Author
Listed:
- Deniz Karaelmas
(Department of Design, Caycuma Vocational School, Zonguldak Bülent Ecevit University, 67900 Zonguldak, Türkiye)
- Kübra Tekdamar
(Department of Landscape Architecture, Graduate School, Bartın University, 74100 Bartin, Türkiye)
- Canan Cengiz
(Department of Landscape Architecture, Faculty of Engineering, Architecture and Design, Bartın University, 74100 Bartin, Türkiye)
- Bülent Cengiz
(Department of Landscape Architecture, Faculty of Engineering, Architecture and Design, Bartın University, 74100 Bartin, Türkiye)
- Durmuş Ali Tekdamar
(Department of Landscape Architecture, Graduate School, Bartın University, 74100 Bartin, Türkiye
Department of Architecture and Urban Planning, Vocational School, Mardin Artuklu University, 47200 Mardin, Türkiye)
Abstract
This study aims to identify agricultural land suitability in Mardin province, located in the semi-arid Southeastern Anatolia Region of Türkiye. Within this framework, eight ecological criteria were selected to assess agricultural land suitability. Criterion weights were derived from expert judgments using the Analytical Hierarchy Process (AHP), a Multi-Criteria Decision-Making (MCDM) method. The criteria were evaluated within the framework of the five classes used in agricultural land-use suitability, in accordance with the guidelines of the Food and Agriculture Organization of the United Nations (FAO). Based on this classification, maps of the determined criteria were prepared using Geographic Information Systems (GISs), and an agricultural land-use suitability map was produced using a weighted overlay approach. The results indicate that 31.3% of the total land area in Mardin province falls within the highly and moderately suitable classes. For validation, the suitability map was overlaid with the Coordination of Information on the Environment (CORINE) Land Cover (CLC) 2018 data, revealing that 98.8% of highly suitable (S1) areas and 94.6% of moderately suitable (S2) areas correspond to existing agricultural lands. Furthermore, Receiver Operating Characteristic (ROC) analysis yielded an Area Under the Curve (AUC) value of 0.815, indicating an acceptable-to-good discrimination ability and confirming the robustness of the model.
Suggested Citation
Deniz Karaelmas & Kübra Tekdamar & Canan Cengiz & Bülent Cengiz & Durmuş Ali Tekdamar, 2026.
"GIS and AHP-Based Agricultural Land-Use Suitability Analysis in Semi-Arid Regions of Southeastern Türkiye,"
Sustainability, MDPI, vol. 18(7), pages 1-22, April.
Handle:
RePEc:gam:jsusta:v:18:y:2026:i:7:p:3508-:d:1913212
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:18:y:2026:i:7:p:3508-:d:1913212. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.