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.

Permanent link to cite or share this item

External link to download this item

DOI

Contributes to SDGs

SDG 1 - No povertySDG 2 - Zero hungerSDG 13 - Climate action

Investors/sponsors

CGIAR Action Areas

CGIAR Programs and Accelerators

Share

Review Status

Language

en

Countries

Access Rights

Open Access Open Access

Usage Rights

CC-BY-NC-4.0

Attention