唐尧, 王立娟, 马国超, 贾虎军, 李洪梁, 尹恒. 基于“高分+”的金沙江滑坡灾情监测与应用前景分析[J]. 武汉大学学报 ( 信息科学版), 2019, 44(7): 1082-1092. DOI: 10.13203/j.whugis20190048
引用本文: 唐尧, 王立娟, 马国超, 贾虎军, 李洪梁, 尹恒. 基于“高分+”的金沙江滑坡灾情监测与应用前景分析[J]. 武汉大学学报 ( 信息科学版), 2019, 44(7): 1082-1092. DOI: 10.13203/j.whugis20190048
TANG Yao, WANG Lijuan, MA Guochao, JIA Hujun, LI Hongliang, YIN Heng. Disaster Monitoring and Application Prospect Analysis of the Jinsha River Landslide Based on "Gaofen+"[J]. Geomatics and Information Science of Wuhan University, 2019, 44(7): 1082-1092. DOI: 10.13203/j.whugis20190048
Citation: TANG Yao, WANG Lijuan, MA Guochao, JIA Hujun, LI Hongliang, YIN Heng. Disaster Monitoring and Application Prospect Analysis of the Jinsha River Landslide Based on "Gaofen+"[J]. Geomatics and Information Science of Wuhan University, 2019, 44(7): 1082-1092. DOI: 10.13203/j.whugis20190048

基于“高分+”的金沙江滑坡灾情监测与应用前景分析

Disaster Monitoring and Application Prospect Analysis of the Jinsha River Landslide Based on "Gaofen+"

  • 摘要: 基于“高分+”,探索以“高分+地质灾害”模式对10·11与11·3金沙江滑坡灾害开展灾情应急分析,利用灾害前后的高分遥感影像解译了滑坡灾害的基本灾情信息,分析了灾害前后孕灾及变形蠕动特征,对灾后白格堰塞湖及周边开展了隐患灾害排查,查明了堰塞湖两岸存在疑似裂缝与次生滑坡隐患点,开展了二次滑坡灾后灾区道路通达性分析。结果表明,“高分+”模式对类似金沙江滑坡等山区自然灾害巡排查、灾情跟踪监测及灾后应急抢险道路优选具有较大的应用前景。

     

    Abstract: Based on the "Gaofen +", this paper explores the emergency analysis of the Jinsha River landslide disasters on October 11 and November 3, 2018, with the "Gaofen + geological disaster" model, and uses the high-resolution remote sensing image of the disaster area before and after the disaster to interpret the landslide. According to the basic disaster information of the disaster, the characteristics of pregnancy disaster and deformation and creep before and after the disaster are analyzed. The hidden dangers are investigated in the Baige Lake and surrounding areas after the disaster. The suspected cracks and secondary landslide hazard points on both sides of the barrier lake are identified, and road accessibility analysis of disaster areas after the second landslide is carried out. The results show that the "Gaofen +" model has great potential for the application of natural disasters such as the Jinsha River landslide, disaster monitoring and emergency rescue roads.

     

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