Skip to main content
ORNL DAAC HomeNASA Home

DAAC Home > Get Data > NASA Projects > North American Carbon Program (NACP) > Publication List

Publications Citing NACP Aboveground Biomass and Carbon Baseline Data, V.2 (NBCD 2000), U.S.A., 2000

The following 31 publications cited the product NACP Aboveground Biomass and Carbon Baseline Data, V.2 (NBCD 2000), U.S.A., 2000.

Year Citation
2019 Dong, L., S. Tang, M. Min, F. Veroustraete, and J. Cheng. 2019. Aboveground forest biomass based on OLSR and an ANN model integrating LiDAR and optical data in a mountainous region of China. International Journal of Remote Sensing. 40(15):6059-6083. https://doi.org/10.1080/01431161.2019.1587201
2019 Spawn, S.A., T.J. Lark, and H.K. Gibbs. 2019. Carbon emissions from cropland expansion in the United States. Environmental Research Letters. 14(4):045009. https://doi.org/10.1088/1748-9326/ab0399
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.
2018 Collier, N., F.M. Hoffman, D.M. Lawrence, G. Keppel-Aleks, C.D. Koven, W.J. Riley, M. Mu, and J.T. Randerson. 2018. The International Land Model Benchmarking (ILAMB) System: Design, Theory, and Implementation. Journal of Advances in Modeling Earth Systems. 10(11):2731-2754. https://doi.org/10.1029/2018MS001354
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
2018 Hooper, S. and R.E. Kennedy. 2018. A spatial ensemble approach for broad-area mapping of land surface properties. Remote Sensing of Environment. 210:473-489. https://doi.org/10.1016/j.rse.2018.03.032
2018 Kennedy, R.E., J. Ohmann, M. Gregory, H. Roberts, Z. Yang, D.M. Bell, V. Kane, M.J. Hughes, W.B. Cohen, S. Powell, N. Neeti, T. Larrue, S. Hooper, J. Kane, D.L. Miller, J. Perkins, J. Braaten, and R. Seidl. 2018. An empirical, integrated forest biomass monitoring system. Environmental Research Letters. 13(2):025004. https://doi.org/10.1088/1748-9326/aa9d9e
2018 Santoro, M. and O. Cartus. 2018. Research Pathways of Forest Above-Ground Biomass Estimation Based on SAR Backscatter and Interferometric SAR Observations. Remote Sensing. 10(4):608. https://doi.org/10.3390/rs10040608
2018 Turner, S.B., D.P. Turner, A.N. Gray, and W. Fellers. 2018. An approach to estimating forest biomass change over a coniferous forest landscape based on tree-level analysis from repeated lidar surveys. International Journal of Remote Sensing. 1-18. https://doi.org/10.1080/01431161.2018.1528401
2017 Bachelet, D., K. Ferschweiler, T. Sheehan, B. Sleeter, and Z. Zhu. 2017. Translating MC2 DGVM Results into Ecosystem Services for Climate Change Mitigation and Adaptation. Climate. 6(1):1. https://doi.org/10.3390/cli6010001
2017 Fortier, M.O.P., G.W. Roberts, S.M. Stagg-Williams, and B.S.M. Sturm. 2017. Determination of the life cycle climate change impacts of land use and albedo change in algal biofuel production. Algal Research. 28:270-281. https://doi.org/10.1016/j.algal.2017.06.009
2017 Hardiman, B.S., J.A. Wang, L.R. Hutyra, C.K. Gately, J.M. Getson, and M.A. Friedl. 2017. Accounting for urban biogenic fluxes in regional carbon budgets. Science of The Total Environment. 592:366-372. https://doi.org/10.1016/j.scitotenv.2017.03.028
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
2017 Lin, J.C., D.V. Mallia, D. Wu, and B.B. Stephens. 2017. How can mountaintop CO<sub>2</sub> observations be used to constrain regional carbon fluxes?. Atmospheric Chemistry and Physics. 17(9):5561-5581. https://doi.org/10.5194/acp-17-5561-2017
2017 Mcgarigal, K., B. Compton, E. Plunkett, B. Deluca, J. Grand2017. Designing Sustainable Landscapes: Biomass settings variable. North Atlantic Conservation Cooperative, US Fish and Wildlife Service, Northeast Region.
2017 Mcgarigal, K., B. Compton, E. Plunkett, B. Deluca, J. Grand2017. Designing Sustainable Landscapes: Modeling Forest Succession and Disturbance. North Atlantic Conservation Cooperative, US Fish and Wildlife Service, Northeast Region.
