Comparable analysis of analytical hierarchy process and fuzzy logic methods based on GIS and remote sensing for anticipating landslide susceptibility in the Iraqi Kurdistan Region, Koya district
Landslides pose a serious threat in urban areas with steep and varied terrain, such as the Koya district in northern Iraq. This study aims to produce landslide susceptibility maps (LSMs) using remote sensing data and three models: Analytical Hierarchy Process (AHP), Fuzzy Logic SUM, and Fuzzy Gamma...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | Geocarto International |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/10106049.2025.2540881 |
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| author | Zana Ali Gaylan Rasul Faqe Ibrahim Kinga Kiss Gábor Pirisi |
| author_facet | Zana Ali Gaylan Rasul Faqe Ibrahim Kinga Kiss Gábor Pirisi |
| author_sort | Zana Ali |
| collection | DOAJ |
| description | Landslides pose a serious threat in urban areas with steep and varied terrain, such as the Koya district in northern Iraq. This study aims to produce landslide susceptibility maps (LSMs) using remote sensing data and three models: Analytical Hierarchy Process (AHP), Fuzzy Logic SUM, and Fuzzy Gamma 0.9. A total of 280 landslides were identified through field surveys, GPS, and Google Earth, and used for model training and validation. Fifteen conditioning factors were used, including slope, geology, land cover, rainfall, and drainage density. The resulting LSMs were classified into five susceptibility levels. The Fuzzy Gamma 0.9 model identified 9.15% of the area as highly susceptible, while the Fuzzy SUM model showed 20.79%. Validation using the Area Under the Curve (AUC) revealed that the Fuzzy Gamma 0.9 model (AUC = 0.80) performed better than AHP (0.711) and Fuzzy SUM (0.716). These results provide valuable insights for land use planning and hazard mitigation. |
| format | Article |
| id | doaj-art-ea816fc4b24748b8b313b3c4c17842b9 |
| institution | DOAJ |
| issn | 1010-6049 1752-0762 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geocarto International |
| spelling | doaj-art-ea816fc4b24748b8b313b3c4c17842b92025-08-20T03:05:42ZengTaylor & Francis GroupGeocarto International1010-60491752-07622025-12-0140110.1080/10106049.2025.2540881Comparable analysis of analytical hierarchy process and fuzzy logic methods based on GIS and remote sensing for anticipating landslide susceptibility in the Iraqi Kurdistan Region, Koya districtZana Ali0Gaylan Rasul Faqe Ibrahim1Kinga Kiss2Gábor Pirisi3Doctoral School of Earth Sciences, University of Pécs, Pécs, HungaryGeography Department, Faculty of Arts, Soran University, Soran, IraqDepartment of Cartography and Geoinformatics, University of Pécs, Pécs, HungaryInstitute of Geography and Earth Sciences, University of Pécs, Pécs, HungaryLandslides pose a serious threat in urban areas with steep and varied terrain, such as the Koya district in northern Iraq. This study aims to produce landslide susceptibility maps (LSMs) using remote sensing data and three models: Analytical Hierarchy Process (AHP), Fuzzy Logic SUM, and Fuzzy Gamma 0.9. A total of 280 landslides were identified through field surveys, GPS, and Google Earth, and used for model training and validation. Fifteen conditioning factors were used, including slope, geology, land cover, rainfall, and drainage density. The resulting LSMs were classified into five susceptibility levels. The Fuzzy Gamma 0.9 model identified 9.15% of the area as highly susceptible, while the Fuzzy SUM model showed 20.79%. Validation using the Area Under the Curve (AUC) revealed that the Fuzzy Gamma 0.9 model (AUC = 0.80) performed better than AHP (0.711) and Fuzzy SUM (0.716). These results provide valuable insights for land use planning and hazard mitigation.https://www.tandfonline.com/doi/10.1080/10106049.2025.2540881Landslide susceptibility map assessmentanalytical hierarchy process and fuzzy logic modelGISremote sensingIraqi Kurdistan Region |
| spellingShingle | Zana Ali Gaylan Rasul Faqe Ibrahim Kinga Kiss Gábor Pirisi Comparable analysis of analytical hierarchy process and fuzzy logic methods based on GIS and remote sensing for anticipating landslide susceptibility in the Iraqi Kurdistan Region, Koya district Geocarto International Landslide susceptibility map assessment analytical hierarchy process and fuzzy logic model GIS remote sensing Iraqi Kurdistan Region |
| title | Comparable analysis of analytical hierarchy process and fuzzy logic methods based on GIS and remote sensing for anticipating landslide susceptibility in the Iraqi Kurdistan Region, Koya district |
| title_full | Comparable analysis of analytical hierarchy process and fuzzy logic methods based on GIS and remote sensing for anticipating landslide susceptibility in the Iraqi Kurdistan Region, Koya district |
| title_fullStr | Comparable analysis of analytical hierarchy process and fuzzy logic methods based on GIS and remote sensing for anticipating landslide susceptibility in the Iraqi Kurdistan Region, Koya district |
| title_full_unstemmed | Comparable analysis of analytical hierarchy process and fuzzy logic methods based on GIS and remote sensing for anticipating landslide susceptibility in the Iraqi Kurdistan Region, Koya district |
| title_short | Comparable analysis of analytical hierarchy process and fuzzy logic methods based on GIS and remote sensing for anticipating landslide susceptibility in the Iraqi Kurdistan Region, Koya district |
| title_sort | comparable analysis of analytical hierarchy process and fuzzy logic methods based on gis and remote sensing for anticipating landslide susceptibility in the iraqi kurdistan region koya district |
| topic | Landslide susceptibility map assessment analytical hierarchy process and fuzzy logic model GIS remote sensing Iraqi Kurdistan Region |
| url | https://www.tandfonline.com/doi/10.1080/10106049.2025.2540881 |
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