Emergency monitoring of high-level landslide disasters in Jinsha River using domestic remote sensing satellites

Yao TANG; Lijuan WANG; Guochao MA; Hujun JIA; Xiao JIN

doi:10.11834/jrs.20198405

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Emergency monitoring of high-level landslide disasters in Jinsha River using domestic remote sensing satellites
Vol. 23, Issue 2, Pages: 252-261(2019)
Published： 2019-3 ，

Accepted： 16 November 2018
DOI： 10.11834/jrs.20198405

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唐尧, 王立娟, 马国超, 贾虎军, 靳晓. 2019. 利用国产遥感卫星进行金沙江高位滑坡灾害灾情应急监测. 遥感学报, 23(2): 252–261

Tang Y, Wang L J, Ma G C, Jia H J and Jin X. 2019. Emergency monitoring of high-level landslide disasters in Jinsha River using domestic remote sensing satellites. Journal of Remote Sensing, 23(2): 252–261
唐尧, 王立娟, 马国超, 贾虎军, 靳晓. 2019. 利用国产遥感卫星进行金沙江高位滑坡灾害灾情应急监测. 遥感学报, 23(2): 252–261 DOI： 10.11834/jrs.20198405.

Tang Y, Wang L J, Ma G C, Jia H J and Jin X. 2019. Emergency monitoring of high-level landslide disasters in Jinsha River using domestic remote sensing satellites. Journal of Remote Sensing, 23(2): 252–261 DOI： 10.11834/jrs.20198405.

摘要

高位地质灾害具有强隐蔽性、强破坏性、难排查性等特征，近年来在我国西南山区频频发生，给山区居民造成了严重的人员伤亡和财产损失。以国产高分二号与北京二号等国产遥感卫星影像为数据源，对“10·11”金沙江高位滑坡开展灾情应急监测，分析了滑坡致灾情况、致灾演变及灾前蠕变特征，对灾后堰塞湖周边隐患灾后开展二次排查，查明了堰塞湖全域存在疑似裂缝隐患2处、滑坡隐患16处及5淹没区受损情况。结果表明国产遥感卫星对国家重特大地质灾害应急监测发挥了重大作用。

Abstract

High-level geological disasters are characterized by strong concealment

strong destructiveness

and difficulty in investigation. These disasters have frequently occurred in the mountainous areas of Southwest China in recent years

thereby causing serious casualties and property losses to mountain residents. Remote sensing technology has the advantages of short response time

intuitive image

high resolution

and extensive monitoring range. An image is highly achievable

easy to obtain

low cost and reliable

and can be “acquired.” On the basis of the Gaofen-2 and TRIPLESAT (Beijing-2) images as the data source

this study conducted an emergency monitoring of the “10·11” Jinsha River high-level landslide and analyzed the landslide disaster situation

disaster evolution

and pre-disaster creep characteristics. The second investigation was performed after the disaster in the vicinity of a barrier lake. A total of 2 suspected cracks in the entire area of the barrier lake

16 hidden dangers in the landslide

and 5 inundation areas were found. Results showed that domestic remote sensing satellites demonstrate considerable application prospects for the emergency monitoring of severe geological disasters.

关键词

遥感技术高位地灾金沙江滑坡灾情监测白格堰塞湖

Keywords

remote sensing technologyhigh ground disasterJinsha River landslidedisaster monitoringBaige Lake

references

成都理工大学. 2018. 滑前已有明显变形迹象！“地质灾害InSAR技术研究中心”发布金沙江白格滑坡—堰塞湖最新分析报告[EB/OL]. [2018-10-14].https://mp.weixin.qq.com/s/aaJW7NyVWSNi7fw4dsJ2MQhttps://mp.weixin.qq.com/s/aaJW7NyVWSNi7fw4dsJ2MQ

Chengdu University of Technology. 2018. There are obvious signs of deformation before sliding! “InSAR technology research center for geological hazards” released the latest analysis report of the Jinge River landslide - barrier lake[EB/OL]. [2018-10-14].https://mp.weixin.qq.com/s/aaJW7NyVWSNi7fw4dsJ2MQhttps://mp.weixin.qq.com/s/aaJW7NyVWSNi7fw4dsJ2MQ

姜波, 柴波, 方恒, 王佳佳, 黄发明. 2015. 万州孙家荆竹屋基滑坡滑动模型研究. 长江科学院院报, 32(8): 103–109

Jiang B, Cai B, Fang H, Wang J J and Huang F M. 2015. Sliding model of Jingzhuwuji landslide in Sunjia town, Wanzhou district. Journal of Yangtze River Scientific Research Institute, 32(8): 103–109 (

林经纬. 2015. 福建省滑坡灾害特征及驱动因素分析. 莆田学院学报, 22(5): 83–88

Lin J W. 2015. Characteristics and driving factors of landslide hazard in Fujian province. Journal of Putian University, 22(5): 83–88 (

自然资源部. 2018. 金沙江堰塞湖应急处置取得阶段性胜利[EB/OL]. [2018-10-16].http://news.sina.com.cn/o/2018-10-16/doc-ifxeuwws4771907.shtmlhttp://news.sina.com.cn/o/2018-10-16/doc-ifxeuwws4771907.shtml

Ministry of Natural Resources. 2018. Phased victory in the emergency disposal of the Jinsha River[EB/OL]. [2018-10-16].http://news.sina.com.cn/o/2018-10-16/doc-ifxeuwws4771907.shtmlhttp://news.sina.com.cn/o/2018-10-16/doc-ifxeuwws4771907.shtml

唐尧. 2016. 深圳“12.20”山体滑坡灾害成因及安全防范分析. 国土资源情报(1): 39–43

Tang Y. 2016. Shenzhen “12.20” landslide disaster causes and security measures analysis. Land and Resources Information(1): 39–43 (

唐尧, 王立娟, 马国超, 贾虎军, 靳晓. 2017. 无人机与国产高分技术在“6·24”茂县滑坡灾情应急监测中的应用. 国土资源情报, (8): 15–19

Tang Y, Wang L J, Ma G C, Jia H J and Jin X. 2017. Application of UAV and domestic high scoring technique in “6·24” Maoxian landslide emergency monitoring. Land and Resources Information, (8): 15–19

余姝辰. 2017. 湖南省地质灾害遥感应急体系建设研究. 国土资源情报(4): 46–51

Yu S C. 2017. Research on construction of remote sensing emergency system of geological disasters in Hunan Province. Land and Resources Information(4): 46–51 (

庄建琦, 彭建兵, 李同录, 汪发武. 2015. “9·17”灞桥灾难性黄土滑坡形成因素与运动模拟. 工程地质学报, 23(4): 747–754

Zhuang J Q, Peng J B, Li T L and Wang F W. 2015. Triggerred factores and motion simulation of “9·17” Baqiao catastrophic landslide. Journal of Engineering Geology, 23(4): 747–754 (

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