Optimized Soil Adjusted Vegetation Index Mapping of Pune District using Google Earth Engine

Optimized Soil Adjusted Vegetation Index Mapping of Pune District using Google Earth Engine | 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 Optimized Soil Adjusted Vegetation Index Mapping of Pune District using Google Earth Engine nobin chandra paul, Ponnaganti Navyasree This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5605500/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This article explores the application of the Optimized Soil Adjusted Vegetation Index in mapping the vegetation cover of Pune District using Google Earth Engine. The map has been generated using Google Earth Engine from MODIS products (MOD13Q1) over a 23-year period (2000-2022) at spatial and temporal resolutions of 250 meters and 16 days, respectively. By incorporating the soil-brightness correction factor, this index enhances the accuracy of vegetation assessments, particularly in regions with low vegetative cover or mixed land use. In the OSAVI map of Pune district, the values range from -0.048 to 0.455, where negative values indicate non-vegetated surfaces and higher values, observed in tehsils like Mulshi, Velhe, Maval, and Bhor, suggest dense and healthy vegetation. Validation of the generated map was carried out by using high-resolution Google Earth images. This validation process showcased the effectiveness of the generated map in accurately identifying vegetation patterns within the Pune district. The alignment of the map’s results with the patterns observed in the Google Earth images solidifies its accuracy and reliability. The generated map can be a valuable tool for monitoring land degradation, assessing crop health, detecting abiotic stress indicators, monitoring agricultural drought and studying vegetation dynamics in arid and semi-arid regions where soil brightness can significantly impact NDVI measurements. The implications of this work are significant. By enhancing vegetation assessment accuracy, it provides reliable tools for policymakers and environmental managers to monitor and manage natural resources. Geographic Information Systems Agricultural Drought GEE Mapping NDVI OSAVI SAVI Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted 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-5605500","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":387799743,"identity":"0e2a39b8-75c6-4eb8-ac33-b0951f9fdf26","order_by":0,"name":"nobin chandra paul","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAvElEQVRIiWNgGAWjYHAC5sd//9gAacbGA8RqYTPgbUgDaWkgWguDBG/DYTCDOC3m7GcPGEjuOG+3tv0w0JYam2iCWix78hIeGJ65nbztTCJQy7G03AZCWgxu8BgYJLDdTjY7ANTC2HCYOC0SB9jOJZudf0iCFsnGtgN2ZjeItuVMXpoxw5nkBLMbQFsSiPLL8bOHHzNU2NmbnU9/+OBDjQ1hLQwMPGAyEawygbByhBZ74hSPglEwCkbBiAQAIONIvMr57LAAAAAASUVORK5CYII=","orcid":"https://orcid.org/0000-0003-4290-9661","institution":"ICAR - National Institute of Abiotic Stress Management, Baramati","correspondingAuthor":true,"prefix":"","firstName":"nobin","middleName":"chandra","lastName":"paul","suffix":""},{"id":387800056,"identity":"92484cc0-4c7c-4b69-b2ac-7cfb48d76157","order_by":1,"name":"Ponnaganti Navyasree","email":"","orcid":"https://orcid.org/0009-0003-6899-155X","institution":"ICAR - National Institute of Abiotic Stress Management, Baramati","correspondingAuthor":false,"prefix":"","firstName":"Ponnaganti","middleName":"","lastName":"Navyasree","suffix":""}],"badges":[],"createdAt":"2024-12-09 03:46:59","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-5605500/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5605500/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":71129313,"identity":"f8111b58-1105-40b7-a754-31cdf5350e6e","added_by":"auto","created_at":"2024-12-11 12:03:24","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":796978,"visible":true,"origin":"","legend":"","description":"","filename":"rpncpOSAVI02122024revised.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5605500/v1_covered_daf1d65d-59b9-4278-9fd1-293cb4e9a1c4.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003e\u003cstrong\u003eOptimized Soil Adjusted Vegetation Index Mapping of Pune District using Google Earth Engine\u003c/strong\u003e\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"National Institute of Abiotic Stress Management","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Agricultural Drought, GEE, Mapping, NDVI, OSAVI, SAVI","lastPublishedDoi":"10.21203/rs.3.rs-5605500/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5605500/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis article explores the application of the Optimized Soil Adjusted Vegetation Index in mapping the vegetation cover of Pune District using Google Earth Engine. 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