W., K. Dolan, A. Swatantran, K. Johnson, H. Tang, J. O'Neil-Dunne, R. Dubayah, and G. Hurtt. 2019. High-resolution mapping of aboveground biomass for forest carbon monitoring system in the Tri-State region of Maryland, Pennsylvania and Delaware, USA. Environmental Research Letters. 14(9):095002. https://doi.org/10.1088/1748-9326/ab2917CMS: LiDAR-derived Aboveground Biomass, Canopy Height and Cover for Maryland, 2011
2019Huang, W., K. Dolan, A. Swatantran, K. Johnson, H. Tang, J. O'Neil-Dunne, R. Dubayah, and G. Hurtt. 2019. High-resolution mapping of aboveground biomass for forest carbon monitoring system in the Tri-State region of Maryland, Pennsylvania and Delaware, USA. Environmental Research Letters. 14(9):095002. https://doi.org/10.1088/1748-9326/ab2917LiDAR Derived Biomass, Canopy Height and Cover for Tri-State (MD, PA, DE) Region, V2
2019Hurtt, G., M. Zhao, R. Sahajpal, A. Armstrong, R. Birdsey, E. Campbell, K. Dolan, R. Dubayah, J.P. Fisk, S. Flanagan, C. Huang, W. Huang, K. Johnson, R. Lamb, L. Ma, R. Marks, D. O'Leary, J. O'Neil-Dunne, A. Swatantran, and H. Tang. 2019. Beyond MRV: high-resolution forest carbon modeling for climate mitigation planning over Maryland, USA. Environmental Research Letters. 14(4):045013. https://doi.org/10.1088/1748-9326/ab0bbeCMS: LiDAR-derived Aboveground Biomass, Canopy Height and Cover for Maryland, 2011
2019Hurtt, G., M. Zhao, R. Sahajpal, A. Armstrong, R. Birdsey, E. Campbell, K. Dolan, R. Dubayah, J.P. Fisk, S. Flanagan, C. Huang, W. Huang, K. Johnson, R. Lamb, L. Ma, R. Marks, D. O'Leary, J. O'Neil-Dunne, A. Swatantran, and H. Tang. 2019. Beyond MRV: high-resolution forest carbon modeling for climate mitigation planning over Maryland, USA. Environmental Research Letters. 14(4):045013. https://doi.org/10.1088/1748-9326/ab0bbeForest Aboveground Biomass and Carbon Sequestration Potential for Maryland, USA
2019Ishizawa, M., D. Chan, D. Worthy, E. Chan, F. Vogel, and S. Maksyutov. 2019. Analysis of atmospheric CH<sub>4</sub> in Canadian Arctic and estimation of the regional CH<sub>4</sub> fluxes. Atmospheric Chemistry and Physics. 19(7):4637-4658. https://doi.org/10.5194/acp-19-4637-2019CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.0)
2019Lagomasino, D., T. Fatoyinbo, S. Lee, E. Feliciano, C. Trettin, A. Shapiro, and M.M. Mangora. 2019. Measuring mangrove carbon loss and gain in deltas. Environmental Research Letters. 14(2):025002. https://doi.org/10.1088/1748-9326/aaf0deCMS: Mangrove Canopy Characteristics and Land Cover Change, Tanzania, 1990-2014
2019Peltola, O., T. Vesala, Y. Gao, O. Raty, P. Alekseychik, M. Aurela, B. Chojnicki, A.R. Desai, A.J. Dolman, E.S. Euskirchen, T. Friborg, M. Gockede, M. Helbig, E. Humphreys, R.B. Jackson, G. Jocher, F. Joos, J. Klatt, S.H. Knox, L. Kutzbach, S. Lienert, A. Lohila, I. Mammarella, D.F. Nadeau, M.B. Nilsson, W.C. Oechel, M. Peichl, T. Pypker, W. Quinton, J. Rinne, T. Sachs, M. Samson, H.P. Schmid, O. Sonnentag, C. Wille, D. Zona, and T. Aalto. 2019. Monthly Gridded Data Product of Northern Wetland Methane Emissions Based on Upscaling Eddy Covariance Observations. Earth System Science Data Discussions. 1-50. https://doi.org/10.5194/essd-2019-28CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.0)
