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Real Time Monitoring of Cropping Pattern Using Geospatial Analysis

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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...

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Main Authors: Gumma, Murali K., Panjala, Pranay, Choudhary, Karan, Dubey, Sunil K., Bellam, Pavan Kumar, Murthy, C. S., Mohammed, Ismail, Mohammed, Irshad
Format: Informe técnico
Language:Inglés
Published: International Food Policy Research Institute 2024
Subjects:
digital innovation
spatial data
crop modelling
remote sensing
crop monitoring
Online Access:https://hdl.handle.net/10568/162550
Summary: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.

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