DocumentCode :
2198897
Title :
Heavy rainfall-induced landslide detection from very high resolution multi-aspect TerraSAR-X images in Dessie, Ethiopia
Author :
Beyene, Fasil ; Busch, Wolfgang ; Knospe, Steffen ; Ayalew, Lulseged
Author_Institution :
Clausthal Univ. of Technol., Clausthal, Germany
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
3014
Lastpage :
3017
Abstract :
The impact of landslide is enormous in towns adjacent to the rift escarpments and highlands of Ethiopia, especially in rainy seasons. To study the seasonal variation and trend of slope instability in these areas with support of the current radar technology, 40 spotlight mode of TerraSAR-X/TanDEM-X (TSX/TDX) radar imageries were acquired from German Aerospace Agency (DLR). The conventional 2-pass DInSAR method has been applied to process the SAR data, and the DInSAR time series analysis result obtained by stacking 11 and 22 days interferograms from both ascending and descending orbits showed that there are 2-3 cm mass movements or deformation in the rainy season and 1-2 cm in the dry months. The results obtained from the DInSAR analysis were compared with a landslide inventory map containing more than 20 active landslides of the area of interest, and generally a good consistency was observed.
Keywords :
faulting; geomorphology; geophysical image processing; geophysical techniques; image resolution; radar imaging; radar interferometry; synthetic aperture radar; time series; 2-pass DInSAR method; DInSAR time series analysis; Dessie; Ethiopia; German Aerospace Agency; SAR data; TanDEM-X radar image; heavy infall-induced landslide detection; interferograms; landslide inventory map; radar technology; rainy seasons; rift escarpments; slope instability; very high resolution multiaspect TerraSAR-X images; Cities and towns; Interferometry; Orbits; Synthetic aperture radar; Terrain factors; Time series analysis; DInSAR; Ethiopia; Landslide; TerraSAR-X; heavy rainfall; time series analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6350791
Filename :
6350791
Link To Document :
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