A Workflow for Crop Classification and Mapping in Google Earth Engine (GEE) Platform. A Case Study in Wheat- and Teff- based Cropping Systems
Crop classification and mapping are essential for sustainable agricultural practices, crop monitoring, and resource allocation. The main goals of the satellite-based crop classification framework are to classify and map different crop types and develop a mapping analytical workflow that applies to t...
| Autores principales: | , , , , |
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| Formato: | Case Study |
| Lenguaje: | Inglés |
| Publicado: |
International Crops Research Institute for the Semi-Arid Tropics
2025
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/179382 |
| _version_ | 1855518422248456192 |
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| author | Legesse, Gizachew Desta, Gizaw Henok, Desalegn Tigabie, Abiro Agegnehu, Getachew |
| author_browse | Agegnehu, Getachew Desta, Gizaw Henok, Desalegn Legesse, Gizachew Tigabie, Abiro |
| author_facet | Legesse, Gizachew Desta, Gizaw Henok, Desalegn Tigabie, Abiro Agegnehu, Getachew |
| author_sort | Legesse, Gizachew |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Crop classification and mapping are essential for sustainable agricultural practices, crop monitoring, and resource allocation. The main goals of the satellite-based crop classification framework are to classify and map different crop types and develop a mapping analytical workflow that applies to the classification of cultivated crops and phenological features. This information is then utilized for providing production levels of the cropping systems, and delivering site-and crop-specific agronomic advisory tailored to the diverse agricultural landscapes where different crops are grown. |
| format | Case Study |
| id | CGSpace179382 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | International Crops Research Institute for the Semi-Arid Tropics |
| publisherStr | International Crops Research Institute for the Semi-Arid Tropics |
| record_format | dspace |
| spelling | CGSpace1793822026-01-06T02:03:35Z A Workflow for Crop Classification and Mapping in Google Earth Engine (GEE) Platform. A Case Study in Wheat- and Teff- based Cropping Systems Legesse, Gizachew Desta, Gizaw Henok, Desalegn Tigabie, Abiro Agegnehu, Getachew crop modelling crop classification remote sensing crop mapping cropping systems Crop classification and mapping are essential for sustainable agricultural practices, crop monitoring, and resource allocation. The main goals of the satellite-based crop classification framework are to classify and map different crop types and develop a mapping analytical workflow that applies to the classification of cultivated crops and phenological features. This information is then utilized for providing production levels of the cropping systems, and delivering site-and crop-specific agronomic advisory tailored to the diverse agricultural landscapes where different crops are grown. 2025-12-23 2026-01-05T08:56:41Z 2026-01-05T08:56:41Z Case Study https://hdl.handle.net/10568/179382 en Open Access application/pdf International Crops Research Institute for the Semi-Arid Tropics Legesse, Gizachew; Desta, Gizaw; Henok, Desalegn; Tigabie, Abiro; & Agegnehu, Getachew. 2025. A Workflow for Crop Classification and Mapping in Google Earth Engine (GEE) Platform. A Case Study in Wheat- and Teff- based Cropping Systems.Patancheru, India: ICRISAT. |
| spellingShingle | crop modelling crop classification remote sensing crop mapping cropping systems Legesse, Gizachew Desta, Gizaw Henok, Desalegn Tigabie, Abiro Agegnehu, Getachew A Workflow for Crop Classification and Mapping in Google Earth Engine (GEE) Platform. A Case Study in Wheat- and Teff- based Cropping Systems |
| title | A Workflow for Crop Classification and Mapping in Google Earth Engine (GEE) Platform. A Case Study in Wheat- and Teff- based Cropping Systems |
| title_full | A Workflow for Crop Classification and Mapping in Google Earth Engine (GEE) Platform. A Case Study in Wheat- and Teff- based Cropping Systems |
| title_fullStr | A Workflow for Crop Classification and Mapping in Google Earth Engine (GEE) Platform. A Case Study in Wheat- and Teff- based Cropping Systems |
| title_full_unstemmed | A Workflow for Crop Classification and Mapping in Google Earth Engine (GEE) Platform. A Case Study in Wheat- and Teff- based Cropping Systems |
| title_short | A Workflow for Crop Classification and Mapping in Google Earth Engine (GEE) Platform. A Case Study in Wheat- and Teff- based Cropping Systems |
| title_sort | workflow for crop classification and mapping in google earth engine gee platform a case study in wheat and teff based cropping systems |
| topic | crop modelling crop classification remote sensing crop mapping cropping systems |
| url | https://hdl.handle.net/10568/179382 |
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