Publication Date:
2024-02-28
Description:
Landslide activity often significantly alters the spectral signal of the earth surface through the displacement and disruption of the surficial vegetation layer. This makes landslide areas targets for detection and mapping from spaceborne data. We employed data from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) to detect and map landslides that were triggered by the 2005 Kashmir earthquake. Digital Elevation Models (DEMs) generated from ASTER stereo data, together with DEM data from the Shuttle Radar Topography Mission (SRTM) were used to calculate volume estimates for individual landslides. Orthophotos and DEMs were generated from corrected level 1B data. Orientation of the 3N and corresponding 3B band from GCPs, transformation to epipolar geometry, parallax-matching, and parallax-to-DEM conversion was done using the PCI Geomatica 10.1 Orthoengine software. Orthophotos and DEMs were then integrated into a GIS (ArcGIS 9.2), where landslides were automatically detected and mapped using different band thresholds, band ratios, change detection methods and selected terrain information. The resulting landslides inventory data was used to supplement and extend an existing field data inventory.
Language:
English
Type:
info:eu-repo/semantics/conferenceObject
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