一种叙利亚战争城市破坏程度的评估方法  

An assement method of urban destruction degree in Syria War

作　　者：范俊甫[1,2] 何惠馨[1] 胡桃英 闫帅 崔文博 FAN Junfu;HE Huixin;HU Taoying;YAN Shuai;CUI Wenbo(School of Civil and Architectural Engineering,Shandong University of Technology,Zibo,Shandong 255049,China;State Key Laboratory of Resources and Environmental Information System,Institute,of Geographic and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China)

机构地区：[1]山东理工大学建筑工程学院,山东淄博255049 [2]中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室,北京100101

出　　处：《测绘科学》2018年第9期129-134,共6页Science of Surveying and Mapping

基　　金：国家自然科学基金项目(41501425);国家重点研发计划项目(2017YFB0503501);山东省重点研发计划项目(2016GSF122006;2015GSF122008);山东省高等学校科技计划项目(J16LH03);资源与环境信息系统国家重点实验室开放基金项目;山东理工大学青年教师发展支持计划项目(4072-115016)

摘　　要：针对叙利亚爆发内战中城市发展及人民的生产生活受到的严重影响的问题,该文采用二次多项式模型对叙利亚地区的DMSP/OLS稳定夜间灯光数据进行校正,采用基于经验阈值的图像分割方法提取叙利亚境内城市区域,在此基础上选取9个景观生态学指标定量评估叙利亚内战对该地区城市的破坏程度,分析该地区城市化进程的发展特点和城市区域分布的时空变化特征。实验结果表明:叙利亚境内几乎所有的城市都受到了战争的严重破坏;城市区域斑块形状的复杂程度明显降低;城市区域所有斑块的整体景观复杂度升高;核心城市与周围城镇的景观斑块连通性逐年减小,城市间的彼此联系变弱。Since the outbreak of the civil war of Syrian Arab Republic,the cities in this country have been destroyed badly and the local people have suffered much in production and lives.This paper used a quadratic polynomial model to correct the stable nighttime light images,carried out a segmentation operation on all of the corrected images and extracted the patches of all cities in Syria,then selected nine landscape ecology metrics to estimate the level of destruction and figure out the specificities of urbanization progress of cities in this area.The results show that,almost all of the cities in Syria are seriously damaged in the war,the complexities of shapes of urban area patches are decreased and the complexity of the whole urban area landscape is rapidly increased.The connectivity between the core cities and circumjacent small cities are become weaker year by year,which indicates that neighboring cities are losing their connections because of the civil war.

关 键 词：DMSP/OLS 叙利亚内战 经验阈值 空间格局 城市化仿真 

分 类 号：P237[天文地球—摄影测量与遥感]