Real Time Monitoring of Cropping Pattern Using Geospatial Analysis
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...
| Main Authors: | , , , , , , , |
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| Format: | Informe técnico |
| Language: | Inglés |
| Published: |
International Food Policy Research Institute
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/162550 |
| _version_ | 1855533634623111168 |
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| author | Gumma, Murali K. Panjala, Pranay Choudhary, Karan Dubey, Sunil K. Bellam, Pavan Kumar Murthy, C. S. Mohammed, Ismail Mohammed, Irshad |
| author_browse | Bellam, Pavan Kumar Choudhary, Karan Dubey, Sunil K. Gumma, Murali K. Mohammed, Irshad Mohammed, Ismail Murthy, C. S. Panjala, Pranay |
| author_facet | Gumma, Murali K. Panjala, Pranay Choudhary, Karan Dubey, Sunil K. Bellam, Pavan Kumar Murthy, C. S. Mohammed, Ismail Mohammed, Irshad |
| author_sort | Gumma, Murali K. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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. |
| format | Informe técnico |
| id | CGSpace162550 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1625502025-01-10T06:44:18Z Real Time Monitoring of Cropping Pattern Using Geospatial Analysis Gumma, Murali K. Panjala, Pranay Choudhary, Karan Dubey, Sunil K. Bellam, Pavan Kumar Murthy, C. S. Mohammed, Ismail Mohammed, Irshad digital innovation spatial data crop modelling remote sensing crop monitoring 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. 2024-11-14 2024-11-21T16:36:28Z 2024-11-21T16:36:28Z Report https://hdl.handle.net/10568/162550 en Open Access application/pdf International Food Policy Research Institute Gumma, Murali K, Irshad Mohammed, Karan Choudhary, Sunil K Dubey, Murthy, C.S, Pranay Panjala, Pavan Kumar Bellam, Ismail Mohammed. 2024. Real-Time Monitoring of Cropping Pattern Using Geospatial Analysis. https://hdl.handle.net/10568/162550 |
| spellingShingle | digital innovation spatial data crop modelling remote sensing crop monitoring Gumma, Murali K. Panjala, Pranay Choudhary, Karan Dubey, Sunil K. Bellam, Pavan Kumar Murthy, C. S. Mohammed, Ismail Mohammed, Irshad Real Time Monitoring of Cropping Pattern Using Geospatial Analysis |
| title | Real Time Monitoring of Cropping Pattern Using Geospatial Analysis |
| title_full | Real Time Monitoring of Cropping Pattern Using Geospatial Analysis |
| title_fullStr | Real Time Monitoring of Cropping Pattern Using Geospatial Analysis |
| title_full_unstemmed | Real Time Monitoring of Cropping Pattern Using Geospatial Analysis |
| title_short | Real Time Monitoring of Cropping Pattern Using Geospatial Analysis |
| title_sort | real time monitoring of cropping pattern using geospatial analysis |
| topic | digital innovation spatial data crop modelling remote sensing crop monitoring |
| url | https://hdl.handle.net/10568/162550 |
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