2016 Deo, R.K., M.B. Russell, G.M. Domke, C.W. Woodall, M.J. Falkowski, and W.B. Cohen. 2016. Using Landsat Time-Series and LiDAR to Inform Aboveground Forest Biomass Baselines in Northern Minnesota, USA. Canadian Journal of Remote Sensing. 43(1):28-47. https://doi.org/10.1080/07038992.2017.1259556
2016 Dilling, L., K.C. Kelsey, D.P. Fernandez, Y.D. Huang, J.B. Milford, and J.C. Neff. 2016. Managing Carbon on Federal Public Lands: Opportunities and Challenges in Southwestern Colorado. Environmental Management. 58(2):283-296. https://doi.org/10.1007/s00267-016-0714-2
2016 Dowie, N.J., L.C. Grubisha, S.M. Trowbridge, M.R. Klooster, and S.L. Miller. 2016. Variability of ecological and autotrophic host specificity in a mycoheterotrophic system: Pterospora andromedea and associated fungal and conifer hosts. Fungal Ecology. 20:97-107. https://doi.org/10.1016/j.funeco.2015.11.005
2016 Gu, H. and P.A. Townsend. 2016. Mapping forest structure and uncertainty in an urban area using leaf-off lidar data. Urban Ecosystems. 20(2):497-509. https://doi.org/10.1007/s11252-016-0610-9
2016 Qi, W. and R.O. Dubayah. 2016. Combining Tandem-X InSAR and simulated GEDI lidar observations for forest structure mapping. Remote Sensing of Environment. 187:253-266. https://doi.org/10.1016/j.rse.2016.10.018
2016 Su, Y., Q. Ma, and Q. Guo. 2016. Fine-resolution forest tree height estimation across the Sierra Nevada through the integration of spaceborne LiDAR, airborne LiDAR, and optical imagery. International Journal of Digital Earth. 10(3):307-323. https://doi.org/10.1080/17538947.2016.1227380
2015 Huang, W., A. Swatantran, K. Johnson, L. Duncanson, H. Tang, J. O'Neil Dunne, G. Hurtt, and R. Dubayah. 2015. Local discrepancies in continental scale biomass maps: a case study over forested and non-forested landscapes in Maryland, USA. Carbon Balance and Management. 10(1): https://doi.org/10.1186/s13021-015-0030-9
2015 M. Sleeter, B., J. Liu, C. Daniel, L. Frid, and Z. Zhu. 2015. An integrated approach to modeling changes in land use, land cover, and disturbance and their impact on ecosystem carbon dynamics: a case study in the Sierra Nevada Mountains of California. AIMS Environmental Science. 2(3):577-606. https://doi.org/10.3934/environsci.2015.3.577
2014 Chopping, M., R. Duchesne, and M. North. 2014. Assessing remotely-sensed aboveground biomass estimates in the Sierra National Forest. 1041-1044. https://doi.org/10.1109/IGARSS.2014.6946606
2014 Krankina, O.N., D.A. DellaSala, J. Leonard, and M. Yatskov. 2014. High-Biomass Forests of the Pacific Northwest: Who Manages Them and How Much is Protected?. Environmental Management. 54(1):112-121. https://doi.org/10.1007/s00267-014-0283-1
2014 Pond, N.C., R.E. Froese, R.K. Deo, and M.J. Falkowski. 2014. Multiscale Validation of an Operational Model of Forest Inventory Attributes Developed with Constrained Remote Sensing Data. Canadian Journal of Remote Sensing. 40(1):43-59. https://doi.org/10.1080/07038992.2014.917581
2014 Raciti, S.M., L.R. Hutyra, and J.D. Newell. 2014. Mapping carbon storage in urban trees with multi-source remote sensing data: Relationships between biomass, land use, and demographics in Boston neighborhoods. Science of The Total Environment. 500-501:72-83. https://doi.org/10.1016/j.scitotenv.2014.08.070
2014 Thurner, M., C. Beer, M. Santoro, N. Carvalhais, T. Wutzler, D. Schepaschenko, A. Shvidenko, E. Kompter, B. Ahrens, S.R. Levick, and C. Schmullius. 2014. Carbon stock and density of northern boreal and temperate forests. Global Ecology and Biogeography. 23(3):297-310. https://doi.org/10.1111/geb.12125
2013 Montgomery A. (2013) Geospatial Analysis of Select Ecosystem Services provided by the Protected Lands of The Land Trust for Central North Carolina. Department: School of the Environment, Duke University.
2013 Parks, D.H., T. Mankowski, S. Zangooei, M.S. Porter, D.G. Armanini, D.J. Baird, M.G.I. Langille, and R.G. Beiko. 2013. GenGIS 2: Geospatial Analysis of Traditional and Genetic Biodiversity, with New Gradient Algorithms and an Extensible Plugin Framework. PLoS ONE. 8(7):e69885. https://doi.org/10.1371/journal.pone.0069885