Application of Remote Sensing Techniques in Determining the Risk Taking Level of Different Seasons on Fire Generation in Terms of NDVI Index During the Year Case Study: Golestan Province, Iran

Application of Remote Sensing Techniques in Determining the Risk Taking Level of Different Seasons on Fire Generation in Terms of NDVI Index During the Year Case Study: Golestan Province, Iran | 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 Application of Remote Sensing Techniques in Determining the Risk Taking Level of Different Seasons on Fire Generation in Terms of NDVI Index During the Year Case Study: Golestan Province, Iran Kaveh Ostad Ali Askari This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5857718/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 Knowledge of the nature of seasons and months in terms of the fire risk is very important in environmental planning, land management and forest resource management in order to achieve the sustainable development. One of the applications of remote sensing in this regard is the continuous monitoring of the zone to detect changes. Currently, the vegetation mapping is used to generate information for macro and micro planning. In order to monitor changes across the Golestan province forests through different seasons in 2000-2015, all images of MOD13Q1 MODIS were prepared during this period. Then, the images of the Normalized Difference Vegetation Index (NDVI) were prepared for the four seasons and twelve months of the year. The classification of the indices included lands covered with excellent, moderate, weak and very poor coverage was conducted in order to investigate the changes. Then, the comparison was then performed by LAND FIRE points and the validity of the classification results was evaluated. It was concluded that the seasons of the year from high risk to low risk were winter, summer, fall and spring, respectively. In the high-risk season, winter, January was the most dangerous month and in the low risk season, spring, may was the lowest month of the year. Geographic Information Systems Forest Cover Surface Changes NDVI Vegetation Index Remote Sensing Fire 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. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-5857718","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":404026026,"identity":"658e4857-3367-4441-a16d-cf49fb01b652","order_by":0,"name":"Kaveh Ostad Ali Askari","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA+UlEQVRIiWNgGAWjYBACCSBmBrPYGxsOJFSAuMwNRGrhOXzwwYczIC4jsVok0pINZ7aBWAS0SLafMXxcwGAjz9+QYybNO682mr8dqOVHxTacWqR5coyNZzCkGc44cAaoZdvx3BmHGRsYe87cxqlFjiEtTZqHAajsYA9Iy7HcBiCbmbENjxb+Z+m/gVrs5x/mAWqZcyx3PiEt0hLJx5iBWhI3HGMDer+hJncDIS2SMx4fluYxSEveeIYZGMjHDuRuBDsSj18kzic2fuapsLGdd/8hMCpr6nLnnQdG0I8K3FogwADOOgwmDxBQjwLqSFE8CkbBKBgFIwQAAASgXBak3BGRAAAAAElFTkSuQmCC","orcid":"https://orcid.org/0000-0001-5637-1124","institution":"American University in Dubai","correspondingAuthor":true,"prefix":"","firstName":"Kaveh","middleName":"Ostad Ali","lastName":"Askari","suffix":""}],"badges":[],"createdAt":"2025-01-19 04:59:25","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-5857718/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5857718/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":74414030,"identity":"cad1c522-35fe-4b16-a78d-0c3e21841df6","added_by":"auto","created_at":"2025-01-22 06:09:57","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":701397,"visible":true,"origin":"","legend":"","description":"","filename":"ApplicationofRemoteSensingTechniquesinDetermining.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5857718/v1_covered_e0f7bd5f-41f0-4bb0-8ec8-bf7f65710ada.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003e\u003cstrong\u003eApplication of Remote Sensing Techniques in Determining the Risk Taking Level of Different Seasons on Fire Generation in Terms of NDVI Index During the Year Case Study: Golestan Province, Iran\u003c/strong\u003e\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"American University in Dubai","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":"Forest Cover Surface Changes, NDVI Vegetation Index, Remote Sensing, Fire,","lastPublishedDoi":"10.21203/rs.3.rs-5857718/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5857718/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eKnowledge of the nature of seasons and months in terms of the fire risk is very important in environmental planning, land management and forest resource management in order to achieve the sustainable development. 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