Journal of Jilin University(Earth Science Edition) ›› 2016, Vol. 46 ›› Issue (1): 175-186.doi: 10.13278/j.cnki.jjuese.201601201

Previous Articles     Next Articles

Regional Landslide Risk Assessment Using Multi-Source Remote Sensing Data

Peng Ling1,2, Xu Suning2, Peng Junhuan1   

  1. 1. School of Land Science and Technology, China University of Geosciences, Beijing 100083, China;
    2. China Institute of Geo-Environment Monitoring, Beijing 100081, China
  • Received:2015-04-19 Online:2016-01-26 Published:2016-01-26
  • Supported by:

    Supported by the China Postdoctoral Science Foundation Funded Project (2014M560103), the National High-Tech R&D Program of China (2012AA121303), and the Special Project of Satellite and Application of Industry Development (2083[2012], General Office, NDRC)

PDF (PC)

880

Abstract:

Landslide risk management is an effective way for disaster prevention and mitigation, in which risk assessment is essential. The head area of the Three Gorges is selected as the study area. Using multi-source remote sensing data as the major data source, the authors extracted the environment information pregnant with landslides including geomorphological, land cover, geological, and hydrology by stereo image processing and spectral analysis, and analyzed the landslide hazard by using the random forest model. Furthermore, the rule of extraction for typical elements at risk is established through the approach of object-oriented image analysis, and then the building and road information is extracted from the high-resolution satellite images. Finally, a landslide risk map is developed by integrating the elements at risk and landslide hazard datasets. According to the map, 9% of the study area is identified as high-risk zones encompassing 41 km2, and these high-risk areas are located in county and towns covered by transportation networks and other urbanized areas with high density of populations and property. The results of the risk assessment are basically consistent with the field observation and survey.

Key words: landslides, hazard, elements at risk, risk assessment, remote sensing, Three Gorges

CLC Number: 

  • P642.22

[1] Sassa K, Rouhban B, Briceño S, et al. Landslides:Global Risk Preparedness[M]. Berlin:Springer Berlin Heidelberg, 2013.

[2] Australian Geomechanics Society (AGS). Landslide Risk Management Concepts and Guidelines[J]. Australian Geomechanics, 2000, 35(1):49-92.

[3] Spiker E C, Gori P. National Landslide Hazards Mitigation Strategy:A Framework for Loss Reduction[R]. Virginia:Reston Press, 2003.

[4] Wise M P, Moore G D, VanDine D F. Landslide Risk Case Studies in Forest Development Planning and Operations[EB/OL].[2014-12-10] http://www.for.gov.bc.ca/hfd/pubs/Docs/Lmh/Lmh56.htm.

[5] Lateltin O, Haemmig C, Raetzo H, et al. Landslide Risk Management in Switzerland[J]. Landslides, 2005, 2(4):313-320.

[6] Fell R, Corominas J, Bonnard C, et al. Guidelines for Landslide Susceptibility, Hazard and Risk Zoning for Land Use Planning[J]. Engineering Geology, 2008, 102(3/4):85-98.

[7] Porter M, Morgenstern N. Landslide Risk Evaluation:Canadian Technical Guidelines and Best Practices Related to Landslides:A National Initiative for Loss Reduction[EB/OL].[2014-12-10] http://geoscan.nrcan.gc.ca.

[8] Corominas J, Westen C, Frattini P, et al. Recommendations for the Quantitative Analysis of Landslide Risk[J]. Bulletin of Engineering Geology and the Environment, 2014, 73(2):209-263.

[9] Bell R, Glade T. Quantitative Risk Analysis for Lan-dslides:Examples from Bíldudalur, NW-Iceland[J]. Natural Hazards and Earth System Sciences, 2004, 4:117-131.

[10] Remondo J, Bonachea J, Cendrero A. Quantitative Landslide Risk Assessment and Mapping on the Basis of Recent Occurrences[J]. Geomorphology, 2008, 94:496-507.

[11] Zêzere J L, Garcia R A C, Oliveira S C, et al. Probabilistic Landslide Risk Analysis Considering Direct Costs in the Area North of Lisbon (Portugal)[J]. Geomorphology, 2008, 94:467-495.

[12] Pellicani R, Van Westen C J, Spilotro G. Assessing Landslide Exposure in Areas with Limited Landslide Information[J]. Landslides, 2014, 11(3):463-480.

