Replication Data for: Mapping small-scale irrigation areas using expert decision rules and the random forest classifier in Northern Ethiopia

Dataset

DOI

The researcher has expert knowledge using the Planet Scope monthly NDVI composites, available in Google Earth Engine. Next, the Integrated Land and Water Information System was used to calculate slope, drainage order, and distance, as well as the NDVI-sum and Random Forest classifier inputs, which contain the necessary inputs and Python code. The RF results contain the results from the irrigation areas.

Identifier
DOI	https://doi.org/10.17026/PT/VADVHW
Metadata Access	https://phys-techsciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/PT/VADVHW

Provenance
Creator	A.A. Mohammedshum
Publisher	DANS Data Station Physical and Technical Sciences
Contributor	Mohammedshum, A.A.; Mohammedshum,A.A.; Mohammmedshum, Amina.A.; Maathuis, Ben H. P.; Mannaerts, Chris M.
Publication Year	2025
Funding Reference	This study was supported by the Dutch organization for internationalization in education(Nuffic), the University of Twente, the Faculty of Geo-information Science and Earth Observation(ITC), and the Ministry of Science and Higher Education of Ethiopia (MoSHE) under the Ethiopian Educational Network to Support Agricultural Transformation (EENSAT) project (CF13198, 2016).
Rights	CC-BY-4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess	true
Contact	Mohammedshum, A.A. (Faculty of Geo-Information Science and Earth Observation)

Representation
Resource Type	Dataset
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Version	1.0
Discipline	Earth and Environmental Science; Environmental Research; Geosciences; Natural Sciences