Yongwon Mo
Yeungnam University
17 Papers
28 Citations
Yongwon Mo is an academic researcher from Yeungnam University. The author has contributed to research in topics: Population & IUCN protected area categories. The author has an hindex of 3, co-authored 13 publications. Previous affiliations of Yongwon Mo include Seoul National University.
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Papers
Mapping riparian habitat using a combination ofremote-sensing techniques
TL;DR: In this article, the authors investigated methods to classify multispectral data and lidar for riparian habitat mapping, and to identify major habitat components for two target species by merging vertical data from lidar and spectral data of high-resolution imagery.
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Monitoring Land Use/Land Cover and Landscape Pattern Changes at a Local Scale: A Case Study of Pyongyang, North Korea
TL;DR: In this article , the authors used a random-forest algorithm and Landsat satellite dataset to classify land use/land cover (LULC) changes in North Korea and found an increasing trend in built-up and forest areas in Pyongyang, while cropland showed a decreasing trend and landscape fragmentation increased.
Prediction of Landslides Occurrence Probability under Climate Change using MaxEnt Model
Ho Gul Kim,Dong Kun Lee,Yongwon Mo,Sung-Ho Kil,Chan Park,Soojae Lee +5 more
- 28 Feb 2013
TL;DR: In this paper, the authors predicted landslides occurrence using MaxEnt model and suggested susceptibility map of landslides in Pyeongchang, Korea using RCP 8.5 Climate change scenarios were used to analyze an impact of increase in rainfall in the future.
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Phenological Analysis of Sub-Alpine Forest on Jeju Island, South Korea, Using Data Fusion of Landsat and MODIS Products
Sang-Jin Park,Seung-Gyu Jeong,Yong Park,Sang-Hyuk Kim,Dong Kun Lee,Yongwon Mo,Dong-Seok Jang,Kyung-Min Park +7 more
TL;DR: In this article, the authors identify forest phenological characteristics and changes at the species-community level by fusing spatiotemporal data from Landsat and MODIS imagery, and found that increasing temperature affects the phenology of these regions, and forest management strategies like monitoring phenology using remote sensing technique should evaluate the effects of climate change.
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Applying Connectivity Analysis for Prioritizing Unexecuted Urban Parks in Sungnam
TL;DR: Wang et al. as discussed by the authors applied network analysis to prioritize the development of city parks and contribute towards improving the green network, with Parus spp. as the target species, which made it possible to find patches that could play an important role in green network enhancement.
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