W
Woo-Kyun Lee
Researcher at Korea University
Publications - 237
Citations - 3210
Woo-Kyun Lee is an academic researcher from Korea University. The author has contributed to research in topics: Climate change & Vegetation. The author has an hindex of 22, co-authored 212 publications receiving 2292 citations. Previous affiliations of Woo-Kyun Lee include Kangwon National University & University of California, Berkeley.
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Detection of individual trees and estimation of tree height using LiDAR data
TL;DR: In this article, an approach for delineating individual trees and estimating tree heights using LiDAR in coniferous (Pinus koraiensis, Larix leptolepis) and deciduous (Quercus spp.) forests in South Korea was presented.
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Assessment of land cover change and desertification using remote sensing technology in a local region of Mongolia
Munkhnasan Lamchin,Jong Yeol Lee,Woo-Kyun Lee,Eun Jung Lee,Moonil Kim,Chul Hee Lim,Hyun Ah Choi,So Ra Kim +7 more
TL;DR: In this article, the authors used Decision Tree (DT) approach to assess the land cover change and desertification of the Hogno Khaan protected area in 1990, 2002, and 2011.
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Long-term trend and correlation between vegetation greenness and climate variables in Asia based on satellite data.
Munkhnasan Lamchin,Woo-Kyun Lee,Seong Woo Jeon,Sonam Wangyel Wang,Chul Hee Lim,Cholho Song,Minjun Sung +6 more
TL;DR: The temperature was found to be the main driver of the changing vegetation greenness in Kazakhstan, northern Mongolia, Northeast and Central China, North Korea, South Korea, and northern Japan, showing an indirect relationship with climate variables.
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Understanding global PM2.5 concentrations and their drivers in recent decades (1998-2016)
TL;DR: Global risk regions of PM2.5 concentrations during 1998-2016 were spatiotemporally derived and a "decoupling" phenomenon occurred in developed countries, where urban expansion continued while PM2 .5 concentrations decreased, whereas developing countries increased PM 2.5 with decreasing greenness significantly in High Risk regions.
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Land Use and Land Cover Change Detection and Prediction in the Kathmandu District of Nepal Using Remote Sensing and GIS
TL;DR: In this article, the authors used remote sensing and geographical information system to detect and predict land use and land cover changes in one of the world's most vulnerable and rapidly growing cities of Kathmandu in Nepal.