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Investigation and assessment of landslides and debris flows in Sichuan province of China by remote sensing technique

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Abstract

Taking TM images, ETM images, SPOT images, aerial photos and other remote sensing data as fundamental sources, this research makes a thorough investigation on landslides and debris flows in Sichuan Province, China, using the method of manual interpretation and taking topography maps as references after the processes of terrain correction, spectral matching, and image mosaic. And then, the spatial characteristics of landslides and debris flows in the year of 2005 are assessed and made into figures. The environmental factors which induce landslides and debris flows such as slope, vegetation coverage, lithology, rainfall and so on are obtained by GIS spatial analysis method. Finally, the relationships of landslides or debris flows with some environmental factors are analyzed based on the grade of each environmental factor. The results indicate: 1) The landslides and debris flows are mainly in the eastern and southern area of Sichuan Province, however, there are few landslides and debris flows in the western particularly the northwestern Sichuan. 2) The landslides and debris flows of Sichuan Province are mostly located in the regions with small slope degree. The occurring rate of debris flow reduces with the increase of the vegetation coverage degree, but the vegetation coverage degree has little to do with the occurrence of landslide. The more rainfall a place has, the easier the landslides and debris flows take place.

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Foundation item: Under the auspices of Knowledge Innovation Program of Chinese Academy Sciences (No. KZCX2-SW-319-01), Science & Technology Bureau of Sichuan Province (No. [2005]-172-140107)

Biography: ZHANG Baolei (1979–), male, a native of Linyi of Shandong Province, Ph.D. candidate, specialized in application of RS and development of GIS.

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Zhang, B., Zhang, S. & Zhou, W. Investigation and assessment of landslides and debris flows in Sichuan province of China by remote sensing technique. Chin. Geograph.Sc. 16, 223–228 (2006). https://doi.org/10.1007/s11769-006-0223-y

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  • DOI: https://doi.org/10.1007/s11769-006-0223-y

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