Skip to main content
ORNL DAAC HomeNASA Home
DAAC Home > Get Data > NASA Projects > North American Carbon Program (NACP) > Publication List

Publications Citing NACP NAFD Project: Forest Disturbance History from Landsat, 1986-2010

The following 15 publications cited the product NACP NAFD Project: Forest Disturbance History from Landsat, 1986-2010.

Year Citation
2021 Ma, L., G. Hurtt, H. Tang, R. Lamb, E. Campbell, R. Dubayah, M. Guy, W. Huang, A. Lister, J. Lu, J. O'Neil-Dunne, A. Rudee, Q. Shen, and C. Silva. 2021. High-resolution forest carbon modelling for climate mitigation planning over the RGGI region, USA. Environmental Research Letters. 16(4):045014. https://doi.org/10.1088/1748-9326/abe4f4
2020 Schleeweis, K.G., G.G. Moisen, T.A. Schroeder, C. Toney, E.A. Freeman, S.N. Goward, C. Huang, and J.L. Dungan. 2020. US National Maps Attributing Forest Change: 1986-2010. Forests. 11(6):653. https://doi.org/10.3390/f11060653
2019 Palomino, J. and M. Kelly. 2019. Differing Sensitivities to Fire Disturbance Result in Large Differences Among Remotely Sensed Products of Vegetation Disturbance. Ecosystems. https://doi.org/10.1007/s10021-019-00367-9
2019 Tao, X., C. Huang, F. Zhao, K. Schleeweis, J. Masek, and S. Liang. 2019. Mapping forest disturbance intensity in North and South Carolina using annual Landsat observations and field inventory data. Remote Sensing of Environment. 221:351-362. https://doi.org/10.1016/j.rse.2018.11.029
2019 Yu, Z., C. Lu, H. Tian, and J.G. Canadell. 2019. Largely underestimated carbon emission from land use and land cover change in the conterminous United States. Global Change Biology. https://doi.org/10.1111/gcb.14768
2018 Emmett, K.D., K.M. Renwick, and B. Poulter. 2018. Disentangling Climate and Disturbance Effects on Regional Vegetation Greening Trends. Ecosystems. https://doi.org/10.1007/s10021-018-0309-2
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 Sleeter, B.M., J. Liu, C. Daniel, B. Rayfield, J. Sherba, T.J. Hawbaker, Z. Zhu, P.C. Selmants, and T.R. Loveland. 2018. Effects of contemporary land-use and land-cover change on the carbon balance of terrestrial ecosystems in the United States. Environmental Research Letters. 13(4):045006. https://doi.org/10.1088/1748-9326/aab540
2018 Zhao, F., C. Huang, S.N. Goward, K. Schleeweis, K. Rishmawi, M.A. Lindsey, E. Denning, L. Keddell, W.B. Cohen, Z. Yang, J.L. Dungan, and A. Michaelis. 2018. Development of Landsat-based annual US forest disturbance history maps (1986-2010) in support of the North American Carbon Program (NACP). Remote Sensing of Environment. 209:312-326. https://doi.org/10.1016/j.rse.2018.02.035
2017 Kumar, U., S. Ganguly, R.R. Nemani, K.S. Raja, C. Milesi, R. Sinha, A. Michaelis, P. Votava, H. Hashimoto, S. Li, W. Wang, S. Kalia, and S. Gayaka. 2017. Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing. Remote Sensing. 9(11):1105. https://doi.org/10.3390/rs9111105
2017 Vanderhoof, M.K., N. Fairaux, Y.J.G. Beal, and T.J. Hawbaker. 2017. Validation of the USGS Landsat Burned Area Essential Climate Variable (BAECV) across the conterminous United States. Remote Sensing of Environment. 198:393-406. https://doi.org/10.1016/j.rse.2017.06.025
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:.
2016 Gu, H., C.A. Williams, B. Ghimire, F. Zhao, and C. Huang. 2016. High-resolution mapping of time since disturbance and forest carbon flux from remote sensing and inventory data to assess harvest, fire, and beetle disturbance legacies in the Pacific Northwest. Biogeosciences. 13(22):6321-6337. https://doi.org/10.5194/bg-13-6321-2016
2016 Schleeweis, K., S.N. Goward, C. Huang, J.L. Dwyer, J.L. Dungan, M.A. Lindsey, A. Michaelis, K. Rishmawi, and J.G. Masek. 2016. Selection and quality assessment of Landsat data for the North American forest dynamics forest history maps of the US. International Journal of Digital Earth. 9(10):963-980. https://doi.org/10.1080/17538947.2016.1158876
2016 Williams, C.A., H. Gu, R. MacLean, J.G. Masek, and G.J. Collatz. 2016. Disturbance and the carbon balance of US forests: A quantitative review of impacts from harvests, fires, insects, and droughts. Global and Planetary Change. 143:66-80. https://doi.org/10.1016/j.gloplacha.2016.06.002