重大地质灾害隐患早期识别中综合遥感应用的思考与建议
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摘要
2017年以来,以四川茂县新磨村高位垮塌、金沙江白格滑坡为代表的重大地质灾害多次发生,呈现出隐蔽性强、突发性高、破坏力大等特点,难以早期发现。值得注意的是,尽管地质灾害防治工作已在全国大范围开展并受到国家层面的高度重视与支持,但绝大部分灾害仍发生于全国现有地质灾害隐患点分布以外的区域。对这些人迹罕至、人不能至且观测条件苛刻的地区的重大隐患进行有效早期识别,是当前地质灾害防治工作尚需解决的难题和重要任务。在总结合成孔径雷达干涉测量(interferometric synthetic aperture radar, InSAR)技术特点与其应用局限的基础上,从光学遥感、InSAR、激光雷达等综合遥感测量的角度提出了以"形态、形变、形势"(三形)为观测内容、以定性识别灾害隐患位置、定量监测灾害体变形幅度、依靠综合遥感动态监测数据提升隐患识别能力的技术思路。对未来工作提出了若干建议与思考,以期服务于重大地质灾害隐患综合判断与早期识别工作。
Since 2017, many serious geological disasters have been reported, including the 2017 mountain collapse at high altitudes in Xinmo Village in Mao County, Sichuan Province, and the 2018 Baige landslide in Jinsha River, most of which are of great destructive power and hard to detect in advance. It is worth noting that although the geohazard prevention has been carried out extensively across the whole country which is supported by the state, many of these geological disasters occur outside the potential geohazard points estimated in advance. The early identification of these undetectable geohazards points remains a big challenge and a crucial task in current geohazard prevention work. In this paper, the characteristics of interferometric synthetic aperture radar(InSAR) and its inherited limitations are summarized. Based on the integrated remote sensing technologies(including optical, SAR/InSAR and LiDAR), the key observation concept with three forms "morphology, deformation, situation" is proposed. Through the integration of a range of remote sensing technologies, the locations of potential geohazards will be identified qualitatively, and their associated movements will be monitored quantitatively. Finally, a series of thoughts and recommendations are provided to guide our future work for the early detection of serious geological hazards.
Since 2017, many serious geological disasters have been reported, including the 2017 mountain collapse at high altitudes in Xinmo Village in Mao County, Sichuan Province, and the 2018 Baige landslide in Jinsha River, most of which are of great destructive power and hard to detect in advance. It is worth noting that although the geohazard prevention has been carried out extensively across the whole country which is supported by the state, many of these geological disasters occur outside the potential geohazard points estimated in advance. The early identification of these undetectable geohazards points remains a big challenge and a crucial task in current geohazard prevention work. In this paper, the characteristics of interferometric synthetic aperture radar(InSAR) and its inherited limitations are summarized. Based on the integrated remote sensing technologies(including optical, SAR/InSAR and LiDAR), the key observation concept with three forms "morphology, deformation, situation" is proposed. Through the integration of a range of remote sensing technologies, the locations of potential geohazards will be identified qualitatively, and their associated movements will be monitored quantitatively. Finally, a series of thoughts and recommendations are provided to guide our future work for the early detection of serious geological hazards.
