Application of statistical and machine learning techniques for landslide susceptibility mapping in t...
Application of statistical and machine learning techniques for landslide susceptibility mapping in the Himalayan road corridors
About this item
Full title
Author / Creator
Publisher
Warsaw: De Gruyter
Journal title
Language
English
Formats
Publication information
Publisher
Warsaw: De Gruyter
Subjects
More information
Scope and Contents
Contents
Landslides are frequent geological hazards, mainly in the rainy season along road corridors worldwide. In the present study, we have comparatively analyzed landslide susceptibility by employing integrated geospatial approaches, i.e., data-driven, knowledge-driven, and machine learning (ML), along the main road corridors of the Muzaffarabad district...
Alternative Titles
Full title
Application of statistical and machine learning techniques for landslide susceptibility mapping in the Himalayan road corridors
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_0c8a13ed30234b6a83d58f4061c010f2
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0c8a13ed30234b6a83d58f4061c010f2
Other Identifiers
ISSN
2391-5447
E-ISSN
2391-5447
DOI
10.1515/geo-2022-0424
