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国土资源遥感  2014, Vol. 26 Issue (3): 153-159    DOI: 10.6046/gtzyyg.2014.03.25
  技术应用 本期目录 | 过刊浏览 | 高级检索 |
基于CBERS数据的福建南平地质灾害动态遥感解译
徐岳仁1, 何宏林2, 陈立泽1, 申旭辉1
1. 中国地震局地震预测研究所, 北京 100036;
2. 中国地震局地质研究所活动构造与火山重点实验室, 北京 100029
Dynamic remote sensing interpretation of geological disasters in Nanping City of Fujian Province using CBERS serial data
XU Yueren1, HE Honglin2, CHEN Lize1, SHEN Xuhui1
1. Institute of Earthquake Science, China Earthquake Administration, Beijing 100036, China;
2. Key Laboratory of Active Tectonics and Volcano, Institute of Geology, China Earthquake Administration, Beijing 100029, China
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摘要 利用多期中巴地球资源卫星(CBERS)数据开展灾害发生年际变化规律的遥感解译回溯性研究,对拓展国产遥感数据在地质灾害研究中的应用具有重要意义。以灾害频发的福建省南平市为研究区,收集1999-2008年的11景CBERS图像,建立灾害解译标志;采用基于GIS的人机交互综合解译方法,结合野外考察和验证,获取8个年度(2001年和2002年无图像可用)的灾害点共2 059处。动态分析结果表明,研究区内地质灾害在空间上集中发生在居民点周边、公路切坡、幼林地和经济林地等处,在时间上集中发生于2000年和2005年(分别发生582处和766处,占8个年度灾害总数的65%),表现出灾害发生的时空不均一性。研究表明,研究区灾害以因强降雨过程触发的浅层土质滑坡为主,利用CBERS数据可开展地质灾害发育规律的逐年动态变化监测。
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关键词 微波地表发射率沙漠地区土壤类型气候因子    
Abstract:It is important to expand the application of domestic satellite data such as China-Brazil Earth Resource Satellite(CBERS) images for backtracking interpretation research in such areas year-by-year. In this paper,with the Nanping City in northwestern Fujian Province as the study area,the authors collected the related eleven CBERS images acquired during 1999-2008,and established the image interpretation keys to the disasters. The visual interpretation method based on GIS platform was used in combination with the field studies,and a total of 2 059 interpreted disaster points were obtained during the past 8 years, with no data obtained in 2001 and 2002. The results of dynamic analysis show that the geological disasters in he study area were mainly the shallow landslides that concentratedly happened in 2000 and 2005. They reached 582 and 766 sites respectively, possessed 65% of the total landslides, and were distributed near residential and traffic districts, showing heterogeneous temporal and spatial characteristics. It is held that CBERS images can be employed for dynamic survey of geological disasters.
Key wordsmicrowave land surface emissivity    desert    soil type    climate factors
收稿日期: 2013-08-12      出版日期: 2014-07-01
:  TP753  
  P694  
基金资助:科技部国际科技合作项目(编号:2012DFR20440,2010DFB20190)资助。
作者简介: 徐岳仁(1981-),男,博士,助理研究员,主要研究方向为地质灾害遥感解译、活动构造与构造地貌定量研究。Email:yuefei189@gmail.com。
引用本文:   
徐岳仁, 何宏林, 陈立泽, 申旭辉. 基于CBERS数据的福建南平地质灾害动态遥感解译[J]. 国土资源遥感, 2014, 26(3): 153-159.
XU Yueren, HE Honglin, CHEN Lize, SHEN Xuhui. Dynamic remote sensing interpretation of geological disasters in Nanping City of Fujian Province using CBERS serial data. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(3): 153-159.
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https://www.gtzyyg.com/CN/10.6046/gtzyyg.2014.03.25      或      https://www.gtzyyg.com/CN/Y2014/V26/I3/153
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