首页> 外文会议>2011 International Conference on Remote Sensing, Environment and Transportation Engineering >Object-based landslide detection in inclined bedding limestone area— A case study of Jiweishan landslide in Wulong, Chongqing
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Object-based landslide detection in inclined bedding limestone area— A case study of Jiweishan landslide in Wulong, Chongqing

机译:倾斜层状石灰岩地区基于对象的滑坡检测-以重庆市武隆鸡尾山滑坡为例

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Remote sensing imageries with high resolution provide abundant information for landslide detection. It is vcry important for hazard investigation and mapping in limestorne area with complex landform. Object-oriented technology is one of these methodologics to extract thematic information from high solution remote sensing imageries. This paper takes Jiweishan limestone area as a case to detect landslide with object-oriented technology and change detection combined with analysis features of NDVI, NDGI, LenthWidth and etc in ALOS images. Land cover change direciton is a sensitive way to detect presumable landslid. Landslid usually bring bare land and blocked land. Jiweishan is a typical landslide in inclined bedding limestorn area which can be well and truly detected in this method.
机译:具有高分辨率的遥感影像为滑坡检测提供了丰富的信息。这对于复杂地形的莱斯托恩地区的危害调查和制图非常重要。面向对象技术是从高分辨率遥感影像中提取主题信息的方法论之一。本文以鸡尾山石灰岩地区为例,结合面向对象技术和ALOS图像中NDVI,NDGI,LenthWidth等分析特征,对滑坡进行了变化检测。土地覆被变化指数是检测可推测的滑坡的灵敏方法。滑坡通常带来光秃秃的土地和被阻塞的土地。鸡尾山是倾斜层理石灰岩地区的典型滑坡,用这种方法可以很好地检测到。

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