Monitoring vegetation dynamics using multi-temporal NDVI and EVI images for different agro climatic zones of Tamil Nadu

Abstract

Abstract Vegetation indices serves as an essential tool in monitoring variations in vegetation. The vegetation indices used often viz., normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) were computed from MODIS vegetation index products. These two products characterize the global range of vegetation states and processes more effectively. This study is investigated to monitor the seasonal dynamics of vegetation by using time series NDVI and EVI indices, throughout the various agro climatic zones present in the Tamil Nadu from 2011 to 2021. Utilising the MOD13Q1 data product to procure the vegetation indices viz., NDVI and EVI for the years 2011 to 2021. The data sources were processed and extracted the NDVI and EVI values using ArcGIS software. There was a significant difference in vegetation intensity and status of vegetation over time, with NDVI having a larger value than EVI, indicating that biomass intensity varies over time in Tamil Nadu. Among the deciduous forest, crop land and scrub/ degraded forest, the deciduous forest showed highest mean values for NDVI and EVI. The study showed that vegetation indices extracted from MODIS offered the valuable information on vegetation status and condition at a short temporal time period.