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首页> 外文期刊>International journal of remote sensing >Landslide Mapping In The Coastal Area Between The Strymonic Gulf And kavala (macedonia, Greece) With The Aid Of Remote Sensing And geographical Information Systems
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Landslide Mapping In The Coastal Area Between The Strymonic Gulf And kavala (macedonia, Greece) With The Aid Of Remote Sensing And geographical Information Systems

机译:借助遥感和地理信息系统,在Strymonic海湾和kavala(希腊马其顿)之间的沿海地区进行滑坡测绘

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The main aim of this study is to photointerpret land cover change along hill slopes in order to detect existing landslides with the aid of methodologies such as false colour composites (FCCs), principal component analysis (PCA) and the normalized difference vegetation index (NDVI). Then, by combining geological data (lithology, vegetation cover), and geomorphologic factors (slope, aspect, distance from the rivers), landslide susceptibility maps were produced. The region where the study took place was the coastal area between the Strymonic Gulf and southwest Kavala prefecture, which was selected because of its intense landslide activity. The identification of locations where landslides occurred was achieved with the use and processing of TERRA/ASTER satellite images, while the data, which were mainly collected from the digitization of contours from topographical maps at 1:50 000 scale, were used to construct the final landslide susceptibility maps. The resulting FCC images provided satisfactory information about the locations of landslide sites and the landslide susceptibility maps indicated areas that were more prone to produce such phenomena.
机译:这项研究的主要目的是借助假彩色复合材料(FCC),主成分分析(PCA)和归一化植被指数(NDVI)等方法对沿山坡的土地覆盖变化进行光解,以检测现有的滑坡。 。然后,通过结合地质数据(岩性,植被覆盖度)和地貌因素(坡度,纵横比,距河流的距离),生成了滑坡敏感性图。进行研究的地区是Strymonic海湾和西南卡瓦拉县之间的沿海地区,由于其强烈的滑坡活动而被选中。通过使用和处理TERRA / ASTER卫星图像,可以识别出发生滑坡的地点,而数据主要是从地形图以1:50 000比例尺的轮廓数字化收集而来,用于构造最终的滑坡敏感性图。生成的FCC图像提供了有关滑坡场所位置的令人满意的信息,并且滑坡敏感性图指示了更容易产生此类现象的区域。

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