[13] 马寅生,张业成,张春山,等.地质灾害风险评价的理论与方法[J].地质力学学报,2004,10(1):7-18. Ma Yinsheng, Zhang Yecheng, Zhang Chunshan, et al. Theory and Approaches to the Risk Evaluation of Geological Hazards[J]. Journal of Geomechanics, 2004, 10(1):7-18.

[14] 汪华斌, 吴树仁. 滑坡灾害风险评价的关键理论与技术方法[J]. 地质通报,2008,27(11):1764-1770. Wang Huabin, Wu Shuren. Key Theory and Method of Landslide Hazard Risk Assessments[J]. Geological Bulletin of China, 2008, 27(11):1764-1770.

[15] 胡瑞林,范林峰,王珊珊,等. 滑坡风险评价的理论与方法研究[J]. 工程地质学报,2013,21(1):76-84. Hu Ruilin, Fan Linfeng, Wang Shanshan, et al. Theory and Method for Landslide Risk Assessment:Current Status and Future Development[J]. Journal of Engineering Geology, 2013, 21(1):76-84.

[16] 乔建平,王萌,石莉莉. 区域滑坡风险评估中的风险区划与概率分析[J]. 自然灾害学报,2012,21(2):51-56. Qiao Jianping, Wang Meng, Shi Lili. Risk Zoning and Probability Analysis of Regional Landslide Risk Assessment[J]. Journal of Natural Disasters, 2012, 21(2):51-56.

[17] 殷坤龙,张桂荣,陈丽霞,等. 滑坡灾害风险分析[M]. 北京:科学出版社,2010. Yin Kunlong, Zhang Guirong, Chen Lixia, et al. Risk Analysis of Landslide Hazard[M]. Beijing:Science Press, 2010.

[18] 吴树仁,石菊松,张春山,等.滑坡风险评估理论与技术[M].北京:科学出版社,2012. Wu Shuren, Shi Jusong, Zhang Chunshan, et al. The Theory and Technology of Landslide Risk Assessment[M]. Beijing:Science Press, 2012.

[19] 石菊松. 基于遥感和地理信息系统的滑坡风险评估关键技术研究[D]. 北京:中国地质科学院,2008. Shi Jusong. Key Techniques Study of Remote Sensing and Geographic Information System Based Landslide Risk Assessment[D]. Beijing:China Academy of Geological Sciences, 2008.

[20] 唐亚明,张茂省,薛强. 一种大比例尺的滑坡风险区划方法:以延安市区黄土滑坡风险评价为例[J]. 地质通报,2011,30(1):166-172. Tang Yaming, Zhang Maosheng, Xue Qiang. Landslide Risk Assessment Methods and Flow on a Large Scale:A Case Study of Loess Landslides Risk Assessment in Yan'an Urban Districts, Shaanxi, China[J]. Geological Bulletin of China, 2011, 30(1):166-172.

[21] 彭令,牛瑞卿,赵艳南,等. 区域滑坡灾害风险评估:以长江三峡库区秭归县境内为例[J]. 吉林大学学报(地球科学版),2013,43(3):891-901. Peng Ling, Niu Ruiqing, Zhao Yannan, et al. Risk Assessment of a Regional Landslide:A Case of Zigui County Territory in Three Gorges Reservoir[J]. Journal of Jilin University(Earth Science Edition), 2013, 43(3):891-901.

[22] Akgun A, K?ncal C, Pradhan B. Application of Remote Sensing Data and GIS for Landslide Risk Assessment as an Environmental Threat to Izmir City (West Turkey)[J]. Environmental Monitoring and Assessment, 2012, 184(9):1-18.

[23] 王孔伟,张帆,邱殿明.三峡库区黄陵背斜形成机理及与滑坡群关系[J]. 吉林大学学报(地球科学版),2015,45(4):1142-1154. Wang Kongwei, Zhang Fan, Qiu Dianming. Relation of Huangling Anticline and Landslide Group in the Three Gorges Reservoir Area[J]. Journal of Jilin University(Earth Science Edition), 2015,45(4):1142-1154.

[24] 地质矿产部编写组. 长江三峡工程库岸稳定性研究[M]. 北京:地质出版社,1988. Working Group of Ministry of Geology and Mineral Resources. Unstability Problems of the Slope Along Yangtze River in the Region of the Three Gorges Project[M]. Beijing:Geological Publishing House, 1988.

