Integrating Statistical Analysis for Standardized Remote Sensing Eco-Environment Index Comparisons Under Land Use Land Cover Constraints: A Case Study of Blida Province, Algeria

Integrating Statistical Analysis for Standardized Remote Sensing Eco-Environment Index Comparisons Under Land Use Land Cover Constraints: A Case Study of Blida Province, Algeria | 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 Integrating Statistical Analysis for Standardized Remote Sensing Eco-Environment Index Comparisons Under Land Use Land Cover Constraints: A Case Study of Blida Province, Algeria Chadli bendjedid Kadri, Abdelhalim GUERROUDJ, Abdelkader HAMLAT, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6177774/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 01 Aug, 2025 Read the published version in Acta Geophysica → Version 1 posted 6 You are reading this latest preprint version Abstract The Remote Sensing Ecological Index (RSEI) is a crucial tool for assessing ecological environmental quality and supporting sustainable land management. Different weighting methods influence RSEI results, yet existing research primarily compares techniques like Principal Component Analysis (PCA), the Analytical Hierarchy Process (AHP), and entropy-based methods without fully considering Land Use and Land Cover (LULC) variations. This study investigates whether RSEI differences across weighting techniques are statistically significant and how LULC types influence RSEI results. We compare objective (PCA-based RSEI), subjective (RSEI using AHP), and combined methods, such as the entropy-based Knowledge Granulation Entropy (RSEI_KGE) and a hybrid PCA-AHP approach (RSEI_PCA-AHP). These techniques are applied to four LULC types: urban areas, bare land, farmland, and forests in Blida, Algeria. By applying statistical analyses, we assess the reliability of different techniques and their sensitivity to LULC variations. Findings will contribute to improving RSEI-based assessments by clarifying the impact of weighting methods and land cover types on ecological evaluations, ultimately enhancing ecological monitoring and decision-making for better environmental management. Remote Sensing Ecological Index Land use and Land cover Objective Techniques Subjective Techniques Combined Techniques Full Text Cite Share Download PDF Status: Published Journal Publication published 01 Aug, 2025 Read the published version in Acta Geophysica → Version 1 posted Editorial decision: Major revisions 25 May, 2025 Reviewers agreed at journal 30 Mar, 2025 Reviewers invited by journal 28 Mar, 2025 Editor invited by journal 18 Mar, 2025 Editor assigned by journal 14 Mar, 2025 First submitted to journal 07 Mar, 2025 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. 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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-6177774","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":435188459,"identity":"89aee12a-49e4-4bb8-9799-aa71a657bb28","order_by":0,"name":"Chadli bendjedid Kadri","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA30lEQVRIie3QsQrCMBCA4SuF6xLMekXRV0jpopOv0i7toiAIukmhEF/Ct3B1CBTq5igODk6dKriLYBVxcEjrJph/OkI+jgTAZPrJEIABdVvP6TEDiEbEx28JhPJFoJbwBMPLedOPpbPdnyx57Ahlry86Qgozd1XQWLLRXFiyYELhRLtGgJO0maoIjKL2TWbMTZgIakh6rUiMvIzIehGlJ5g/tgRIcf4kHJiXaN+SYTRYKfIklUiwq4iNU50AvpT+oVSLHudxQTDLhuik+h8D+z0x8XlSm3NqftdkMpn+qjuV/TxSYXANVAAAAABJRU5ErkJggg==","orcid":"https://orcid.org/0000-0002-4765-666X","institution":"University of Amar Telidji Laghouat: Universite Amar Telidji Laghouat","correspondingAuthor":true,"prefix":"","firstName":"Chadli","middleName":"bendjedid","lastName":"Kadri","suffix":""},{"id":435188460,"identity":"8456c9ac-e62e-45b4-b0b8-ba285ba369b2","order_by":1,"name":"Abdelhalim GUERROUDJ","email":"","orcid":"","institution":"Université Amar Telidji Laghouat: Universite Amar Telidji Laghouat","correspondingAuthor":false,"prefix":"","firstName":"Abdelhalim","middleName":"","lastName":"GUERROUDJ","suffix":""},{"id":435188461,"identity":"0be530c2-57df-46e5-9250-19fdf2a125d5","order_by":2,"name":"Abdelkader HAMLAT","email":"","orcid":"","institution":"Université Amar Telidji Laghouat: Universite Amar Telidji Laghouat","correspondingAuthor":false,"prefix":"","firstName":"Abdelkader","middleName":"","lastName":"HAMLAT","suffix":""},{"id":435188462,"identity":"ac814190-71d4-436c-95be-76af859910fe","order_by":3,"name":"Mohamed Touati MEDERBAL","email":"","orcid":"","institution":"Universite Dr Tahar Moulay de Saida","correspondingAuthor":false,"prefix":"","firstName":"Mohamed","middleName":"Touati","lastName":"MEDERBAL","suffix":""}],"badges":[],"createdAt":"2025-03-07 11:23:00","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6177774/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6177774/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s11600-025-01673-8","type":"published","date":"2025-08-01T16:21:28+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":88268402,"identity":"337be2f7-acdf-406a-80b7-5b9b474b41ef","added_by":"auto","created_at":"2025-08-04 16:51:30","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1177981,"visible":true,"origin":"","legend":"","description":"","filename":"ChadliBendjedidKADRI2025Acta.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6177774/v1_covered_af6ff97a-5eaf-4d5a-9fb3-d3997b7a5f08.pdf"}],"financialInterests":"","formattedTitle":"Integrating Statistical Analysis for Standardized Remote Sensing Eco-Environment Index Comparisons Under Land Use Land Cover Constraints: A Case Study of Blida Province, Algeria","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":true,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"acta-geophysica","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"agph","sideBox":"Learn more about [Acta Geophysica](http://link.springer.com/journal/11600)","snPcode":"11600","submissionUrl":"https://www.editorialmanager.com/agph/default2.aspx","title":"Acta Geophysica","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Remote Sensing Ecological Index, Land use and Land cover, Objective Techniques, Subjective Techniques, Combined Techniques","lastPublishedDoi":"10.21203/rs.3.rs-6177774/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6177774/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe Remote Sensing Ecological Index (RSEI) is a crucial tool for assessing ecological environmental quality and supporting sustainable land management. 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