引文
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[9] Dai Keren,Li Zhenhong,Tomás R,et al.Monitoring Activity at the Daguangbao Mega-Landslide(China) Using Sentinel-1 TOPS Time Series Interferometry[J].Remote Sensing of Environment,2016,186:501-513
[10] Dong Jie,Zhang Lu,Li Menghua,et al.Measuring Precursory Movements of the Recent Xinmo Landslide in Mao County,China with Sentinel-1 and ALOS-2 PALSAR-2 Datasets[J].Landslides,2018,15(1):135-144
[11] Zhao Chaoying,Kang Ya,Zhang Qin,et al.Landslide Identification and Monitoring Along the Jinsha River Catchment (Wudongde Reservoir Area),China,Using the InSAR Method[J].Remote Sensing,2018,10(7):993
[12] Tang Yixian,Zhang Zhengjia,Wang Chao,et al.The Deformation Analysis of Wenjiagou Giant Landslide by the Distributed Scatterer Interferometry Technique[J].Landslides,2018,15(2):347-357
[13] Qu Tengteng,Lu Ping,Liu Chun,et al.Hybrid-Sar Technique:Joint Analysis Using Phase-Based and Amplitude-Based Methods for the Xishancun Giant Landslide Monitoring[J].Remote Sensing,2016,8(10):874
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[16] Zhao Chaoying,Zhang Qin,He Yang,et al.Small-Scale Loess Landslide Monitoring with Small Baseline Subsets Interferometric Synthetic Aperture Radar Technique—Case Study of Xingyuan Landslide,Shaanxi,China[J].Journal of Applied Remote Sensing,2016,10(2):026030
[17] Liu Xiaojie,Zhao Chaoying,Zhang Qin,et al.Multi-temporal Loess Landslide Inventory Mapping with C-,X- and L-Band SAR Datasets—A Case Study of Heifangtai Loess Landslides,China[J].Remote Sensing,2018,10(11):1 756
[18] Sun Qian,Hu Jun,Zhang Lei,et al.Towards Slow-Moving Landslide Monitoring by Integrating Multi-sensor InSAR Time Series Datasets:The Zhouqu Case Study,China[J].Remote Sensing,2016,8(11):908
[19] Xu Qiang.Constructing a New “Three-Check” System,Innovating New Mechanisms for Disaster Prevention and Control [OL].http://www.zgkyb.com/yw/20180312_48669.htm,2018(许强.构建新“三查”体系创新地灾防治新机制[OL].http://www.zgkyb.com/yw/20180312_48669.htm,2018)
[20] Chuan Newspaper Observation.Xu Qiang,Member of the National Committee of the Chinese People’s Political Consultative Conference in Sichuan:The Integration of Air and Space to Solve International Problems[OL].https://cbgc.scol.com.cn/currentaffairs/73373,2018(川报观察.住川全国政协委员许强:空天地一体化破解国际难题[OL].https://cbgc.scol.com.cn/currentaffairs/73373,2018)
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[22] Sina Watch.They Are “Insidious” Than the Earthquake,and This Problem Has not Been Solved for Ten Years[OL].http://k.sina.com.cn/article_2173867535_8192960f01900d7n1.html?cre=tianyi&mod=pcpager_inter&loc=11&r=9&doct=0&rfunc=57&tj=none&tr=9,2018(新浪看点.它们比地震还“阴险”,这道难题十年未解[OL].http://k.sina.com.cn/article_2173867535_8192960f01900d7n1.html?cre=tianyi&mod=pcpager_inter&loc=11&r=9&doct=0&rfunc=57&tj=none&tr=9,2018)
[23] Ge Daqing.Integrated Remote Sensing Application in Early Identification,Monitoring and Early Warning of Geological Hazards[J].City and Disaster Reduction,2018(6):53-60(葛大庆.地质灾害早期识别与监测预警中的综合遥感应用[J].城市与减灾,2018(6):53-60)
[24] He Ping,Xu Caijun,Wen Yangmao,et al.Analysis and Simulation for Time Series InSAR Error Model[J].Geomatics and Information Science of Wuhan University,2016,41(6):752-758(何平,许才军,温扬茂,等.时序 InSAR 的误差模型建立及模拟研究[J].武汉大学学报· 信息科学版,2016,41(6):752-758)
[25] Wasowski J,Bovenga F.Investigating Landslides and Unstable Slopes with Satellite Multi Temporal Interfero-metry:Current Issues and Future Perspectives[J].Engineering Geology,2014,174:103-138
[26] Crosetto M,Monserrat O,Cuevas-González M,et al.Persistent Scatterer Interferometry:A Review[J].ISPRS Journal of Photogrammetry and Remote Sensing,2016,115:78-89
