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NASA Landslide Project Project

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aws亚马逊开源数据集2026-05-16 收录
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https://registry.opendata.aws/nasa-landslide-project
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The Landslide Hazard Assessment for Situational Awareness (LHASA) model identifies locations with high potential for landslide occurrence at a daily temporal resolution. LHASA combines satellite‐based precipitation estimates with a landslide susceptibility map derived from information on slope, geology, road networks, fault zones, and forest loss. When rainfall is considered to be extreme and susceptibility values are moderate to very high, a “nowcast” is issued to indicate the times and places where landslides are more probable. Although the model could be run every half hour, this archive co...

情景感知滑坡灾害评估(Landslide Hazard Assessment for Situational Awareness,LHASA)模型可按日时间分辨率识别具有高滑坡发生潜力的区域。该模型将卫星降水估算数据与由坡度、地质条件、道路网络、断层带及森林覆盖损失信息推导得到的滑坡敏感性图进行融合。当降雨被判定为极端事件,且敏感性分值处于中等至极高区间时,系统将发布“临近预报(nowcast)”,以指明滑坡发生概率更高的时段与地点。尽管该模型可每半小时运行一次,但本数据集仅...
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