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Publications Citing Carbon Monitoring System (CMS)

The following 31 publications cited the Carbon Monitoring System (CMS) project.

YearCitationDataset or Project
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-11-529-2019
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/ab0bbe
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/ab0bbe
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-19-4637-2019
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/aaf0de
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/w10070901
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.
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.
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-15-6713-2018
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.aat1869
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.aat1869
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/aa9f03
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/aa9f03
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-18-6785-2018
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/rs10060970
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/rs10060970
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/s41561-018-0279-1
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-4-243-2018
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.2018.07.022
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-10-2141-2017
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/10.1002/2016GB005548
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/10.1080/17583004.2017.1396840
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.12906
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:.
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-14-3685-2017
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-13-4271-2016
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-x
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.2016.07.016
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/rs8090771
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/10.1002/2015GB005119
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/10.1088/1748-9326/9/6/064004