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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...

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Main Authors: Legesse, Gizachew, Desta, Gizaw, Henok, Desalegn, Tigabie, Abiro, Agegnehu, Getachew
Format: Case Study
Language:Inglés
Published: International Crops Research Institute for the Semi-Arid Tropics 2025
Subjects:
crop modelling
crop classification
remote sensing
crop mapping
cropping systems
Online Access:https://hdl.handle.net/10568/179382
Summary: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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