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Soil properties mapping using high resolution remote sensing data in south-western Burkina Faso

Domaine:

geospatialagriculture

Type de record:

dataset
Créateur:
Hou
Éditeur:
fig
Hôte:avatar
Six soil properties- sand, silt, clay, cation exchange capacity, soil organic carbon, nitrogen- have been predicted using remote sensing data in the Dano Catchment (West Africa, Burkina Faso). The predictors topographical and sprectral (Landsat and RapidEye) data. These data are in support of the article entitled: "High resolution mapping of soil properties using remote sensing variables in south-western Burkina Faso: a comparison of machine learning and multiple linear regression models". The uploaded datasets include the following: (1) The dataset used for the present manuscript as well as the R code (2) The maps related to the topographical and climatic variables (3) The maps related to Landsat variables (4) the shapefile containing all data points for each soil property.

Visit

doi.orgfigshare.com

Tags

50301 Carbon Sequestration ScienceFOS: Agriculture, forestry and fisheriesFOS: Agriculture, forestry and fisheries50302 Land Capability and Soil Degradation50304 Soil Chemistry (excl. Carbon Sequestration Science)Soil Science

Licenses

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

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