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 |
| Sumario: | 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. |
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