The following 41 publications cited the Carbon Monitoring System (CMS) project.
| Year | Citation | Dataset or Project |
|---|---|---|
| 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 | Huang, W., K. Dolan, A. Swatantran, K. Johnson, H. Tang, J. O'Neil-Dunne, R. Dubayah, and G. Hurtt. 2019. High-resolution mapping of aboveground biomass for forest carbon monitoring system in the Tri-State region of Maryland, Pennsylvania and Delaware, USA. Environmental Research Letters. 14(9):095002. https://doi.org/10.1088/1748-9326/ab2917 | CMS: LiDAR-derived Estimates of Aboveground Biomass at Four Forested Sites, USA |
| 2019 | Huang, W., K. Dolan, A. Swatantran, K. Johnson, H. Tang, J. O'Neil-Dunne, R. Dubayah, and G. Hurtt. 2019. High-resolution mapping of aboveground biomass for forest carbon monitoring system in the Tri-State region of Maryland, Pennsylvania and Delaware, USA. Environmental Research Letters. 14(9):095002. https://doi.org/10.1088/1748-9326/ab2917 | CMS: LiDAR-derived Aboveground Biomass, Canopy Height and Cover for Maryland, 2011 |
| 2019 | Huang, W., K. Dolan, A. Swatantran, K. Johnson, H. Tang, J. O'Neil-Dunne, R. Dubayah, and G. Hurtt. 2019. High-resolution mapping of aboveground biomass for forest carbon monitoring system in the Tri-State region of Maryland, Pennsylvania and Delaware, USA. Environmental Research Letters. 14(9):095002. https://doi.org/10.1088/1748-9326/ab2917 | LiDAR Derived Biomass, Canopy Height and Cover for Tri-State (MD, PA, DE) Region, V2 |
| 2019 | Hurtt, G., M. Zhao, R. Sahajpal, A. Armstrong, R. Birdsey, E. Campbell, K. Dolan, R. Dubayah, J.P. Fisk, S. Flanagan, C. Huang, W. Huang, K. Johnson, R. Lamb, L. Ma, R. Marks, D. O'Leary, J. O'Neil-Dunne, A. Swatantran, and H. Tang. 2019. Beyond MRV: high-resolution forest carbon modeling for climate mitigation planning over Maryland, USA. Environmental Research Letters. 14(4):045013. https://doi.org/10.1088/1748-9326/ab0bbe | CMS: LiDAR-derived Aboveground Biomass, Canopy Height and Cover for Maryland, 2011 |
| 2019 | Hurtt, G., M. Zhao, R. Sahajpal, A. Armstrong, R. Birdsey, E. Campbell, K. Dolan, R. Dubayah, J.P. Fisk, S. Flanagan, C. Huang, W. Huang, K. Johnson, R. Lamb, L. Ma, R. Marks, D. O'Leary, J. O'Neil-Dunne, A. Swatantran, and H. Tang. 2019. Beyond MRV: high-resolution forest carbon modeling for climate mitigation planning over Maryland, USA. Environmental Research Letters. 14(4):045013. https://doi.org/10.1088/1748-9326/ab0bbe | Forest Aboveground Biomass and Carbon Sequestration Potential for Maryland, USA |
| 2019 | Ishizawa, M., D. Chan, D. Worthy, E. Chan, F. Vogel, and S. Maksyutov. 2019. Analysis of atmospheric CH<sub>4</sub> in Canadian Arctic and estimation of the regional CH<sub>4</sub> fluxes. Atmospheric Chemistry and Physics. 19(7):4637-4658. https://doi.org/10.5194/acp-19-4637-2019 | CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.0) |
| 2019 | Lagomasino, D., T. Fatoyinbo, S. Lee, E. Feliciano, C. Trettin, A. Shapiro, and M.M. Mangora. 2019. Measuring mangrove carbon loss and gain in deltas. Environmental Research Letters. 14(2):025002. https://doi.org/10.1088/1748-9326/aaf0de | CMS: Mangrove Canopy Characteristics and Land Cover Change, Tanzania, 1990-2014 |