2019Peltola, O., T. Vesala, Y. Gao, O. Raty, P. Alekseychik, M. Aurela, B. Chojnicki, A.R. Desai, A.J. Dolman, E.S. Euskirchen, T. Friborg, M. Gockede, M. Helbig, E. Humphreys, R.B. Jackson, G. Jocher, F. Joos, J. Klatt, S.H. Knox, N. Kowalska, L. Kutzbach, S. Lienert, A. Lohila, I. Mammarella, D.F. Nadeau, M.B. Nilsson, W.C. Oechel, M. Peichl, T. Pypker, W. Quinton, J. Rinne, T. Sachs, M. Samson, H.P. Schmid, O. Sonnentag, C. Wille, D. Zona, and T. Aalto. 2019. Monthly gridded data product of northern wetland methane emissions based on upscaling eddy covariance observations. Earth System Science Data. 11(3):1263-1289. https://doi.org/10.5194/essd-11-1263-2019CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.0)
2019Philip, S., M.S. Johnson, C. Potter, V. Genovesse, D.F. Baker, K.D. Haynes, D.K. Henze, J. Liu, and B. Poulter. 2019. Prior biosphere model impact on global terrestrial CO2 fluxes estimated from OCO-2 retrievals. Atmospheric Chemistry and Physics. 19(20):13267-13287. https://doi.org/10.5194/acp-19-13267-2019CMS: Modeled Net Ecosystem Exchange at 3-hourly Time Steps, 2004-2010
2019Plant, G., E.A. Kort, C. Floerchinger, A. Gvakharia, I. Vimont, and C. Sweeney. 2019. Large Fugitive Methane Emissions From Urban Centers Along the U.S. East Coast. Geophysical Research Letters. 46(14):8500-8507. https://doi.org/10.1029/2019GL082635CMS: CO2 Emissions from Fossil Fuels Combustion, ACES Inventory for Northeastern USA
2019Silva, C.A., R. Valbuena, E.R. Pinage, M. Mohan, D.R.A. Almeida, E. North Broadbent, W.S.W.M. Jaafar, D. Papa, A. Cardil, and C. Klauberg. 2019. F orest G ap R: An r Package for forest gap analysis from canopy height models . Methods in Ecology and Evolution. 10(8):1347-1356. https://doi.org/10.1111/2041-210X.13211CMS: LiDAR Data for Forested Areas in Paragominas, Para, Brazil, 2012-2014
2019Tejada, G., E.B. Gorgens, F.D.B. Espirito-Santo, R.Z. Cantinho, and J.P. Ometto. 2019. Evaluating spatial coverage of data on the aboveground biomass in undisturbed forests in the Brazilian Amazon. Carbon Balance and Management. 14(1):. https://doi.org/10.1186/s13021-019-0126-8CMS: Forest Inventory and Biophysical Measurements, Para, Brazil, 2012-2014
2019Tejada, G., E.B. Gorgens, F.D.B. Espirito-Santo, R.Z. Cantinho, and J.P. Ometto. 2019. Evaluating spatial coverage of data on the aboveground biomass in undisturbed forests in the Brazilian Amazon. Carbon Balance and Management. 14(1):. https://doi.org/10.1186/s13021-019-0126-8CMS: LiDAR Data for Forested Areas in Paragominas, Para, Brazil, 2012-2014
2018Aguilar, A., H. Flores, G. Crespo, M. Marin, I. Campos, and A. Calera. 2018. Performance Assessment of MOD16 in Evapotranspiration Evaluation in Northwestern Mexico. Water. 10(7):901. https://doi.org/10.3390/w10070901CMS: Evapotranspiration and Meteorology, Water-Limited Shrublands, Mexico, 2008-2010
2018Battles, J.J., D.M. Bell, R.E. Kennedy, D.S. Saah, B.M. Collins, R.A. York, J.E. Sanders, and F. Lopez-Ornelas2018. Innovations in Measuring and Managing Forest Carbon Stocks In California. California Natural Resources Agency. CMS: Forest Carbon Stocks, Emissions, and Net Flux for the Conterminous US: 2005-2010
2018Cook, R.B., Y. Wei, L.A. Hook, S.K.S. Vannan, and J.J. McNelis 2018. Preserve: Protecting Data for Long-Term Use. Ecological Informatics. CMS: Forest Inventory and Biophysical Measurements, Para, Brazil, 2012-2014
