Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey

The main purpose of the present study is to investigate the possible application of decision tree in landslide susceptibility assessment. The study area having a surface area of 174.8 km2 locates at the northern coast of the Sea of Marmara and western part of Istanbul metropolitan area. When applyin...

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Main Authors: H. A. Nefeslioglu, E. Sezer, C. Gokceoglu, A. S. Bozkir, T. Y. Duman
Format: Article
Language:English
Published: Hindawi Limited 2010-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2010/901095
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spelling doaj-5c06b84959ee4adfb794c266556f84492020-11-24T21:03:47ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472010-01-01201010.1155/2010/901095901095Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, TurkeyH. A. Nefeslioglu0E. Sezer1C. Gokceoglu2A. S. Bozkir3T. Y. Duman4Department of Geological Research, General Directorate of Mineral Research and Exploration, 06520 Ankara, TurkeyDepartment of Computer Engineering, Hacettepe University, Beytepe, 06800 Ankara, TurkeyDepartment of Geological Engineering, Hacettepe University, Beytepe, 06800 Ankara, TurkeyDepartment of Computer Engineering, Hacettepe University, Beytepe, 06800 Ankara, TurkeyDepartment of Geological Research, General Directorate of Mineral Research and Exploration, 06520 Ankara, TurkeyThe main purpose of the present study is to investigate the possible application of decision tree in landslide susceptibility assessment. The study area having a surface area of 174.8 km2 locates at the northern coast of the Sea of Marmara and western part of Istanbul metropolitan area. When applying data mining and extracting decision tree, geological formations, altitude, slope, plan curvature, profile curvature, heat load and stream power index parameters are taken into consideration as landslide conditioning factors. Using the predicted values, the landslide susceptibility map of the study area is produced. The AUC value of the produced landslide susceptibility map has been obtained as 89.6%. According to the results of the AUC evaluation, the produced map has exhibited a good enough performance.http://dx.doi.org/10.1155/2010/901095
collection DOAJ
language English
format Article
sources DOAJ
author H. A. Nefeslioglu
E. Sezer
C. Gokceoglu
A. S. Bozkir
T. Y. Duman
spellingShingle H. A. Nefeslioglu
E. Sezer
C. Gokceoglu
A. S. Bozkir
T. Y. Duman
Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey
Mathematical Problems in Engineering
author_facet H. A. Nefeslioglu
E. Sezer
C. Gokceoglu
A. S. Bozkir
T. Y. Duman
author_sort H. A. Nefeslioglu
title Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey
title_short Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey
title_full Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey
title_fullStr Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey
title_full_unstemmed Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey
title_sort assessment of landslide susceptibility by decision trees in the metropolitan area of istanbul, turkey
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2010-01-01
description The main purpose of the present study is to investigate the possible application of decision tree in landslide susceptibility assessment. The study area having a surface area of 174.8 km2 locates at the northern coast of the Sea of Marmara and western part of Istanbul metropolitan area. When applying data mining and extracting decision tree, geological formations, altitude, slope, plan curvature, profile curvature, heat load and stream power index parameters are taken into consideration as landslide conditioning factors. Using the predicted values, the landslide susceptibility map of the study area is produced. The AUC value of the produced landslide susceptibility map has been obtained as 89.6%. According to the results of the AUC evaluation, the produced map has exhibited a good enough performance.
url http://dx.doi.org/10.1155/2010/901095
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AT cgokceoglu assessmentoflandslidesusceptibilitybydecisiontreesinthemetropolitanareaofistanbulturkey
AT asbozkir assessmentoflandslidesusceptibilitybydecisiontreesinthemetropolitanareaofistanbulturkey
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