Ethiopian Crop Type 2020 (EthCT2020) dataset

Published: 29 January 2024| Version 1 | DOI: 10.17632/mfpvmk8cnm.1
Contributors:
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, Tsegaab Tesfaye, Tamirat Negash, Mequanint Andulalem, Kitessa Gutu, Megersa Debela, Zerihun Eshetu,
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,
,

Description

A detailed description of the EthCT2020 dataset is provided in the journal (Data in Brief) article "Ethiopian Crop Type 2020 (EthCT2020) dataset: Crop type data for environmental and agricultural remote sensing applications in complex Ethiopian smallholder wheat-based farming systems (Meher season 2020/21)". For the 2020/21 main cropping season, the Ethiopian Crop Type 2020 (EthCT2020) dataset compiled from multiple sources provides 2,793 harmonized, quality-controlled, and georeferenced in-situ samples on annual crop types (7 crop groups; 22 crop classes) at smallholder field level across the complex and highly fragmented agricultural landscape of Ethiopia. The focus was on rainfed, wheat-based farming systems. Sources: a) Nationwide ground data collection campaign using ODK and GPS (GDCC), b) Wheat Rust Toolbox, a database for field disease surveillance and monitoring using ODK (WRTB), and c) CIMMYT farm household survey database (FHSD).

Files

Institutions

CIMMYT Ethiopia

Categories

Machine Learning, Agriculture Land Use, Earth Observation, Monitoring in Agriculture, Agricultural Spatial Modeling

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