AHP-based geospatial analysis for landslide susceptibility zonation in Wayanad District
Landslide susceptibility zonation mapping is a decision-making process that entirely depends upon the land use and land cover changes from one point to another. The accuracy and precision of the study related to the quality of the parameters used to determine the occurrence and intensity of the land...
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EDP Sciences
2025-01-01
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Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/04/e3sconf_icdm2024_01004.pdf |
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author | Irshad Tharayil T Harikrishnan Bose Mahalingam Kurniati Titi |
author_facet | Irshad Tharayil T Harikrishnan Bose Mahalingam Kurniati Titi |
author_sort | Irshad Tharayil |
collection | DOAJ |
description | Landslide susceptibility zonation mapping is a decision-making process that entirely depends upon the land use and land cover changes from one point to another. The accuracy and precision of the study related to the quality of the parameters used to determine the occurrence and intensity of the landslides. This study acquired secondary data from Landsat-8 satellite images and GSI (Geological Survey of India). The landslide conditioning factor was assigned with the help of the semi-quantitative Analytical Hierarchy Process (AHP) Technique. In this current study, 13 parameters were analyzed. Each parameter is responsible for landslides in a low or high influence grade. Each parameter was designed to have a particular weight based on its influence on landslide occurrence. Rainfall is the prime factor for the landslides in the Wayanad district. The final landslide susceptibility zonation map was validated using appropriate mathematical treatment to check their correctness with the help of landslide inventory points. |
format | Article |
id | doaj-art-e8488c2b980246908a121ee55a444bf9 |
institution | Kabale University |
issn | 2267-1242 |
language | English |
publishDate | 2025-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | E3S Web of Conferences |
spelling | doaj-art-e8488c2b980246908a121ee55a444bf92025-02-05T10:47:52ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016040100410.1051/e3sconf/202560401004e3sconf_icdm2024_01004AHP-based geospatial analysis for landslide susceptibility zonation in Wayanad DistrictIrshad Tharayil0T Harikrishnan1Bose Mahalingam2Kurniati Titi3Department of Geography and Geology School of Earth Sciences, Central University of KarnatakaDepartment of Geography and Geology School of Earth Sciences, Central University of KarnatakaDepartment of Geography and Geology School of Earth Sciences, Central University of KarnatakaDepartment of Civil Engineering, Faculty of Engineering, Universitas AndalasLandslide susceptibility zonation mapping is a decision-making process that entirely depends upon the land use and land cover changes from one point to another. The accuracy and precision of the study related to the quality of the parameters used to determine the occurrence and intensity of the landslides. This study acquired secondary data from Landsat-8 satellite images and GSI (Geological Survey of India). The landslide conditioning factor was assigned with the help of the semi-quantitative Analytical Hierarchy Process (AHP) Technique. In this current study, 13 parameters were analyzed. Each parameter is responsible for landslides in a low or high influence grade. Each parameter was designed to have a particular weight based on its influence on landslide occurrence. Rainfall is the prime factor for the landslides in the Wayanad district. The final landslide susceptibility zonation map was validated using appropriate mathematical treatment to check their correctness with the help of landslide inventory points.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/04/e3sconf_icdm2024_01004.pdf |
spellingShingle | Irshad Tharayil T Harikrishnan Bose Mahalingam Kurniati Titi AHP-based geospatial analysis for landslide susceptibility zonation in Wayanad District E3S Web of Conferences |
title | AHP-based geospatial analysis for landslide susceptibility zonation in Wayanad District |
title_full | AHP-based geospatial analysis for landslide susceptibility zonation in Wayanad District |
title_fullStr | AHP-based geospatial analysis for landslide susceptibility zonation in Wayanad District |
title_full_unstemmed | AHP-based geospatial analysis for landslide susceptibility zonation in Wayanad District |
title_short | AHP-based geospatial analysis for landslide susceptibility zonation in Wayanad District |
title_sort | ahp based geospatial analysis for landslide susceptibility zonation in wayanad district |
url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/04/e3sconf_icdm2024_01004.pdf |
work_keys_str_mv | AT irshadtharayil ahpbasedgeospatialanalysisforlandslidesusceptibilityzonationinwayanaddistrict AT tharikrishnan ahpbasedgeospatialanalysisforlandslidesusceptibilityzonationinwayanaddistrict AT bosemahalingam ahpbasedgeospatialanalysisforlandslidesusceptibilityzonationinwayanaddistrict AT kurniatititi ahpbasedgeospatialanalysisforlandslidesusceptibilityzonationinwayanaddistrict |