多源遥感数据支持下区域滑坡灾害风险评价

doi:10.13278/j.cnki.jjuese.201601201

吉林大学学报(地球科学版) ›› 2016, Vol. 46 ›› Issue (1): 175-186.doi: 10.13278/j.cnki.jjuese.201601201

多源遥感数据支持下区域滑坡灾害风险评价

彭令^1,2, 徐素宁², 彭军还¹

1. 中国地质大学(北京)土地科学技术学院, 北京 100083;
2. 中国地质环境监测院, 北京 100081

收稿日期:2015-04-19 出版日期:2016-01-26 发布日期:2016-01-26
作者简介:彭令(1984),男,在站博士后,主要从事地质灾害与遥感地质方面的研究工作,E-mail:penglmail@126.com
基金资助:
中国博士后科学基金项目(2014M560103);国家"863"计划项目(2012AA121303);发改委卫星及应用产业发展专项项目(发改办高技[2012]2083号)

Regional Landslide Risk Assessment Using Multi-Source Remote Sensing Data

Peng Ling^1,2, Xu Suning², Peng Junhuan¹

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)

摘要/Abstract

摘要：

滑坡风险管理是防灾减灾的有效途径之一,而灾害风险评价是风险管理的基础和依据。以三峡库首区为研究区、多源遥感影像为主要数据源,利用立体像对技术及光谱分析等方法快速提取地形地貌、地表覆被、地质及水文条件等滑坡孕灾环境信息,应用随机森林模型分析区域滑坡危险性;采用面向对象方法建立典型承灾体识别规则,快速提取建筑物及交通道路等信息,综合分析滑坡危险性及承灾体信息,以实现区域滑坡灾害风险评价。结果显示:高风险区面积为41 km²,约占研究区面积的9%,主要集中于人口聚集的城镇和交通建设用地等经济价值大的地区。其评价结果与野外实地调查情况基本吻合。

关键词: 滑坡, 危险性, 承灾体, 风险评价, 遥感, 三峡

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

中图分类号:

P642.22

彭令, 徐素宁, 彭军还. 多源遥感数据支持下区域滑坡灾害风险评价[J]. 吉林大学学报(地球科学版), 2016, 46(1): 175-186.

Peng Ling, Xu Suning, Peng Junhuan. Regional Landslide Risk Assessment Using Multi-Source Remote Sensing Data[J]. Journal of Jilin University(Earth Science Edition), 2016, 46(1): 175-186.

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多源遥感数据支持下区域滑坡灾害风险评价

Regional Landslide Risk Assessment Using Multi-Source Remote Sensing Data

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