Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Landslides are one of the critical natural processes, which cause enormous damage to life and property. These include roads, railways, bridges, dams, houses and also lead to loss of life. Hence, there is a need for landslide hazard zonation for identification of potential landslide areas. The present study is an attempt towards development of a landslide model by using multicriteria decision analysis in GIS and remote sensing techniques for landslide hazard zonation. Pauri district was selected for this project. ResourceSAT-2 LISS-4-Mx satellite imageries, SOI topographical maps, and ancillary data were used as inputs to the study. The data layers of Landuse-landcover and Geology were interpreted from satellite image and available ancillary data. Other raster thematic layers i.e. Slope, Aspect, Elevation and Drainage density have been generated in Arc info 3D Analyst Tool using ASTER DEM of 30 m. resolution.
Ramlakhan Yadav. 2016. \u201cLandslide Hazard Zonation using Quantitative Methods in GIS, Pauri Garhwal District, Uttarakhand, India\u201d. Global Journal of Science Frontier Research - H: Environment & Environmental geology GJSFR-H Volume 16 (GJSFR Volume 16 Issue H4): .
Crossref Journal DOI 10.17406/GJSFR
Print ISSN 0975-5896
e-ISSN 2249-4626
The methods for personal identification and authentication are no exception.
Total Score: 107
Country: India
Subject: Global Journal of Science Frontier Research - H: Environment & Environmental geology
Authors: Ramlakhan Yadav, Dr. Neelam Rawat (PhD/Dr. count: 1)
View Count (all-time): 125
Total Views (Real + Logic): 3569
Total Downloads (simulated): 1884
Publish Date: 2016 11, Tue
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Landslides are one of the critical natural processes, which cause enormous damage to life and property. These include roads, railways, bridges, dams, houses and also lead to loss of life. Hence, there is a need for landslide hazard zonation for identification of potential landslide areas. The present study is an attempt towards development of a landslide model by using multicriteria decision analysis in GIS and remote sensing techniques for landslide hazard zonation. Pauri district was selected for this project. ResourceSAT-2 LISS-4-Mx satellite imageries, SOI topographical maps, and ancillary data were used as inputs to the study. The data layers of Landuse-landcover and Geology were interpreted from satellite image and available ancillary data. Other raster thematic layers i.e. Slope, Aspect, Elevation and Drainage density have been generated in Arc info 3D Analyst Tool using ASTER DEM of 30 m. resolution.
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