Landslide Volumetric Analysis Using Cartosat-1-Derived DEMs

被引：86

作者：

Martha, Tapas R. ^{[1
,2
]}

Kerle, Norman ^{[3
]}

Jetten, Victor ^{[3
]}

van Westen, Cees J. ^{[3
]}

Kumar, K. Vinod ^{[1
]}

机构：

[1] Indian Space Res Org, Natl Remote Sensing Ctr, Hyderabad 500625, Andhra Pradesh, India

[2] Int Inst Geo Informat Sci & Earth Observat ITC, NL-7500 AA Enschede, Netherlands

[3] ITC, NL-7500 AA Enschede, Netherlands

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2010年 / 7卷 / 03期

关键词：

Cartosat-1; disaster management; landslide; volume estimation; CASITA-VOLCANO; NICARAGUA; SRTM;

D O I：

10.1109/LGRS.2010.2041895

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

The monitoring of landscape changes can lead to the identification of environmental hot spots, improve process understanding, and provide means for law enforcement. Digital elevation models (DEMs) derived from stereoscopic satellite data provide a systematic synoptic framework that is potentially useful to support these issues. Along-track high-resolution stereoscopic data, provided with rational polynomial coefficients (RPCs), are ideal for the fast and accurate extraction of DEMs due to the reduced radiometric differences between images. In this letter, we assess the suitability of data from the relatively new Cartosat-1 satellite to quantify large-scale geomorphological changes, using the volume estimation of the 2007 Salna landslide in the Indian Himalayas as a test case. The depletion and accumulation volumes, estimated as 0.55 x 10(6) and 1.43 x 10(6) m(3), respectively, showed a good match with the volumes calculated using DEMs generated only with RPCs and without ground control points (GCPs), indicating that the volume figures are less sensitive to GCP support. The result showed that these data can provide an important input for disaster-management activities.

引用

页码：582 / 586

页数：5

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