[27] State Key Laboratory of Geo-hazard Prevention and Geo-environment Protection,Chengdu University of Technology.The Laboratory and the Natural Resources Department of Guizhou Province Jointly Hosted the “Special Symposium on Early Identification of Hidden Geological Hazards”[OL].http://www.sklgp.cdut.edu.cn/info/1018/2245.htm,2018(地质灾害防治与地质环境保护国家重点实验室(成都理工大学).实验室与贵州省自然资源厅联合主办“重大地质灾害隐患早期识别专题研讨会”[OL].http://www.sklgp.cdut.edu.cn/info/1018/2245.htm,2018)
[2] Ministry of Natural Resources.National Geological Disasters in 2018 and Prediction of Geological Disaster Trends in 2019[OL].https://baijiahao.baidu.com/s?id=1622170215265411461&wfr=spider&for=pc,2019(自然资源部.2018年全国地质灾害灾情及2019年地质灾害趋势预测[OL].https://baijiahao.baidu.com/s?id=1622170215265411461&wfr=spider&for=pc,2019)
[3] Ge Daqing.From InSAR Identification Detection of Landslide Deformation to Monitoring and Warning[OL].https://mp.weixin.qq.com/s/fPqzto6 ZDNVqLp9PzrTACw?tdsourcetag=s_pctim_aiomsg,2018(葛大庆.从滑坡形变的InSAR识别探测到监测预警[OL].https://mp.weixin.qq.com/s/fPqzto6ZDNVqLp9PzrTACw?tdsourcetag =s_pctim_aiomsg,2018)
[4] Xia Ye,Kaufmann H,Guo Xiaofang.Differential SAR Interferometry Using Corner Reflectors[C].IEEE International Geoscience and Remote Sensing Symposium,Toronto,Canada,2002
[5] Xia Ye,Fan Jinghui,Li Man,et al.Landslide Monitoring Technology with High-Resolution Radar Data in the Three Gorges Reservoir Area[C].The 18th China Symposium on Remote Sensing,Wuhan,China,2012(夏耶,范景辉,李曼,等.高分辨率雷达数据三峡库区滑坡监测技术[C].第十八届中国遥感大会,武汉,2012)
[6] Liu Peng,Li Zhenhong,Hoey T,et al.Using Advanced InSAR Time Series Techniques to Monitor Landslide Movements in Badong of the Three Gorges Region,China[J].International Journal of Applied Earth Observation and Geoinformation,2013,21:253-264
[7] Xia Ye,Kaufmann H,Guo Xiaofang.Landslide Monitoring in the Three Gorges Area Using D-InSAR and Corner Reflectors[J].Photogrammetric Engineering & Remote Sensing,2004,70(10):1 167-1 172
[8] Singleton A,Li Zhenhong,Hoey T,et al.Evaluating Sub-pixel Offset Techniques as an Alternative to D-InSAR for Monitoring Episodic Landslide Movements in Vegetated Terrain[J].Remote Sensing of Environment,2014,147:133-144
[9] Dai Keren,Li Zhenhong,Tomás R,et al.Monitoring Activity at the Daguangbao Mega-Landslide(China) Using Sentinel-1 TOPS Time Series Interferometry[J].Remote Sensing of Environment,2016,186:501-513
[10] Dong Jie,Zhang Lu,Li Menghua,et al.Measuring Precursory Movements of the Recent Xinmo Landslide in Mao County,China with Sentinel-1 and ALOS-2 PALSAR-2 Datasets[J].Landslides,2018,15(1):135-144
[11] Zhao Chaoying,Kang Ya,Zhang Qin,et al.Landslide Identification and Monitoring Along the Jinsha River Catchment (Wudongde Reservoir Area),China,Using the InSAR Method[J].Remote Sensing,2018,10(7):993
[12] Tang Yixian,Zhang Zhengjia,Wang Chao,et al.The Deformation Analysis of Wenjiagou Giant Landslide by the Distributed Scatterer Interferometry Technique[J].Landslides,2018,15(2):347-357
[13] Qu Tengteng,Lu Ping,Liu Chun,et al.Hybrid-Sar Technique:Joint Analysis Using Phase-Based and Amplitude-Based Methods for the Xishancun Giant Landslide Monitoring[J].Remote Sensing,2016,8(10):874
[14] Chen Qiang,Cheng Haiqin,Yang Yinghui,et al.Quantification of Mass Wasting Volume Associated with the Giant Landslide Daguangbao Induced by the 2008 Wenchuan Earthquake from Persistent Scatterer InSAR[J].Remote Sensing of Environment,2014,152:125-135
