期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII-B8
页码：925-928
出版社：Copernicus Publications
摘要：Monitoring and evaluating natural disasters is one of important applying fields of remote sensing. In this paper, the authors monitor dynamically the change and move laws of landslides by making use of high-revolution remote sensing imageries (taking Hiroshima, Japan for example); they construct the optimum regression relation between the remote sensing imageries and the affecting functions of landslides based on multi-variable regression analyses, and put forward to applying Quantification Theory Ⅱin landslide disaster monitoring. The concrete procedures include: 1. Identify the positions, scales, types, and boundaries of the landslides by using the Object-oriented classifications, after geometric corrections, spatial matching, mosaicing and enhancement ； 2. Construct the multiple regression analysis equation about the natural and environmental functions affecting the landslide; 3. Decide the risk indexes based on remote sensing imagery pixel referring to the regions which landslides possibly occur by using Quantification Theory Ⅱ; the external standards are weathering, slope, geology, topography, soil, land-use, saturation, and NDVI for deciding risk indexes. The prediction results are proven to satisfying the needs, and can provide referrence for similar situations
