A review of Statistical approaches used for landslide susceptibility analysis with the help of Remote sensing and GIS technology

One of the most significant environmental risks is landslides. It might happen due to human action or natural occurrence and have significant social, economic, and environmental repercussions. The danger of landslides occurring in a certain area based on regional topographical features is known as l...

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Main Authors: Sheetal Bisht, Kishan Singh Rawat
Format: Article
Language:English
Published: University of Agriculture in Krakow 2023-12-01
Series:Acta Scientiarum Polonorum. Formatio Circumiectus
Subjects:
Online Access:https://acta.urk.edu.pl/pdf-174211-97902?filename=A%20review%20of%20Statistical.pdf
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author Sheetal Bisht
Kishan Singh Rawat
author_facet Sheetal Bisht
Kishan Singh Rawat
author_sort Sheetal Bisht
collection DOAJ
description One of the most significant environmental risks is landslides. It might happen due to human action or natural occurrence and have significant social, economic, and environmental repercussions. The danger of landslides occurring in a certain area based on regional topographical features is known as landslide susceptibility. Numerous articles evaluating landslide susceptibility have been written since the middle of the seventies utilizing a variety of techniques and methodologies in diverse geographical and environmental situations.To critically review this literature, major factors that are considered for landslide susceptibility, and the models that are used for landslide susceptibility analysis. Then these data are represented in a graphical visualization form.Landslide susceptibility zoning, The goal of the current study, which was undertaken as a review, was to provide a critical analysis of statistical methods used for landslide susceptibility modelling and associated terrain zonation from 2010 to 2023.There has been an increase in the number of publications from 2019 onwards on the topic of landslide susceptibility. In 20.8% of the studies, the FR model and LR model has been chosen as the most popular approach for determining landslide vulnerability. Other then Logistic regression and Frequency ratio model, other models like Fuzzy, WoE, ANN, SVM and RF are also popular for landslide susceptibility. As the technology in the field of GIS&RS is updating day to day and recent policy developments, are significant factors in boosting interest in landslide susceptibility research.
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spelling doaj-art-2f7347924ab34d0fa30dd8c1283d79c62025-02-03T07:02:06ZengUniversity of Agriculture in KrakowActa Scientiarum Polonorum. Formatio Circumiectus1644-07652023-12-01223839610.15576/ASP.FC/2023.22.3.13A review of Statistical approaches used for landslide susceptibility analysis with the help of Remote sensing and GIS technologySheetal Bisht0Kishan Singh Rawat1Geo-Informatics, Civil Engineering Department, Graphic Era (Deemed to be University) (Accredited with Grade 'A' by NAAC) Dehradun - 248002, Uttrakhand, IndiaCentre for Remote Sensing and Geo-Informatics, Sathyabama UniversityOne of the most significant environmental risks is landslides. It might happen due to human action or natural occurrence and have significant social, economic, and environmental repercussions. The danger of landslides occurring in a certain area based on regional topographical features is known as landslide susceptibility. Numerous articles evaluating landslide susceptibility have been written since the middle of the seventies utilizing a variety of techniques and methodologies in diverse geographical and environmental situations.To critically review this literature, major factors that are considered for landslide susceptibility, and the models that are used for landslide susceptibility analysis. Then these data are represented in a graphical visualization form.Landslide susceptibility zoning, The goal of the current study, which was undertaken as a review, was to provide a critical analysis of statistical methods used for landslide susceptibility modelling and associated terrain zonation from 2010 to 2023.There has been an increase in the number of publications from 2019 onwards on the topic of landslide susceptibility. In 20.8% of the studies, the FR model and LR model has been chosen as the most popular approach for determining landslide vulnerability. Other then Logistic regression and Frequency ratio model, other models like Fuzzy, WoE, ANN, SVM and RF are also popular for landslide susceptibility. As the technology in the field of GIS&RS is updating day to day and recent policy developments, are significant factors in boosting interest in landslide susceptibility research.https://acta.urk.edu.pl/pdf-174211-97902?filename=A%20review%20of%20Statistical.pdfgisremote sensinglandslide susceptibilitystatistical model
spellingShingle Sheetal Bisht
Kishan Singh Rawat
A review of Statistical approaches used for landslide susceptibility analysis with the help of Remote sensing and GIS technology
Acta Scientiarum Polonorum. Formatio Circumiectus
gis
remote sensing
landslide susceptibility
statistical model
title A review of Statistical approaches used for landslide susceptibility analysis with the help of Remote sensing and GIS technology
title_full A review of Statistical approaches used for landslide susceptibility analysis with the help of Remote sensing and GIS technology
title_fullStr A review of Statistical approaches used for landslide susceptibility analysis with the help of Remote sensing and GIS technology
title_full_unstemmed A review of Statistical approaches used for landslide susceptibility analysis with the help of Remote sensing and GIS technology
title_short A review of Statistical approaches used for landslide susceptibility analysis with the help of Remote sensing and GIS technology
title_sort review of statistical approaches used for landslide susceptibility analysis with the help of remote sensing and gis technology
topic gis
remote sensing
landslide susceptibility
statistical model
url https://acta.urk.edu.pl/pdf-174211-97902?filename=A%20review%20of%20Statistical.pdf
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