Real Time Monitoring of Cropping Pattern Using Geospatial Analysis

Murali K. Gumma, Pranay Panjala, Karan Choudhary, Sunil K. Dubey, Pavan Kumar Bellam, C. S. Murthy, Ismail Mohammed and Irshad Mohammed

CGIAR Initative Publications from International Food Policy Research Institute (IFPRI)

Abstract: This technical report discusses the application of geospatial analysis for real-time crop monitoring, focusing on the crop distribution in the study districts of Uttar Pradesh—Lakshmipur Kheri, Sitapur, and Shahjahanpur—for the Rabi 2023-24 season. The study employs Sentinel-2 time series satellite data in conjunction with ground data collection to effectively classify and map crops, highlighting the predominant crops in each district. Furthermore, the utilization of this data for various stakeholders is explored to enhance decision-making processes in agriculture.

Keywords: digital innovation; spatial data; crop modelling; remote sensing; crop monitoring; India; Asia (search for similar items in EconPapers)
Date: 2024-11-14
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