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

Domaine:

geospatialagriculture

Type de record:

dataset
Créateur:
Moh
Éditeur:
MohMohMohMaa
Éditeur:
DAN
Hôte:avatar
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.

Visit

doi.orgphys-techsciences.datastations.nl

Tasks

computer visionimage classification

Tags

Earth and Environmental SciencesDEM; expert knowledge; NDVI-sum; Planet NICFI; random forest; Zamra catchment

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

Similaires

Mapping Small-Scale Irrigation Areas Using Expert Decision Rules and the Random Forest Classifier in Northern Ethiopia

Mapping Small-Scale Irrigation Areas Using Expert Decision Rules and the Random Forest Classifier in Northern Ethiopia

The mapping of small-scale irrigation areas is essential for food security and water resource manage