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Publications Citing Carbon Monitoring System (CMS)

The following 32 publications cited the Carbon Monitoring System (CMS) project.

YearCitationDataset or Project
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
2018Petrova, 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
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
2018Sargent, 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
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
2017Castro, 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
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
2017Gately, 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
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
2016Colbeck, I. 2016. Measuring Hydrocarbons in the Atmosphere. 151-159. https://doi.org/10.1007/8623_2016_199
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
2016Harris, 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
2016Lu, 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
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