首页> 外文会议>IEEE International Geoscience and Remote Sensing Symposium >PIXEL BASED TERRAIN ANALYSIS FOR LANDSLIDE HAZARD ZONATION, A CASE STUDY OF TEHRI RESERVOIR REGION, UTTARAKHAND, INDIA
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PIXEL BASED TERRAIN ANALYSIS FOR LANDSLIDE HAZARD ZONATION, A CASE STUDY OF TEHRI RESERVOIR REGION, UTTARAKHAND, INDIA

机译:基于像素的滑坡危险区划地域分析,伊塔里赫卡,印度德黑利水库案例研究

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摘要

A methodology for delineation of landslide hazard zones using Terrain parameters, frequency ratio and arithmetic overlay approach in GIS environment, is presented. Temporal remote sensing data including Digital Elevation Model (DEM) had been usedfor preparation of landslide causative factors. Terrain parameters such as: slope, aspect, relative relief, topographic wetness index (TWI), and stream power index (SPI), were derived and their influence on landslide had been performed using landslide frequency ratio. Other landslide causative factors: Land use/Land cover, drainage, lithology, and photo-lineaments were generatedfrom remote sensing multispectral data by applying different image processing techniques. Ancillary data including field observations were incorporated in GIS platform. Landside frequency ratio for each factor's attribute was calculated. Integration of conditioning factors was done by using arithmetic overlay, which had resulted a pixel based hazard index map, which was further classified and validated.
机译:呈现了使用GIS环境中的地形参数,频率比和算术覆盖方法描绘滑坡危险区的方法。包括数字高度模型(DEM)的时间遥感数据已被用于制备滑坡造成因子。地形参数如:坡,方面,相对浮雕,地形湿度指数(TWI)和流功率指数(SPI),并使用滑坡频率比进行了对滑坡的影响。其他滑坡致原因:通过应用不同的图像处理技术,从遥感多光谱数据产生土地使用/陆地覆盖,排水,岩性和光线。包括现场观察包括现场观察的辅助数据纳入GIS平台。计算每个因子属性的陆地频率比。通过使用算术覆盖来完成调节因子的集成,这导致了基于像素的危险索引图,其进一步分类和验证。

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