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Soil macronutrient mapping in the Beni Moussa irrigated district, Tadla Plain, Morocco: data, code and 10 m products

Domaine:

agriculturegeospatial

Type de record:

datasetsoftware
Créateur:
AmrAriELHEl
Éditeur:
Zenodo
Hôte:avatar
Analysis-ready data, complete analysis code, cross-validation fold assignments, out-of-fold predictions and georeferenced 10 m prediction, uncertainty, dissimilarity and applicability rasters supporting the article 'High-resolution mapping of soil macronutrients in a semi-arid climate (Morocco) using Sentinel-2 data and machine learning models', submitted to Environmental Monitoring and Assessment. 110 composite topsoil samples (0-20 cm) and 40 Sentinel-2 predictors; performance assessed by nested spatial block cross-validation over 10 spatial blocks. The eleven 10 m GeoTIFFs are included in this Zenodo record but not in the GitHub repository.

Visit

doi.org

Tasks

image classificationcomputer vision

Tags

digital soil mappingspatial cross-validationarea of applicabilitySentinel-2soil nitrogensoil phosphorussoil potassiumTadla PlainMoroccorandom forest+1

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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