Gregory S. Biging
Affiliations: | Environmental Science, Policy, & Management | University of California, Berkeley, Berkeley, CA, United States |
Area:
Environmental Sciences, Remote Sensing, Forestry and Wildlife AgricultureGoogle:
"Gregory Biging"
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Publications
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Choi Y, Lim CH, Chung HI, et al. (2021) Forest management can mitigate negative impacts of climate and land-use change on plant biodiversity: Insights from the Republic of Korea. Journal of Environmental Management. 288: 112400 |
Diao J, Feng T, Li M, et al. (2020) Use of vegetation change tracker, spatial analysis, and random forest regression to assess the evolution of plantation stand age in Southeast China Annals of Forest Science. 77 |
Yang B, Lee DK, Heo HK, et al. (2019) The effects of tree characteristics on rainfall interception in urban areas Landscape and Ecological Engineering. 15: 289-296 |
Kim HG, Lee DK, Park C, et al. (2018) Estimating landslide susceptibility areas considering the uncertainty inherent in modeling methods Stochastic Environmental Research and Risk Assessment. 32: 2987-3019 |
Li C, Gong P, Wang J, et al. (2017) The first all-season sample set for mapping global land cover with Landsat-8 data Science Bulletin. 62: 508-515 |
Huang H, Liu C, Wang X, et al. (2017) Mapping vegetation heights in China using slope correction ICESat data, SRTM, MODIS-derived and climate data Isprs Journal of Photogrammetry and Remote Sensing. 129: 189-199 |
Jin Y, Sung S, Lee DK, et al. (2016) Mapping Deforestation in North Korea Using Phenology-Based Multi-Index and Random Forest Remote Sensing. 8: 997 |
Wang X, Huang H, Gong P, et al. (2016) Quantifying multi-decadal change of planted forest cover using airborne LiDAR and Landsat imagery Remote Sensing. 8 |
Lee J, Biging GS, Fisher JB. (2016) An Individual Tree-Based Automated Registration of Aerial Images to Lidar Data in a Forested Area Photogrammetric Engineering and Remote Sensing. 82: 699-710 |
Zhao Y, Feng D, Yu L, et al. (2016) Detailed dynamic land cover mapping of Chile: Accuracy improvement by integrating multi-temporal data Remote Sensing of Environment. 183: 170-185 |