Please use this identifier to cite or link to this item: http://111.93.204.14:8080/xmlui/handle/123456789/106
Full metadata record
DC FieldValueLanguage
dc.contributor.authorShit, Pravat Kumar-
dc.contributor.authorBhunia, Gouri Sankar-
dc.contributor.authorMaiti, Ramkrishna-
dc.date.accessioned2022-03-07T10:43:05Z-
dc.date.available2022-03-07T10:43:05Z-
dc.date.issued2016-01-
dc.identifier.issn2363-6203-
dc.identifier.urihttp://111.93.204.14:8080/xmlui/handle/123456789/106-
dc.description.abstractPresent study presented a methodology for landslide susceptibility mapping using an integrated geospatial technology and ground based observation. IRS LISS-III satellite data, drainage, slope, aspect, geology, geomorphology and land use were integrated into GIS platform to delineate landslide susceptibility zone based on weighted index overlay method. The resulting landslide susceptibility map identified five zones of susceptibility of landslide hazards, viz very high hazard zone (10 %), high hazard zone (23 %), moderate hazard zone (25 %), low hazard zone (32 %), and very low hazard zone (15 %). The outcome was confirmed by relating with the landslide occurrences in different classes.en_US
dc.language.isoenen_US
dc.publisherSpringer (Modeling Earth Systems and Environment)en_US
dc.subjectLandslideen_US
dc.subjectRemote sensingen_US
dc.subjectGISen_US
dc.subjectWeighted overlay indexen_US
dc.titlePotential landslide susceptibility mapping using weighted overlay model (WOM)en_US
dc.typeArticleen_US
Appears in Collections:Articles

Files in This Item:
File Description SizeFormat 
Potential landslide susceptibility mapping.pdf3.15 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.