Landslide Relic Dataset.

<div><p>Landslides constitute a significant geological hazard in China, particularly in high-altitude regions like the Himalayas, where the challenging environmental conditions impede field surveys. This research utilizes the IOE model to refine non-landslide samples and integrates it wi...

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Bibliographic Details
Main Author:	Kong Yuzhong (21175834) (author)
Other Authors:	Wu Hua (2168293) (author), Xu Chong (21300122) (author), Sun Jingjing (21300125) (author), Zhu Kangcheng (21175822) (author), Zhang Chenguang (21300128) (author), Zhou Jianwei (21175828) (author), Xu Tong (8099873) (author), Su Taijin (21300131) (author), Zhang Zelin (21300134) (author), Kong Hui (21300137) (author)
Published:	2025
Subjects:	Medicine Biotechnology Ecology Cancer Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified twelve conditioning factors significant geological hazard land use planning encompassing geological environment conditioning factors based machine learning models four coupled models certain central regions altitude regions like optimal classification performance best classification effect landslide susceptibility model classification performance landslide susceptibility unoptimized models lr models effect among landslide samples lowest susceptibility highest susceptibility thereby improving thereby enhancing research utilizes predominantly situated luolong county largely located human activities f1 score entropy index disaster prevention data dispersion consistently shrouded comprehensive assessment case study
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Landslide Relic Dataset.

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