[15] Zhang Lu,Liao Mingsheng,Dong Jie,et al.Early Detection of Landslide Hazards in Mountainous Areas of West China Using Time Series SAR Interferometry-A Case Study of Danba,Sichuan[J].Geomatics and Information Science of Wuhan University,2018,43(12):2 039-2 049(张路,廖明生,董杰,等.基于时间序列InSAR分析的西部山区滑坡灾害隐患早期识别——以四川丹巴为例[J].武汉大学学报·信息科学版,2018,43(12):2 039-2 049)
[16] Zhao Chaoying,Zhang Qin,He Yang,et al.Small-Scale Loess Landslide Monitoring with Small Baseline Subsets Interferometric Synthetic Aperture Radar Technique—Case Study of Xingyuan Landslide,Shaanxi,China[J].Journal of Applied Remote Sensing,2016,10(2):026030
[17] Liu Xiaojie,Zhao Chaoying,Zhang Qin,et al.Multi-temporal Loess Landslide Inventory Mapping with C-,X- and L-Band SAR Datasets—A Case Study of Heifangtai Loess Landslides,China[J].Remote Sensing,2018,10(11):1 756
[18] Sun Qian,Hu Jun,Zhang Lei,et al.Towards Slow-Moving Landslide Monitoring by Integrating Multi-sensor InSAR Time Series Datasets:The Zhouqu Case Study,China[J].Remote Sensing,2016,8(11):908
[19] Xu Qiang.Constructing a New “Three-Check” System,Innovating New Mechanisms for Disaster Prevention and Control [OL].http://www.zgkyb.com/yw/20180312_48669.htm,2018(许强.构建新“三查”体系创新地灾防治新机制[OL].http://www.zgkyb.com/yw/20180312_48669.htm,2018)
[20] Chuan Newspaper Observation.Xu Qiang,Member of the National Committee of the Chinese People’s Political Consultative Conference in Sichuan:The Integration of Air and Space to Solve International Problems[OL].https://cbgc.scol.com.cn/currentaffairs/73373,2018(川报观察.住川全国政协委员许强:空天地一体化破解国际难题[OL].https://cbgc.scol.com.cn/currentaffairs/73373,2018)
[21] Ministry of Land and Resources.Notice of the Mi-nistry of Land and Resources on Printing and Distributing the 13th Five-Year Plan for the Prevention and Control of Geological Disasters in China[OL].http://www.cgs.gov.cn/tzgg/tzgg/201701/W020170103557462354074.doc,2016(国土资源部.国土资源部关于印发《全国地质灾害防治“十三五”规划》的通知[OL].http://www.cgs.gov.cn/tzgg/tzgg/201701/W020170103557462354074.doc,2016)
[22] Sina Watch.They Are “Insidious” Than the Earthquake,and This Problem Has not Been Solved for Ten Years[OL].http://k.sina.com.cn/article_2173867535_8192960f01900d7n1.html?cre=tianyi&mod=pcpager_inter&loc=11&r=9&doct=0&rfunc=57&tj=none&tr=9,2018(新浪看点.它们比地震还“阴险”,这道难题十年未解[OL].http://k.sina.com.cn/article_2173867535_8192960f01900d7n1.html?cre=tianyi&mod=pcpager_inter&loc=11&r=9&doct=0&rfunc=57&tj=none&tr=9,2018)
[23] Ge Daqing.Integrated Remote Sensing Application in Early Identification,Monitoring and Early Warning of Geological Hazards[J].City and Disaster Reduction,2018(6):53-60(葛大庆.地质灾害早期识别与监测预警中的综合遥感应用[J].城市与减灾,2018(6):53-60)
[24] He Ping,Xu Caijun,Wen Yangmao,et al.Analysis and Simulation for Time Series InSAR Error Model[J].Geomatics and Information Science of Wuhan University,2016,41(6):752-758(何平,许才军,温扬茂,等.时序 InSAR 的误差模型建立及模拟研究[J].武汉大学学报· 信息科学版,2016,41(6):752-758)
[25] Wasowski J,Bovenga F.Investigating Landslides and Unstable Slopes with Satellite Multi Temporal Interfero-metry:Current Issues and Future Perspectives[J].Engineering Geology,2014,174:103-138
[26] Crosetto M,Monserrat O,Cuevas-González M,et al.Persistent Scatterer Interferometry:A Review[J].ISPRS Journal of Photogrammetry and Remote Sensing,2016,115:78-89
[27] State Key Laboratory of Geo-hazard Prevention and Geo-environment Protection,Chengdu University of Technology.The Laboratory and the Natural Resources Department of Guizhou Province Jointly Hosted the “Special Symposium on Early Identification of Hidden Geological Hazards”[OL].http://www.sklgp.cdut.edu.cn/info/1018/2245.htm,2018(地质灾害防治与地质环境保护国家重点实验室(成都理工大学).实验室与贵州省自然资源厅联合主办“重大地质灾害隐患早期识别专题研讨会”[OL].http://www.sklgp.cdut.edu.cn/info/1018/2245.htm,2018)
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