Multi-temporal Analysis of Sentinel 2B Satellite Images for Identification of Paddy Crop in South Gujarat, India

Abstract

Agriculture as a primitive economic activity has changed its nature to great extent over the time period. Increasing needs as well as variability of need are the some of the major cause behind such change. To keep pace with this kind of dynamic scenario, it is essential to closely monitor the agricultural activity. Looking at the vastness of the agriculture-based country like India, timely generation of agricultural data is a matter of great concern for further necessary action and plans. Appropriate application geospatial technology combined with field observation can significantly assist to attain the objective. In the present work, Valsad district of south Gujarat is taken into consideration for the evaluation. The main objective of the paper is to identify the paddy crop through geospatial technique in association with the traditional field observation. For the extraction of paddy crop multi-temporal Sentinel 2B satellite images were used. Normalised Differential Vegetation Index (NDVI) helped in the process to extract the paddy crops in the study area with 77.42% accuracy level.