[25] 牛瑞卿,彭令,叶润青,等. 基于粗糙集的支持向量机滑坡易发性评价[J]. 吉林大学学报(地球科学版),2012,42(2):431-439. Niu Ruiqing, Peng Ling, Ye Runqing, et al. Lan-dslide Susceptibility Assessment Based on Rough Sets and Support Vector Machine[J]. Journal of Jilin University(Earth Science Edition), 2012, 42(2):431-439.

[26] Breiman L. Random Forests[J]. Machine Learning, 2001, 45(1):5-32.
[1] Gao Yuan, Hou Chunping, Li Menglong, Ma Dan, Yang Yang. Anomaly Detection Driven Semi-Supervised Multi-Task Retrieval Algorithm for Sea Ice Based on GNSS-R [J]. Journal of Jilin University(Earth Science Edition), 2026, 56(3): 1088-1106.
[2] Liu Hongxue, Yang Huachao, Bian Hefang, Li Bin, Li Lei, Wang Sen.  Intelligent Extraction of Remote Sensing Image Change Patches Based on Deep Learning and Human-Computer Collaboration in Coal Mine Surface Areas [J]. Journal of Jilin University(Earth Science Edition), 2026, 56(3): 1076-1087.
[3] Liu Gang, Peng Yiqun, Xu Hao, Pei Jiangtao, Luo Zujiang.

Optimization Design of Land Subsidence Monitoring Network Based on Statistics [J]. Journal of Jilin University(Earth Science Edition), 2025, 55(4): 1240-1255.

