GIS-BASED LANDSLIDE SUSCEPTIBILITY ASSESSMENT AND FACTOR EFFECT ANALYSIS BY CERTAINTY FACTOR IN UPSTREAM OF JENEBERANG RIVER, INDONESIA

This study aimed to assess landslide susceptibility by employing certainty factors model (CF) to select the causative factors for landslide susceptibility mapping in Upstream of Jeneberang River, South Sulawesi. Indonesia. The landslide causative factors were: soil, slope angle, aspect, elevation, l...

Full description

Bibliographic Details
Main Authors: Putri Fatimah Nurdin, Tetsuya Kubota
Format: Article
Language:English
Published: Diponegoro University 2018-04-01
Series:Geoplanning: Journal of Geomatics and Planning
Subjects:
Online Access:https://ejournal.undip.ac.id/index.php/geoplanning/article/view/15419
_version_ 1818352766045650944
author Putri Fatimah Nurdin
Tetsuya Kubota
author_facet Putri Fatimah Nurdin
Tetsuya Kubota
author_sort Putri Fatimah Nurdin
collection DOAJ
description This study aimed to assess landslide susceptibility by employing certainty factors model (CF) to select the causative factors for landslide susceptibility mapping in Upstream of Jeneberang River, South Sulawesi. Indonesia. The landslide causative factors were: soil, slope angle, aspect, elevation, lithology, land use, distance to the river, drainage density, and precipitation. For validation purpose, landslide inventory map was randomly partition into two groups, 30% for the validation and 70% for the training. Landslide susceptibility maps were produced by logistic regression using original factor (all nine factors) and selected factor (four factors with positive CF value). The result of certainty factor analysis shows CF value is positive for elevation, land use, slope and drainage density. The accuracy of two landslide susceptibility maps were evaluated by calculating the area under the curve of Receiver Operating Characteristic (ROC) curves. The result shows the the success rate curve for nine factor map (80.2%)  is higher than four factor map (78%). But in case of closeness between success rate curve and predictive rate curve, certainty factors model has a closer distance. In this study, effect analysis studies show how the accuracy changes when the input factors are changed.
first_indexed 2024-12-13T18:58:51Z
format Article
id doaj.art-6a029a4780c443228484f95eb77bda5c
institution Directory Open Access Journal
issn 2355-6544
language English
last_indexed 2024-12-13T18:58:51Z
publishDate 2018-04-01
publisher Diponegoro University
record_format Article
series Geoplanning: Journal of Geomatics and Planning
spelling doaj.art-6a029a4780c443228484f95eb77bda5c2022-12-21T23:34:44ZengDiponegoro UniversityGeoplanning: Journal of Geomatics and Planning2355-65442018-04-0151759010.14710/geoplanning.5.1.75-9013045GIS-BASED LANDSLIDE SUSCEPTIBILITY ASSESSMENT AND FACTOR EFFECT ANALYSIS BY CERTAINTY FACTOR IN UPSTREAM OF JENEBERANG RIVER, INDONESIAPutri Fatimah Nurdin0Tetsuya Kubota1Kyushu UniversityFaculty of Agriculture, Kyushu University, 6-10-1 Hakozaki Higashi-Ku Fukuoka 812-8581, JapanThis study aimed to assess landslide susceptibility by employing certainty factors model (CF) to select the causative factors for landslide susceptibility mapping in Upstream of Jeneberang River, South Sulawesi. Indonesia. The landslide causative factors were: soil, slope angle, aspect, elevation, lithology, land use, distance to the river, drainage density, and precipitation. For validation purpose, landslide inventory map was randomly partition into two groups, 30% for the validation and 70% for the training. Landslide susceptibility maps were produced by logistic regression using original factor (all nine factors) and selected factor (four factors with positive CF value). The result of certainty factor analysis shows CF value is positive for elevation, land use, slope and drainage density. The accuracy of two landslide susceptibility maps were evaluated by calculating the area under the curve of Receiver Operating Characteristic (ROC) curves. The result shows the the success rate curve for nine factor map (80.2%)  is higher than four factor map (78%). But in case of closeness between success rate curve and predictive rate curve, certainty factors model has a closer distance. In this study, effect analysis studies show how the accuracy changes when the input factors are changed.https://ejournal.undip.ac.id/index.php/geoplanning/article/view/15419LandslideSusceptibility MapGISCertainty FactorLogistic Regression
spellingShingle Putri Fatimah Nurdin
Tetsuya Kubota
GIS-BASED LANDSLIDE SUSCEPTIBILITY ASSESSMENT AND FACTOR EFFECT ANALYSIS BY CERTAINTY FACTOR IN UPSTREAM OF JENEBERANG RIVER, INDONESIA
Geoplanning: Journal of Geomatics and Planning
Landslide
Susceptibility Map
GIS
Certainty Factor
Logistic Regression
title GIS-BASED LANDSLIDE SUSCEPTIBILITY ASSESSMENT AND FACTOR EFFECT ANALYSIS BY CERTAINTY FACTOR IN UPSTREAM OF JENEBERANG RIVER, INDONESIA
title_full GIS-BASED LANDSLIDE SUSCEPTIBILITY ASSESSMENT AND FACTOR EFFECT ANALYSIS BY CERTAINTY FACTOR IN UPSTREAM OF JENEBERANG RIVER, INDONESIA
title_fullStr GIS-BASED LANDSLIDE SUSCEPTIBILITY ASSESSMENT AND FACTOR EFFECT ANALYSIS BY CERTAINTY FACTOR IN UPSTREAM OF JENEBERANG RIVER, INDONESIA
title_full_unstemmed GIS-BASED LANDSLIDE SUSCEPTIBILITY ASSESSMENT AND FACTOR EFFECT ANALYSIS BY CERTAINTY FACTOR IN UPSTREAM OF JENEBERANG RIVER, INDONESIA
title_short GIS-BASED LANDSLIDE SUSCEPTIBILITY ASSESSMENT AND FACTOR EFFECT ANALYSIS BY CERTAINTY FACTOR IN UPSTREAM OF JENEBERANG RIVER, INDONESIA
title_sort gis based landslide susceptibility assessment and factor effect analysis by certainty factor in upstream of jeneberang river indonesia
topic Landslide
Susceptibility Map
GIS
Certainty Factor
Logistic Regression
url https://ejournal.undip.ac.id/index.php/geoplanning/article/view/15419
work_keys_str_mv AT putrifatimahnurdin gisbasedlandslidesusceptibilityassessmentandfactoreffectanalysisbycertaintyfactorinupstreamofjeneberangriverindonesia
AT tetsuyakubota gisbasedlandslidesusceptibilityassessmentandfactoreffectanalysisbycertaintyfactorinupstreamofjeneberangriverindonesia