Identification Of Rice Cropping Pattern Using Vegetation Index In Veeranam Catchment Area, Tamil Nadu, India

Document Type : Primary Research paper

Authors

1 Research Scholar, Department of Civil Engineering, Faculty of Engineering and Technology, Annamalai University, Chidambaram, Tamil Nadu, 608002, India.

2 Professor, Department of Civil Engineering, Faculty of Engineering and Technology, Annamalai University, Chidambaram, Tamil Nadu, 608002, India.

Abstract

Rice has developed into a critical component of human nourishment, serving as a vital lifeline for Asian countries, especially India, where livelihoods are strongly reliant on rice commodities. Remote sensing has enormous promise in agriculture because it can infer the amount of soil and vegetation in a non-destructive manner. The crop pattern of the study area was determined using the NDVI vegetation index using remotely sensed Landsat 8 OLI imageries acquired in August 2020, October 2020, and April 2021. The Landsat 8 OLI data set contains four bands for vegetation monitoring: blue, green, red, and near-infrared. The analysis used three seasons: August 2020 before the monsoon season, October 2020 during the monsoon season, and April 2021 during the dry season. The villagers near the lake prefer August for agricultural cultivation due to the increased water inflow. After August, the Monsoon season begins each year, which adds another rationale for selecting August as the month for cultivation. The NDVI data indicate that the lake is overflowing with water in October due to the Monsoon and thoroughly dried in the Summer. The study shows that remote sensing through satellite is a valuable method for determining crop patterns. The authors argue that developing tailored remedies requires a fundamental understanding of water bodies. Individuals should understand that freshwater is a finite resource that must be managed wisely. Residents should investigate all feasible methods of water harvesting, restoration, and recycling. Policymakers should focus their efforts on discovering measures to improve the efficiency of irrigation water consumption.

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