Land Cover and Drought Risk Assessment in Türkiye's Mountain Regions Using Neutrosophic Decision Support System

Land Cover and Drought Risk Assessment in Türkiye's Mountain Regions Using Neutrosophic Decision Support System | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Land Cover and Drought Risk Assessment in Türkiye's Mountain Regions Using Neutrosophic Decision Support System Ayhan Ateşoğlu, Ertuğrul Ayyıldız, İrem Karakaya, Fidan Şevval Bulut, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4718193/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 12 Oct, 2024 Read the published version in Environmental Monitoring and Assessment → Version 1 posted 9 You are reading this latest preprint version Abstract Earth observation (EO) provides dynamic scientific methods for tracking and defining ecological parameters in mountainous regions. Open-source platforms are frequently utilized in this context to efficiently collect and evaluate spatial data. In this study, we used Collect Earth (CE), an open-source land monitoring platform, to reveal and assess land cover, land cover change, and relevant ecological parameters such as drought risk. Mountain ecosystems were subject to an evaluation for the first-time by combining remote sensing with an hybridization of Decision-Making Trial and Evaluation Laboratory (DEMATEL), Analytic Hierarchy Process (AHP), and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for Neutrosophic sets in risk assessment problems of several connected criteria. The high and dispersed high alpine environment of Türkiye accommodates land with relatively less human influence, making it suitable to observe climate change impacts. In the framework of the study, we evaluated more than two decades (2000–2022) of Land Use and Land Cover (LULC) changes at the mountains regions of the country. Using nine identified ecological parameters, we also evaluated drought risk. The parameters included were the LULC classes and their change, elevation, slope, aspect, precipitation, temperature, normalized difference vegetation index (NDVI), water deficit, and evapotranspiration (ET). The risk map we produced revealed a high to very high drought risk for almost throughout the Türkiye’s mountainous areas. We concluded that integrating geospatial techniques with hybridization is promising for mapping drought risk, helping policymakers prepare effective drought mitigation measures to reasonably adapt to climate change impacts. Neutrosophic logic multiple criteria decision making drought mountainous areas Full Text Additional Declarations No competing interests reported. Supplementary Files SupplementaryMaterial1.docx SupplementaryMaterial2.xlsx Cite Share Download PDF Status: Published Journal Publication published 12 Oct, 2024 Read the published version in Environmental Monitoring and Assessment → Version 1 posted Editorial decision: Accepted 24 Sep, 2024 Reviewers agreed at journal 22 Aug, 2024 Reviewers agreed at journal 12 Aug, 2024 Reviews received at journal 08 Aug, 2024 Reviewers agreed at journal 07 Aug, 2024 Reviewers invited by journal 07 Aug, 2024 Editor assigned by journal 27 Jul, 2024 Submission checks completed at journal 27 Jul, 2024 First submitted to journal 10 Jul, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4718193","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":343620235,"identity":"d6558ba4-22a7-44a3-986c-9654051a4706","order_by":0,"name":"Ayhan Ateşoğlu","email":"","orcid":"","institution":"Bartin University","correspondingAuthor":false,"prefix":"","firstName":"Ayhan","middleName":"","lastName":"Ateşoğlu","suffix":""},{"id":343620236,"identity":"b5e43cd4-d319-4bef-b24f-2f1eecf2ac8b","order_by":1,"name":"Ertuğrul Ayyıldız","email":"","orcid":"","institution":"Karadeniz Technical 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