2018Dayalu, A., J.W. Munger, S.C. Wofsy, Y. Wang, T. Nehrkorn, Y. Zhao, M.B. McElroy, C.P. Nielsen, and K. Luus. 2018. Assessing biotic contributions to CO<sub>2</sub> fluxes in northern China using the Vegetation, Photosynthesis and Respiration Model (VPRM-CHINA) and observations from 2005 to 2009. Biogeosciences. 15(21):6713-6729. https://doi.org/10.5194/bg-15-6713-2018CMS: Modeled Net Ecosystem Exchange at 3-hourly Time Steps, 2004-2010
2018Fargione, J.E., S. Bassett, T. Boucher, S.D. Bridgham, R.T. Conant, S.C. Cook-Patton, P.W. Ellis, A. Falcucci, J.W. Fourqurean, T. Gopalakrishna, H. Gu, B. Henderson, M.D. Hurteau, K.D. Kroeger, T. Kroeger, T.J. Lark, S.M. Leavitt, G. Lomax, R.I. McDonald, J.P. Megonigal, D.A. Miteva, C.J. Richardson, J. Sanderman, D. Shoch, S.A. Spawn, J.W. Veldman, C.A. Williams, P.B. Woodbury, C. Zganjar, M. Baranski, P. Elias, R.A. Houghton, E. Landis, E. McGlynn, W.H. Schlesinger, J.V. Siikamaki, A.E. Sutton-Grier, and B.W. Griscom. 2018. Natural climate solutions for the United States. Science Advances. 4(11):eaat1869. https://doi.org/10.1126/sciadv.aat1869CMS: Forest Biomass and Productivity, 1-degree and 5-km, Conterminous US, 2005
2018Fargione, J.E., S. Bassett, T. Boucher, S.D. Bridgham, R.T. Conant, S.C. Cook-Patton, P.W. Ellis, A. Falcucci, J.W. Fourqurean, T. Gopalakrishna, H. Gu, B. Henderson, M.D. Hurteau, K.D. Kroeger, T. Kroeger, T.J. Lark, S.M. Leavitt, G. Lomax, R.I. McDonald, J.P. Megonigal, D.A. Miteva, C.J. Richardson, J. Sanderman, D. Shoch, S.A. Spawn, J.W. Veldman, C.A. Williams, P.B. Woodbury, C. Zganjar, M. Baranski, P. Elias, R.A. Houghton, E. Landis, E. McGlynn, W.H. Schlesinger, J.V. Siikamaki, A.E. Sutton-Grier, and B.W. Griscom. 2018. Natural climate solutions for the United States. Science Advances. 4(11):eaat1869. https://doi.org/10.1126/sciadv.aat1869CMS: Forest Carbon Stocks, Emissions, and Net Flux for the Conterminous US: 2005-2010
2018Fatoyinbo, T., E.A. Feliciano, D. Lagomasino, S.K. Lee, and C. Trettin. 2018. Estimating mangrove aboveground biomass from airborne LiDAR data: a case study from the Zambezi River delta. Environmental Research Letters. 13(2):025012. https://doi.org/10.1088/1748-9326/aa9f03CMS: LiDAR Data for Mangrove Forests in the Zambezi River Delta, Mozambique, 2014
2018Fatoyinbo, T., E.A. Feliciano, D. Lagomasino, S.K. Lee, and C. Trettin. 2018. Estimating mangrove aboveground biomass from airborne LiDAR data: a case study from the Zambezi River delta. Environmental Research Letters. 13(2):025012. https://doi.org/10.1088/1748-9326/aa9f03CMS: Aboveground Biomass for Mangrove Forest, Zambezi River Delta, Mozambique
2018Miller, S.M., A.M. Michalak, V. Yadav, and J.M. Tadic. 2018. Characterizing biospheric carbon balance using CO<sub>2</sub> observations from the OCO-2 satellite. Atmospheric Chemistry and Physics. 18(9):6785-6799. https://doi.org/10.5194/acp-18-6785-2018CMS: Modeled Net Ecosystem Exchange at 3-hourly Time Steps, 2004-2010
2018Qu, Y., A. Shaker, C. Silva, C. Klauberg, and E. Pinage. 2018. Remote Sensing of Leaf Area Index from LiDAR Height Percentile Metrics and Comparison with MODIS Product in a Selectively Logged Tropical Forest Area in Eastern Amazonia. Remote Sensing. 10(6):970. https://doi.org/10.3390/rs10060970CMS: Forest Inventory and Biophysical Measurements, Para, Brazil, 2012-2014
