Interpretation of earthquake-induced landslides triggered by the 12 May 2008, M7.9 Wenchuan earthquake in the Beichuan area, Sichuan Province, China using satellite imagery and Google Earth
Interpretation of earthquake-induced landslides triggered by the 12 May 2008, M7.9 Wenchuan earthquake in the Beichuan area, Sichuan Province, China using satellite imagery and Google Earth
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DOI：
10.1007/s10346-009-0147-6
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发表时间：
2009-04
期刊：
影响因子：
6.7
通讯作者：
Hiroshi Sato;E. Harp
中科院分区：
文献类型：
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作者：
Hiroshi Sato;E. Harp
2008年5月12日发生在中华人民共和国汶川的7.9级地震为国际社会提供了一个独特的机会，使其能够利用谷歌地球等通用地理信息系统工具，迅速评价和评估破坏性地震及其余震引发的滑坡灾害。为了绘制地震引发的山体滑坡，我们提供了由GE提供的FORMOSAT-2（以前的ROCSAT-2;中华民国卫星2）的地震后和地震前3天的公开图像的适用性和局限性的细节。我们解释了8米分辨率FORMOSAT-2图像上的滑坡的GE，结果，257个大型滑坡被映射的最高浓度沿着北川断裂。根据现有图像的分辨率，密度估计为每平方公里0.3处滑坡，这是密度的最低限度;分辨率更高的数据会发现更多的滑坡。这是一个初步的研究，需要进一步的研究，详细了解滑坡的特点。虽然最好是从高分辨率的卫星图像中获得滑坡位置和测量值，但人们发现，通用电气是一种有效和快速的侦察工具。
The 12 May 2008 M7.9 Wenchuan earthquake in the People’s Republic of China represented a unique opportunity for the international community to use commonly available GIS (Geographic Information System) tools, like Google Earth (GE), to rapidly evaluate and assess landslide hazards triggered by the destructive earthquake and its aftershocks. In order to map earthquake-triggered landslides, we provide details on the applicability and limitations of publicly available 3-day-post- and pre-earthquake imagery provided by GE from the FORMOSAT-2 (formerly ROCSAT-2; Republic of China Satellite 2). We interpreted landslides on the 8-m-resolution FORMOSAT-2 image by GE; as a result, 257 large landslides were mapped with the highest concentration along the Beichuan fault. An estimated density of 0.3 landslides/km2represents a minimum bound on density given the resolution of available imagery; higher resolution data would have identified more landslides. This is a preliminary study, and further study is needed to understand the landslide characteristics in detail. Although it is best to obtain landslide locations and measurements from satellite imagery having high resolution, it was found that GE is an effective and rapid reconnaissance tool.