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Remote sensing monitoring of the dynamic changes in geologic hazards in the Huangshui River basin of Qinghai Province |
XIN Rongfang1,2,3,4( ), LI Zongren1,2,3,4( ), ZHANG Kun1,2,3,4, ZHANG Xing1,2,3,4, HUANG Li1,2,3,4, LIU Baoshan1,2,3,4 |
1. Institute of Geological Survey of Qinghai Province, Xining 810012, China 2. Qinghai Remote Sensing Big Data Engineering Technology Research Center, Xining 810012, China 3. Qinghai Satellite Application Technology Center for Natural Resources, Xining 810012, China 4. The Northern Qinghai-Tibet Plateau Geological Processes and Mineral Resources Laboratory, Xining 810012, China |
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Abstract This study investigated the causes of the frequent occurrence of geologic hazards in the Huangshui River basin of Qinghai Province in recent years mainly using the GF-1 and GF-2 satellite remote sensing data. Based on the comparative monitoring of multi-source, multi-temporal, and multi-period remote sensing images and the support of geoscience knowledge, this study built a detailed and reliable spatial distribution database of geological hazards through the sorting, analysis, and screening of existent geologic hazard data of the study area, the laboratory interpretation of remote sensing images, and field investigation and verification. Then, it conducted a statistical analysis using the spatial analysis module of GIS and the parameters of geologic hazards. Finally, this study explored the relationships between the occurrence of geologic hazards and geological environment, natural factors, and human activities. The results are as follows. In 2017, 3 188 sites of geologic hazards such as collapse and landslide were discovered in the study area. A total of 233 geologic hazard sites have changed since 2009. Among the formation conditions of geologic hazards, the geological environment conditions have changed slowly, while human engineering activities and rainfall have been the most active factors, which jointly induced geologic hazards.
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Keywords
geological disasters
Huangshui River basin
dynamic change
remote sensing monitoring
change analysis
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Issue Date: 27 December 2022
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