2018Qu, Y., A. Shaker, C. Silva, C. Klauberg, and E. Pinage. 2018. Remote Sensing of Leaf Area Index from LiDAR Height Percentile Metrics and Comparison with MODIS Product in a Selectively Logged Tropical Forest Area in Eastern Amazonia. Remote Sensing. 10(6):970. https://doi.org/10.3390/rs10060970CMS: LiDAR Data for Forested Areas in Paragominas, Para, Brazil, 2012-2014
2018Simard, M., L. Fatoyinbo, C. Smetanka, V.H. Rivera-Monroy, E. Castaneda-Moya, N. Thomas, and T. Van der Stocken. 2018. Mangrove canopy height globally related to precipitation, temperature and cyclone frequency. Nature Geoscience. 12(1):40-45. https://doi.org/10.1038/s41561-018-0279-1Global Mangrove Distribution, Aboveground Biomass, and Canopy Height
2018Xiao, 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-4-243-2018CMS: LiDAR-derived Biomass, Canopy Height and Cover, Sonoma County, California, 2013
2018Xu, 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.2018.07.022LiDAR-Derived Aboveground Biomass and Uncertainty for California Forests, 2005-2014
2017Bloom, 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-10-2141-2017CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.0)
2017Chen, 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/10.1002/2016GB005548Annual wildland fire emissions (WFEIS v0.5) for Conterminous US and Alaska, 2001-2013
2017Huang, 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/10.1080/17583004.2017.1396840CMS: LiDAR-derived Aboveground Biomass, Canopy Height and Cover for Maryland, 2011
2017Kanno, 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.12906CMS: Global Carbon Fluxes Associated with Livestock Feed and Emissions, 2000-2013
2017Wei, 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
2017Zscheischler, 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-14-3685-2017CMS: Carbon Fluxes from Global Agricultural Production and Consumption, 2005-2011
2016Fisher, 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-13-4271-2016CMS: Modeled Net Ecosystem Exchange at 3-hourly Time Steps, 2004-2010
2016Phillips, 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-xCMS: Soil CO2 Efflux and Properties, Site Vegetation Measurements, Mexico, 2011-2012
2016Sohl, 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.2016.07.016CMS: Land Cover Projections (5.6-km) from GCAM v3.1 for Conterminous USA, 2005-2095
2016Tang, 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/rs8090771CMS: LiDAR-derived Aboveground Biomass, Canopy Height and Cover for Maryland, 2011
2015Wolf, 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/10.1002/2015GB005119CMS: Carbon Fluxes from Global Agricultural Production and Consumption, 2005-2011
2014West, 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/10.1088/1748-9326/9/6/064004CMS: Land Cover Projections (5.6-km) from GCAM v3.1 for Conterminous USA, 2005-2095
Gurney, Kevin; Liang, Jianming; Patarasuk, Risa; Song, Yang; Huang, Jinhua; Roest, GeoffreyReplication Data for: Towards accurate, policy-relevant fossil fuel CO2 emission landscapes. Harverd Dataverse. https://doi.org/10.7910/DVN/U6PRVTCMS: CO2 Emissions from Fossil Fuels Combustion, ACES Inventory for Northeastern USA