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基于“高分+”的金沙江滑坡灾情监测与应用前景分析
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.
作者姓名:唐尧  王立娟  马国超  贾虎军  李洪梁  尹恒
作者单位:1.四川省安全科学技术研究院, 四川 成都, 610045
基金项目:国防科工局高分专项省(自治区)域产业化应用项目87-Y40G06-9001-15/18四川省绵阳市国防科工办军用技术再研发项目zyf-2017-37四川省科技厅重点研发项目2018GZ0051四川省科技厅重点研发项目2019YFS0073
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。

关 键 词:“高分+”    金沙江滑坡    灾情监测    灾害应急分析    应用前景
收稿时间:2019-03-03

Disaster Monitoring and Application Prospect Analysis of the Jinsha River Landslide Based on "Gaofen+"
Affiliation:1.Sichuan Academy of Safety Science and Technology, Chengdu 610045, China2.Major Hazard Measurement and Control Key Laboratory of Sichuan Province, Chengdu 610045, China
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.
Keywords:
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