基于遥感影像的震后避难空间快速提取模型研究——以2021年云南漾濞M_(S)6.4地震为例  

Study on the Rapid Extraction Model of Post-earthquake Shelter Sites Based on Remote Sensing Images:A Case Study of the Yangbi M_(S)6.4 Earthquake

作　　者：杜浩国 林旭川[2] 卢永坤[1] 张方浩[1] 张笑笑 徐俊祖 和仕芳 DU Haoguo;LIN Xuchuan;LU Yongkun;ZHANG Fanghao;ZHANG Xiaoxiao;XU Junzu;HE Shifang(Yunnan Earthquake Agency,Kunming 650224,Yunnan,China;Institute of Engineering Mechanics,China Earthquake Administration,Harbin 150080,Heilongjiang,China;School of Earth Science,Yunnan University,Kunming 650031,Yunnan,China)

机构地区：[1]云南省地震局,云南昆明650224 [2]中国地震局工程力学研究所,黑龙江哈尔滨150080 [3]云南大学地球科学学院,云南昆明650031

出　　处：《地震研究》2023年第1期116-127,共12页Journal of Seismological Research

基　　金：云南省地震局青年科技专项(2022ZX01);云南省地震局“传帮带”项目(CQ3-2021001)联合资助;中国地震局地震科技星火计划(XH23035YB)。

摘　　要：震后避难空间是居民遭遇地震时紧急疏散、避难、临时生活的重要区域。以无人机影像为基础,采用影像面向对象分类与GIS栅格化的分析方法,构建震后避难空间评价指标,建立基于遥感影像的震后避难空间快速提取模型,并以2021年云南漾濞M_(S)6.4地震为例,将避难空间提取的结果与震后居民实际选取的避难空间进行比较。结果表明:模型共计提取可用避难空间70个,根据目标函数F得到最优避难空间5个,其中每个避难空间在漾濞M_(S)6.4地震中实际帐篷数量分别为72、55、54、30、44顶,模型计算结果与实际结果匹配。Emergency shelter sites are important for the earthquake-hit residents to evacuate and take refuge after an earthquake.Based on UAV remote sensing images,we use the object-oriented classification method and the GIS rasterization method to analyze the UAV images,thus to decide the evaluation indexes for post-earthquake shelter sites,and to build the rapid extraction model of post-earthquake shelter sites.We use our model to extract shelter sites in Yangbi County,and obtain 70 available shelters.And according to the objective function F,we obtain 5 optimal shelters.We compare our results with the actual shelter sites chosen by the local residents after the Yangbi M_(S)6.4 Earthquake.The number of tents put up on 5 shelter sites after the Yangbi M_(S)6.4 Earthquake was 72,55,54,30 and 44,respectively.The calculated results from the model match with the actual situation.

关 键 词：无人机影像 避难空间 面向对象分类 GIS栅格化 漾濞M_(S)6.4地震 

分 类 号：P315.9[天文地球—地震学]