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2019 | OriginalPaper | Buchkapitel

8. Factor’s Clustering and Identification of Suitable Factor’s Group Model in Landslide Susceptibility

verfasst von : Sujit Mandal, Subrata Mondal

Erschienen in: Geoinformatics and Modelling of Landslide Susceptibility and Risk

Verlag: Springer International Publishing

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Abstract

The present study attempts to assess geo-spatial distribution of landslide susceptibility in the Balason river basin of Darjeeling Himalaya using clustering of various factors i.e. geomorphological factors, lithological factors group, hydrological factors, triggering factor, protective factor and anthropogenic factor. The geomorphological factors, lithological factors group, hydrological factors, triggering factor, protective factor and anthropogenic factor were being integrated with the help of geomorphological factor group model, lithological factor group model, hydrological factor group model, triggering factor group model, protective factor group model and anthropogenic factor group model. To prepare data layers such as elevation, slope, aspect, curvature, geology, geomorphology, soil, drainage density, distance to drainage, lineament density, distance to lineament, stream power index, topographic wetness index, NDVI and LULC Google earth, topographical maps, SRTM DEM, satellite images were processed properly in GIS environment.

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Metadaten
Titel
Factor’s Clustering and Identification of Suitable Factor’s Group Model in Landslide Susceptibility
verfasst von
Sujit Mandal
Subrata Mondal
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-030-10495-5_8