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ISSN 2063-5346
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Land cover change detection using NDVI and EVI temporal images of Tamil Nadu

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M V Priya*1, R Kalpana1, S Pazhanivelan2, R Kumaraperumal3, K P Ragunath2, G Vanitha4, Ashmitha Nihar3, Manikandan S3 and Vasumathi V1
» doi: 10.48047/ecb/2022.12.10.617

Abstract

Land cover change is perhaps one of the most vulnerable to the weather factors and anthropogenic activities. MODIS sensor delivers relevant temporal data with extensive coverage that greatly assists in the timely surveillance of vegetation and crop production, which had been a demanding and challenging task for researchers. In this study, vegetation indices were employed to know the vegetation health as NDVI and EVI offered the live status of the vegetation. The satellite datasets were downloaded and processed MODIS (MOD13Q1) during the study period from 2020 to 2021 in Tamil Nadu. The data sources were processed and extracted the NDVI and EVI values using ArcGIS software. The results showed that based on the mean, maximum and minimum values of NDVI and EVI, the highest variation was noticed over the swamp forest. The mean NDVI and EVI of crop land were 0.52 and 0.33, respectively. However, NDVI had a larger value when compared to EVI, indicating the variable intensity of biomass in the study region.

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