Landslide Hazard Zonation using Remote Sensing and GIS: a case study of Dikrong river basin, Arunachal Pradesh, India

2007 ◽  
Vol 54 (7) ◽  
pp. 1517-1529 ◽  
Author(s):  
Ashish Pandey ◽  
P. P. Dabral ◽  
V. M. Chowdary ◽  
N. K. Yadav
Keyword(s):  
Remote Sensing ◽  
River Basin ◽  
Remote Sensing And Gis ◽  
Landslide Hazard ◽  
Hazard Zonation ◽  
Arunachal Pradesh ◽  
Landslide Hazard Zonation

scholarly journals LANDSLIDE HAZARD ZONATION MAPPING OF CHAMOLI LANDSLIDES IN REMOTE SENSING AND GIS ENVIRONMENT

2018 ◽  
Vol XLII-5 ◽  
pp. 475-480
Author(s):  
M. K. Tripathi ◽  
H. Govil ◽  
P. K. Champati ray ◽  
I. C. Das
Keyword(s):  
Remote Sensing ◽  
Remote Sensing And Gis ◽  
Landslide Hazard ◽  
Information Value ◽  
Slope Aspect ◽  
Hazard Zonation ◽  
Landslide Hazard Zonation ◽  
Thematic Layers ◽  
Zonation Map ◽  
Gis Environment

<p><strong>Abstract.</strong> Landslides are very common problem in hilly terrain. Chamoli region of Himalaya is highest sensitive zone of the landslide hazards. The purpose of Chamoli landslide study, to observe the important terrain factors and parameters responsible for landslide initiation. Lithological, geomorphological, slope, aspect, landslide, drainage density and lineament density map generated in remote sensing and GIS environment. Data information of related geological terrain obtain through topographic maps, remote sensing images, field visits and geological maps. Geodatabases of all thematic layers prepared through digitization of topographic map and satellite imageries (LISS-III, LISS-IV &amp;amp; ASTER DEM). Integrated all thematic layers applying information value method under GIS environment to map the zonation of landslide hazard zonation map validation and verification completed by field visit. The landslide hazard zonation map classified in four classes very high, high, medium and low.</p>

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