[4] Liu Bo , Li Shinong, Li Wei, Wang Wenpeng, Lu Chengpeng, Shu Longcang. Risk Assessment of Regional Land Subsidence Based on Raster Information Quantity Method： Case Study in Cangzhou City of Hebei Province [J]. Journal of Jilin University(Earth Science Edition), 2025, 55(3): 919-929.
[5] Wang Mingchang, Yu Haibin, Zeng Zhaofa, Wang Dian, Han Fuxing, Zhang Jian, Luo Xiujie, Leng Liang, Liu Ziwei.  Prediction of Urban Road Collapse Susceptibility Based on Multi-Source Remote Sensing Data [J]. Journal of Jilin University(Earth Science Edition), 2025, 55(3): 1028-1038.
[6] Wang Minshui, Wang Mingchang, Wang Jingyu, Liu Ziwei. Remote Sensing Image Classification Based on Fusion of Attention Mechanism and Weight Balance Algorithm [J]. Journal of Jilin University(Earth Science Edition), 2025, 55(2): 697-704.
[7] Yang Xiaotian, Tan Jinlin, Yu Xin, Zhao Junzhe, Liu Ming. Ship Target Tracking Based on GAM-YOLOv8 Remote Sensing Images [J]. Journal of Jilin University(Earth Science Edition), 2025, 55(1): 328-339.
[8] An Xuelian, Mi Changlin, Sun Deliang, Wen Haijia, Li Xiaoqin, Gu Qingyu, Ding Yuekai. Comparison of  Landslide Susceptibility in Three Gorges Reservoir Area Based on Different Evaluation Units——Take Yunyang County in Chongqing as an Example [J]. Journal of Jilin University(Earth Science Edition), 2024, 54(5): 1629-1644.
[9] Wang Wei, Xiong Yizhou, Wang Xin. NHNet: A Novel Hierarchical Semantic Segmentation Network for Remote Sensing Images [J]. Journal of Jilin University(Earth Science Edition), 2024, 54(5): 1764-1772.
[10] Lin Yuzhun, Liu Zhi, Wang Shuxiang, Rui Jie, Jin Fei .  Research Progress of Road Extraction Method for Optical Remote Sensing Images Based on Convolutional Neural Network [J]. Journal of Jilin University(Earth Science Edition), 2024, 54(3): 1068-1080.
[11] Wang Mingchang, Ding Wen, Zhao Jingzheng, Wu Linlin, Wang Fengyan, Ji Xue. Remote Sensing Identification of Dendrolimus Superans Infestation Based on Knowledge Graph and Random Forest [J]. Journal of Jilin University(Earth Science Edition), 2023, 53(6): 2006-2017.
[12] Xiong Chao, Sun Hongyue. Step-Like Landslide Displacement Prediction Based on Multi-Factor and Multi-Scale Analysis [J]. Journal of Jilin University(Earth Science Edition), 2023, 53(4): 1175-1184.
[13] Yan Baizhong, Li Yao, Qin Guangxiong, Yu Kaining, Wu Yunxia , Wang Yanan. Prediction of Dry-Hot Rock Targets with Multivariate Information in Guide Basin Based on Remote Sensing Technology [J]. Journal of Jilin University(Earth Science Edition), 2023, 53(4): 1288-1300.
[14] Zhao Zhonghai, Qiao Kai, Sun Jinggui, Chen Jun, Cui Xiaomeng, Liang Shanshan, Manirambona Alain Jospin. Extraction Method of Alternation Anomaly Information Based on Remote Sensing Prospecting in the Jianbian Farm Area, Heilongjiang Province [J]. Journal of Jilin University(Earth Science Edition), 2023, 53(4): 1275-1275.
[15] Li Meilin, Rui Jie, Jin Fei, Liu Zhi, Lin Yuzhun. Remote Sensing Image Target Detection Algorithm Based on Improved YOLOX [J]. Journal of Jilin University(Earth Science Edition), 2023, 53(4): 1313-1322.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] Wu Yuankun, Liu Chenglin, Yu Chunyong.. Main Controlling Factors and Accumulation Mode of Deep Oil in Shuangcheng Fault Depression of Songliao Basin[J]. Journal of Jilin University(Earth Science Edition), 2024, 54(5): 1443 -1456 .
[2] Ma Rong, Shi Jiansheng, Liu Jichao. Application of Artificial Endocrine Network Model in Studying of Hydrogeology Parameter[J]. Journal of Jilin University(Earth Science Edition), 2013, 43(3): 914 -921 .
[3] Li Ning, Wang Chengwen. Formation and Evolution of Jiamusi-Mongolia Block and Contact Relationship of Late Paleozoic Strata in Northeast China and Adjacent Region[J]. Journal of Jilin University(Earth Science Edition), 2017, 47(5): 1331 -1340 .
[4] HU Da-qian, CHU Feng-you, YAO Jie. The Mineral Composition and Element Geochimestry of CoEnriched Crust from the YJA Sea Mount in the Central Pacific Ocean[J]. J4, 2006, 36(01): 32 -0037 .
[5] JIANG Xue, CHENG Ri-hui, YU Min-feng. Climate and Tectonic Controls on the Rift Stratigraphy:Analysis of Zscape Model and its Application in the BeianFaulting Depression of the Songliao Basin[J]. J4, 2006, 36(01): 54 -0059 .
[6] LI Chun-bai，ZHANG Xin-tao，LIU Li，REN Yan-guang,MENG Peng. The Thermal Fluid Activities and Their Modification on Volcaniclastic Rock in Budate Group-An Example from the Beier Sag of Hailaer Basin[J]. J4, 2006, 36(02): 221 -0226 .
[7] Meng Xiangang, Bo Wanju, Liu Zhiguang, LiuYong, Chang Liu, Li Chaozhu, Wang Ziping. Activity in the Middle East of Bayan Har Block with Lushan MS 7.0 Earthquake[J]. Journal of Jilin University(Earth Science Edition), 2014, 44(5): 1705 -1711 .
[8] Chen Huanqing, Liang Shuxian, Shu Zhirui, Deng Xiaojuan, Peng Shouchang. Characteristics of Conglomerate Reservoir Architecture of Alluvial Fan and Its Controlling Effects to Reservoir Development:Taking Alluvial Fan Reservoir in Some Area of Northwest Margin of Junggar Basin as an Example[J]. Journal of Jilin University(Earth Science Edition), 2015, 45(1): 13 -24 .
[9] JIA Dacheng, XING Lixin, PAN Jun, M. J. van Bergen, H. van Roermund. Geochemical Characteristics of the AluminumEnriched Spinels in Xenoliths from the Upper Mantle Shear Belt in Yitong，Northeastern China[J]. J4, 2006, 36(04): 497 -502 .
[10] XIE Zhong-lei, YANG Bai-ling, BAO Guo-zhang,DONG De-ming. Fractionation and Its Affecting Factors of Nickel in Tea Garden Soils[J]. J4, 2006, 36(04): 599 -604 .
Copyright © Journal of Jilin University(Earth Science Edition), All Rights Reserved.
Tel: +86-431-88502374；13756165364　E-mail: xuebao1956@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd