首页> 外文期刊>Landslides >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
【24h】

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

机译:利用卫星图像和Google Earth解释2008年5月12日汶川M7.9地震在中国四川省北川地区引发的地震诱发的滑坡

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

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/km2 represents 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.
机译:2008年5月12日的中国汶川M7.9地震为国际社会提供了一个难得的机会,使国际社会可以使用通用的GIS(地理信息系统)工具(例如Google Earth(GE))来快速评估和评估引发的滑坡灾害受破坏性地震及其余震的影响。为了绘制地震触发的滑坡图,我们提供了GE从FORMOSAT-2(以前是ROCSAT-2;中华民国2号卫星)提供的公开提供的3天地震后和地震前图像的适用性和局限性的详细信息)。我们用GE在8 m分辨率的FORMOSAT-2图像上解释了滑坡。结果,沿着北川断裂带绘制了257个最大滑坡的大型滑坡。给定可用图像的分辨率,估计密度为0.3滑坡/ km2 表示密度的最小范围;更高分辨率的数据将识别出更多的滑坡。这是一项初步研究,需要进一步研究以详细了解滑坡特征。尽管最好从具有高分辨率的卫星图像中获取滑坡的位置和测量值,但发现GE是一种有效且快速的侦察工具。

著录项

相似文献

  • 外文文献
  • 中文文献
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号