| 2019 | Peltola, O., T. Vesala, Y. Gao, O. Raty, P. Alekseychik, M. Aurela, B. Chojnicki, A.R. Desai, A.J. Dolman, E.S. Euskirchen, T. Friborg, M. Gockede, M. Helbig, E. Humphreys, R.B. Jackson, G. Jocher, F. Joos, J. Klatt, S.H. Knox, L. Kutzbach, S. Lienert, A. Lohila, I. Mammarella, D.F. Nadeau, M.B. Nilsson, W.C. Oechel, M. Peichl, T. Pypker, W. Quinton, J. Rinne, T. Sachs, M. Samson, H.P. Schmid, O. Sonnentag, C. Wille, D. Zona, and T. Aalto. 2019. Monthly Gridded Data Product of Northern Wetland Methane Emissions Based on Upscaling Eddy Covariance Observations. Earth System Science Data Discussions. 1-50. https://doi.org/10.5194/essd-2019-28 | CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.0) |
| 2019 | Peltola, O., T. Vesala, Y. Gao, O. Raty, P. Alekseychik, M. Aurela, B. Chojnicki, A.R. Desai, A.J. Dolman, E.S. Euskirchen, T. Friborg, M. Gockede, M. Helbig, E. Humphreys, R.B. Jackson, G. Jocher, F. Joos, J. Klatt, S.H. Knox, N. Kowalska, L. Kutzbach, S. Lienert, A. Lohila, I. Mammarella, D.F. Nadeau, M.B. Nilsson, W.C. Oechel, M. Peichl, T. Pypker, W. Quinton, J. Rinne, T. Sachs, M. Samson, H.P. Schmid, O. Sonnentag, C. Wille, D. Zona, and T. Aalto. 2019. Monthly gridded data product of northern wetland methane emissions based on upscaling eddy covariance observations. Earth System Science Data. 11(3):1263-1289. https://doi.org/10.5194/essd-11-1263-2019 | CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.0) |
| 2019 | Philip, S., M.S. Johnson, C. Potter, V. Genovesse, D.F. Baker, K.D. Haynes, D.K. Henze, J. Liu, and B. Poulter. 2019. Prior biosphere model impact on global terrestrial CO2 fluxes estimated from OCO-2 retrievals. Atmospheric Chemistry and Physics. 19(20):13267-13287. https://doi.org/10.5194/acp-19-13267-2019 | CMS: Modeled Net Ecosystem Exchange at 3-hourly Time Steps, 2004-2010 |
| 2019 | Plant, G., E.A. Kort, C. Floerchinger, A. Gvakharia, I. Vimont, and C. Sweeney. 2019. Large Fugitive Methane Emissions From Urban Centers Along the U.S. East Coast. Geophysical Research Letters. 46(14):8500-8507. https://doi.org/10.1029/2019GL082635 | CMS: CO2 Emissions from Fossil Fuels Combustion, ACES Inventory for Northeastern USA |
| 2019 | Silva, C.A., R. Valbuena, E.R. Pinage, M. Mohan, D.R.A. Almeida, E. North Broadbent, W.S.W.M. Jaafar, D. Papa, A. Cardil, and C. Klauberg. 2019. F orest G ap R: An r Package for forest gap analysis from canopy height models . Methods in Ecology and Evolution. 10(8):1347-1356. https://doi.org/10.1111/2041-210X.13211 | CMS: LiDAR Data for Forested Areas in Paragominas, Para, Brazil, 2012-2014 |
| 2019 | Tejada, G., E.B. Gorgens, F.D.B. Espirito-Santo, R.Z. Cantinho, and J.P. Ometto. 2019. Evaluating spatial coverage of data on the aboveground biomass in undisturbed forests in the Brazilian Amazon. Carbon Balance and Management. 14(1):. https://doi.org/10.1186/s13021-019-0126-8 | CMS: Forest Inventory and Biophysical Measurements, Para, Brazil, 2012-2014 |
| 2019 | Tejada, G., E.B. Gorgens, F.D.B. Espirito-Santo, R.Z. Cantinho, and J.P. Ometto. 2019. Evaluating spatial coverage of data on the aboveground biomass in undisturbed forests in the Brazilian Amazon. Carbon Balance and Management. 14(1):. https://doi.org/10.1186/s13021-019-0126-8 | CMS: LiDAR Data for Forested Areas in Paragominas, Para, Brazil, 2012-2014 |
| 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 |