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REMOTE SENSING FOR LAND & RESOURCES    2016, Vol. 28 Issue (2) : 139-148     DOI: 10.6046/gtzyyg.2016.02.22
Technology Application |
Application of GF-1 image to geological disaster survey in Cosibsumgy village on Sino-India border area
ZHANG Kun1,2, LI Xiaomin1,2, MA Shibin1,2, LIU Shiying1,2, LI Shenghui1,2
1. Qinghai Province North of the Qinghai-Tibet Plateau Geological Process and Mineral Resources Key Laboratories, Xining 810012, China;
2. Institute of Geological Survey of Qinghai Province, Xining 810012, China
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Abstract  

Using data obtained from DEM and GF-1 Satellite(called GF-1) concerning lithological characteristics in Cosibsumgy village on Sino-India border area, the authors conducted detailed remote sensing interpretation of structures and geological disasters to understand the application performances of GF-1 and find out the patterns of geological disasters that have happened in this area. The results show that the fused image of GF-1 data appears to be evident for the micro morphology of the disasters. It can identify the locations and outlines of the geological disasters. Landslide and frost weathering debris flow are dominant in the geological disasters. The landslide, collapse and mudslide mostly occur in the gradients ranging [25°, 35°], whereas the frost weathering debris flow has positive correlation with the gradients. The migration directions of the geological disasters are basically consistent with the directions of the main tectonic lines and the tendency of the bedrocks. Meanwhile, the multilevel river terraces existing in the area and the huge vertical fall from Quaternary system are the main causes for geological disasters, as revealed in this study.
Keywords ship target discrimination      simple feature      complex feature      hierarchical description     
:  TP79  
Issue Date: 14 April 2016
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CHENG Hong
LIU Sitong
SUN Wenbang
YANG Shuai
Cite this article:   
CHENG Hong,LIU Sitong,SUN Wenbang, et al. Application of GF-1 image to geological disaster survey in Cosibsumgy village on Sino-India border area[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(2): 139-148.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2016.02.22     OR     https://www.gtzyyg.com/EN/Y2016/V28/I2/139

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[1] CHENG Hong, LIU Sitong, SUN Wenbang, YANG Shuai. Ship target discrimination based on hierarchical feature description[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(2): 28-33.
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