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CALL FOR PAPERS : DEC-2018

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Call for Paper Vol-7 Iss-02 Feb-2018

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Published Vol-07 Iss-01 Jan-18

IJRET Volume-07 Issue-01, Jan-2018 is published now.

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APPLICATION OF REMOTE SENSING IN UNDERSTANDING THE RELATIONSHIP BETWEEN NDVI AND LST

Suresh. S, Mani. K

Abstract: Vegetation abundance mainly depends on local climate. The vegetation distribution is largely affected by various human activities. For instance, urbanization and industrialization are the dominant factors affect the vegetation distribution and its extend. But vegetation is one of the prime variables that influence the climatic variables of water vapour and atmospheric energy interaction. Remote Sensing of Land Surface Temperature (LST) has traditionally been used the Normalised Difference Vegetation Index (NDVI) as the indicator of vegetation abundance to estimate the LST and vegetation relationship (Adil Hussain et,al, 2014). In this study, the spatial variation of vegetation index in Devikulam Taluk have analysed using Landsat TM, ETM+ and OLI data for 25 years. The vegetation index generated from landsat imageries depict that thick vegetation extent have drastically decreasing. At the same time LST estimated from the same data indicates that LST have increasing steadily.

Keywords: NDVI, LST, Landsat imageries and Devikulam

DOI: https://doi.org/10.15623/ijret.2017.0602017

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