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作 者:冯志雄 丁伟[1,2,3] 潘亚茹 刘彦廷 彭绍淘 骆家国 冯光财 FENG Zhixiong;DING Wei;PAN Yaru;LIU Yanting;PENG Shaotao;LUO Jiaguo;FENG Guangcai(Guangzhou Urban Planning and Design Survey Research Institute Co Ltd,10 Jianshe Road,Guangzhou 510060,China;Collaborative Innovation Center for Natural Resources Planning and Marine Technology of Guangzhou,10 Jianshe Road,Guangzhou 510060,China;Guangdong Enterprise Key Laboratory for Urban Sensing,Monitoring and Early Warning,10 Jianshe Road,Guangzhou 510060,China;School of Geosciences and Info-Physics,Central South University,932 South-Lushan Road,Changsha 410083,China)
机构地区:[1]广州市城市规划勘测设计研究院有限公司,广州市510060 [2]广州市资源规划和海洋科技协同创新中心,广州市510060 [3]广东省城市感知与监测预警企业重点实验室,广州市510060 [4]中南大学地球科学与信息物理学院,长沙市410083
出 处:《大地测量与地球动力学》2024年第12期1220-1224,1255,共6页Journal of Geodesy and Geodynamics
摘 要:以2018年印度尼西亚Palu地震触发的低坡度滑坡为例,利用Planet、Landsat-8和Sentinel-2等3种光学影像对Gumbasa水渠沿线高含水量区域的地表形变进行监测和精度评估。结果表明:1)3种独立的光学卫星获得的形变场结果具有较好一致性,且Planet获得的形变场结果精度最高;2)沿Gumbasa水渠分布有4个主要形变区,最大形变超过20 m;3)光学影像地表形变监测精度与影像空间分辨率之间并非呈现简单的线性关系。最后,通过滑坡位置、地物属性和水渠的空间位置分析地震触发滑坡的机理。We investigate the low slope landslides triggered by the 2018 Palu earthquake in Indonesia.We use three kinds of optical images(Planet,Landsat-8 and Sentinel-2)to monitor and evaluate the surface deformation along the Gumbasa canal.The results show that:1)the deformation field results obtained by the three independent optical satellites are of good consistency,and the deformation field results obtained by Planet have the highest accuracy;2)there are four main deformation zones along the Gumbasa canal,and the maximum deformation exceeds 20 m;3)there is not a simple linear relationship between the surface deformation monitoring accuracy of optical images and the spatial resolution of the image.Besides,we analyze the mechanism of earthquake-triggered landslides by the landslides location,ground object properties and the spatial location of the canal.
分 类 号:P237[天文地球—摄影测量与遥感] P258[天文地球—测绘科学与技术] P315
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