DocumentCode :
3064082
Title :
Pixel based terrain analysis for Landslide Hazard Zonation, a case study of Tehri reservoir region, Uttarakhand, India
Author :
Kumar, Ravindra ; Anbalagan, Ranjith
Author_Institution :
Dept. of Earth Sci., Indian Inst. of Technol., Roorkee, Roorkee, India
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
2868
Lastpage :
2871
Abstract :
A methodology for delineation of landslide hazard zones using Terrain parameters, frequency ratio and arithmetic overlay approach in GIS environment, is presented. Temporal remote sensing data including Digital Elevation Model (DEM) had been used for preparation of landslide causative factors. Terrain parameters such as: slope, aspect, relative relief, topographic wetness index (TWI), and stream power index (SPI), were derived and their influence on landslide had been performed using landslide frequency ratio. Other landslide causative factors: Land use/Land cover, drainage, lithology, and photo-lineaments were generated from remote sensing multispectral data by applying different image processing techniques. Ancillary data including field observations were incorporated in GIS platform. Landside frequency ratio for each factor´s attribute was calculated. Integration of conditioning factors was done by using arithmetic overlay, which had resulted a pixel based hazard index map, which was further classified and validated.
Keywords :
digital elevation models; geographic information systems; geomorphology; geophysical image processing; hazards; land cover; land use; terrain mapping; topography (Earth); DEM; GIS environment; India; SPI; TWI; Tehri reservoir region; Uttarakhand; ancillary data; arithmetic overlay approach; digital elevation model; drainage; field observation; image processing technique; land cover; land use; landslide causative factors; landslide frequency ratio; landslide hazard zonation; landslide hazard zone delineation; lithology; photolineaments; pixel based hazard index map; pixel based terrain analysis; relative relief; remote sensing multispectral data; stream power index; temporal remote sensing data; terrain aspect; terrain parameters; terrain slope; topographic wetness index; Geology; Hazards; Indexes; Remote sensing; Reservoirs; Terrain factors; Vegetation mapping; Frequency ratio; GIS; Landslide Hazard; Topographic Indices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723423
Filename :
6723423
Link To Document :
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