Correlation Between Land Surface Temperature and Normalized Difference Vegetation Index of North Lakhimpur Revenue Circle of Lakhimpur District, Assam

Correlation Between Land Surface Temperature and Normalized Difference Vegetation Index of North Lakhimpur Revenue Circle of Lakhimpur District, Assam | 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 Correlation Between Land Surface Temperature and Normalized Difference Vegetation Index of North Lakhimpur Revenue Circle of Lakhimpur District, Assam Parishmita Borgohain, Jyotishmoy Bora This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7450719/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 Rising Land Surface Temperature (LST) has become a critical indicator of climate change, strongly influenced by urbanization, deforestation, and land use modifications. Vegetation cover, often represented by the Normalized Difference Vegetation Index (NDVI), plays a significant role in regulating surface thermal dynamics. Understanding the relationship between NDVI and LST is therefore essential for monitoring climate impacts at local and regional level. This study analyses the correlation between LST and NDVI over a 20-year period (2001–2021) in the North Lakhimpur Revenue Circle, Assam, India, using multi-temporal Landsat 7 ETM + and Landsat 8 OLI/TIRS imagery. LST was derived from the thermal bands, while NDVI was computed from the red and near-infrared reflectance values. Geospatial processing and statistical analysis were conducted in ERDAS Imagine 9.1, ArcGIS 10.4.1, and QGIS 3.30.3. Results show a clear warming trend, with mean LST increasing by approximately 2–6°C over the study period. Seasonal variations were evident: in October, NDVI and LST exhibited a weak positive correlation (R² < 0.02), while in December, the relationship was negative (R² up to 0.05), indicating the cooling effect of vegetation during the dry season. Regression analysis further confirmed that vegetation influence on surface temperature has strengthened in December, despite overall rising baseline temperatures. These findings highlight the dual role of vegetation in modulating thermal environments and the growing importance of sustainable land management to mitigate local climate warming in Northeast India. LST NDVI Correlation Remote Sensing GIS Full Text Additional Declarations No competing interests reported. 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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Vegetation cover, often represented by the Normalized Difference Vegetation Index (NDVI), plays a significant role in regulating surface thermal dynamics. Understanding the relationship between NDVI and LST is therefore essential for monitoring climate impacts at local and regional level. This study analyses the correlation between LST and NDVI over a 20-year period (2001\u0026ndash;2021) in the North Lakhimpur Revenue Circle, Assam, India, using multi-temporal Landsat 7 ETM\u0026thinsp;+\u0026thinsp;and Landsat 8 OLI/TIRS imagery. LST was derived from the thermal bands, while NDVI was computed from the red and near-infrared reflectance values. Geospatial processing and statistical analysis were conducted in ERDAS Imagine 9.1, ArcGIS 10.4.1, and QGIS 3.30.3. Results show a clear warming trend, with mean LST increasing by approximately 2\u0026ndash;6\u0026deg;C over the study period. Seasonal variations were evident: in October, NDVI and LST exhibited a weak positive correlation (R\u0026sup2; \u0026lt; 0.02), while in December, the relationship was negative (R\u0026sup2; up to 0.05), indicating the cooling effect of vegetation during the dry season. Regression analysis further confirmed that vegetation influence on surface temperature has strengthened in December, despite overall rising baseline temperatures. These findings highlight the dual role of vegetation in modulating thermal environments and the growing importance of sustainable land management to mitigate local climate warming in Northeast India.\u003c/p\u003e","manuscriptTitle":"Correlation Between Land Surface Temperature and Normalized Difference Vegetation Index of North Lakhimpur Revenue Circle of Lakhimpur District, Assam","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-09-09 13:05:57","doi":"10.21203/rs.3.rs-7450719/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","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}}],"origin":"","ownerIdentity":"1a42cdaa-c124-4e17-9e33-e2724df0d355","owner":[],"postedDate":"September 9th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-09-16T19:53:23+00:00","versionOfRecord":[],"versionCreatedAt":"2025-09-09 13:05:57","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7450719","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7450719","identity":"rs-7450719","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}