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作 者:王鑫 窦爱霞[1] 袁小祥[1,2] 丁玲 王晓青[1] WANG Xin;DOU Aixia;YUAN Xiaoxiang;DING Ling;WANG Xiaoqing(Institute of Earthquake Forecasting, China Earthquake Administration, Beijing 100036, China;Institute of Engineering Mechanics, China Earthquake Administration, Harbin 150080, China)
机构地区:[1]中国地震局地震预测研究所,北京100036 [2]中国地震局工程力学研究所,哈尔滨150080
出 处:《航天器工程》2022年第3期195-203,共9页Spacecraft Engineering
基 金:高分辨率对地观测重大专项(民用部分)科研项目。
摘 要:以2014年鲁甸地震重灾区为研究区,通过目视解译方法对研究区内的滑坡体进行识别,采用定性评价与定量评价、基础评价与应用评价相结合的方法,对环境减灾二号A/B卫星及高分一号、六号卫星对滑坡的识别能力进行对比分析。结果表明:环境减灾二号A/B卫星可识别出地震后全部大型滑坡、部分中型滑坡和个别小型滑坡。与相同分辨率的高分一号卫星影像相比,环境减灾二号A/B卫星具有相当的滑坡识别能力,并且具有幅宽较大的优势,对于快速识别大型滑坡等地质灾害和确定极灾区范围,具有较好的应用前景。Taking the hardest hit area of Ludian earthquake in 2014 as the study area,the landslide bodies in the study area are identified by visual interpretation method.The method of combining qualitative,quantitative,basic,and application evaluation is used to compare and analyze the ability of HJ-2A/B,GF-1 and GF-6 satellites to identify landslides.The results show that HJ-2A/B satellites can identify all large-scale landslides,some medium-sized landslides and individual small-scale landslides after the earthquake.Compared with GF-1 satellite image of the same resolution,the abilities to identify landslides of HJ-2A/B satellites are comparable,and large width of their images is also an advantage,which make good application prospects for quickly identifying geological disasters such as large-scale landslides and determining the scope of extremely disaster areas.
关 键 词:环境减灾二号A/B卫星 地震次生地质灾害 滑坡识别能力
分 类 号:V19[航空宇航科学与技术—人机与环境工程]
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