A Workflow for Crop Classification and Mapping in Google Earth Engine (GEE) Platform. A Case Study in Wheat- and Teff- based Cropping Systems
Citation
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.
Abstract/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.
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Author ORCID identifiers
Gizaw Desta https://orcid.org/0000-0002-3565-7665
Henok Desalegn https://orcid.org/0009-0008-3166-9061
Abiro Tigabie https://orcid.org/0000-0002-9702-6877
Getachew Agegnehu https://orcid.org/0000-0001-6787-0498
