Winter Wheat Acreage Estimation Using Sentinel-2 Data: A Case Study Of Haryana State.

Abstract

Wheat is a basic staple food that is extensively farmed, widely consumed, and in great demand in all over humankind. It's found in a variety of foods and serves as a vital component of the human body.Wheat growing has historically been dominated by India's northern states. Wheat has been abundant in India's northern provinces of Punjab and Haryana Plains. Traditional methods can be used to estimate regional grain yields, but the procedure is typically difficult and time-consuming. We discuss the creation of a simplified technique for estimating regional wheat grain output utilising publicly available agricultural data, field-level yield, and Sentinel-2 satellite remote sensing data. The efficacy of Sentinel-2 Supervised Classificationand time series as a wheat-monitoring tool across the wheat-growing areas of Haryana State is investigated in this study. The open-access data from the European Space Agency's (ESA) Sentinel-2 satellite, which provides worldwide coverage with an average 5-day return frequency and a spatial resolution of up to 10 metres, might offer estimates of these variables at sub-field resolution. This study gives the potential of using Sentinel-2 data for wheat acreage estimation at high spatial resolution data.