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Inference of landslide areas using spatial features and surface temperature of watersheds

机译:使用流域的空间特征和表面温度推断滑坡区域

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摘要

An inference of landslide areas using digital elevation data and Landsat TM band 6 data has been performed on the basis of the assumption that the occurrence of landslides is closely related to the amount of underground-water and the topographic features of watersheds. It is shown that it is possible to distinguish between dangerous landslide areas and non-landslide areas by using spatial features of watersheds, such as the area, mean slop and shape factor, and the ground surface temperature obtained from Landsat TM data.
机译:利用数字高度数据和LANDSAT TM频段6数据推断,基于假设山体滑坡的发生与地下水的量和流域的地形特征密切相关。结果表明,可以通过使用流域的空间特征来区分危险滑坡区域和非滑坡区域,例如区域,平均斜面和形状因子,以及从Landsat TM数据获得的地面温度。

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