首页> 外文会议>2011 IEEE International Geoscience Remote Sensing Symposium >Change detection method for landslide area using RGB color composite image of SRTM and ALOS/PALSAR InSAR DEM: A case study of the Iwate-Miyagi Nairiku Earthquake in 2008
【24h】

Change detection method for landslide area using RGB color composite image of SRTM and ALOS/PALSAR InSAR DEM: A case study of the Iwate-Miyagi Nairiku Earthquake in 2008

机译:基于SRTM和ALOS / PALSAR InSAR DEM的RGB彩色合成图像的滑坡区域变化检测方法-以2008年岩手县宫城县内里库地震为例

获取原文

摘要

The aim of this study is to advocate a change detection method for coseismic landsliding using RGB color composite image assigned pre-earthquake DEM (SRTM-3) and post-earthquake DEM (ALOS/PALSAR InSAR DEM). In this study, we applied our proposed method to landslide areas occurred by the Iwate-Miyagi Nairiku Earthquake in 2008. As a result, we found out that the area of sliding length and sliding width over 200m where is detected in the RGB color composite image using SRTM-3 and ALOS/PALSAR InSAR DEM. In conclusion, we showed that it is effective in using PALSAR data to analyze topographical changes in mountainous area.
机译:这项研究的目的是提倡一种使用地震前DEM(SRTM-3)和地震后DEM(ALOS / PALSAR InSAR DEM)分配的RGB彩色复合图像的同震滑坡变化检测方法。在这项研究中,我们将我们提出的方法应用于岩手-宫城县内里库地震在2008年发生的滑坡区域。结果,我们发现在RGB彩色合成图像中可以检测到滑动长度和滑动宽度超过200m的区域使用SRTM-3和ALOS / PALSAR InSAR DEM。总之,我们证明了使用PALSAR数据分析山区地形变化是有效的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
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