Extracting and Analyzing Geometric Features of Landslides Induced by Wenchuan Earthquake Based on Remote Sensing
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Extracting and Analyzing Geometric Features of Landslides Induced by Wenchuan Earthquake Based on Remote Sensing
Bulletin of Soiland Water ConservationVol. 31, Issue 2, Pages: 118-121(2012)
作者机构:
1. 中国科学院 山地灾害与地表过程重点实验室,四川,成都,610041
2. 中国科学院 水利部 成都山地灾害与环境研究所,四川,成都,610041
3. 中国科学院 研究生院,北京,100049
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Published:2012
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FAN Jian-rong, LI Xiu-zhen, ZHANG Huai-zhen, et al. Extracting and Analyzing Geometric Features of Landslides Induced by Wenchuan Earthquake Based on Remote Sensing[J]. Bulletin of Soiland Water Conservation, 2012, 31(2): 118-121.
DOI:
FAN Jian-rong, LI Xiu-zhen, ZHANG Huai-zhen, et al. Extracting and Analyzing Geometric Features of Landslides Induced by Wenchuan Earthquake Based on Remote Sensing[J]. Bulletin of Soiland Water Conservation, 2012, 31(2): 118-121.DOI:
Extracting and Analyzing Geometric Features of Landslides Induced by Wenchuan Earthquake Based on Remote Sensing
In this study,we selected 107 landslides in the earthquake-stricken area for investigation. The geometric features of the landslides were extracted based on remote sensing,DEM(digital elevation model) data and field survey.The area of the landslides was obtained by interpreting individual landslides from remote sensing images. The apparent friction angles,travel distances,and the heights of the landslide bodies were extracted from remote sensing images combined with DEM. The total volumes of the landslides were gained by field survey. Furthermore,we linked the total volumes and travel distance of the landslides with the other geometric features factors,such as the areas,apparent friction angles and heights. The results indicate that the total volumes had significant relationship with landslide areas and landslide heights,which could be described well by a power equation and a quadric polynomial equation,respectively,while the travel distances correlated significantly linearly with the landslide heights. However,the other relationship was not statistically significant.
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