Final Soil Grids for: 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.

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geospatialagriculture

Type de record:

dataset

Créateur:

Hou

Éditeur:

fig

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This is the final output (soil grids) of this paper

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doi.org figshare.com

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GPL-2.0 https://www.gnu.org/licenses/gpl-2.0.html

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Source Datasets for the paper: High Resolution Mapping of Soil Properties Using Remote Sensing Variables in South-Western Burkina Faso: a Comparison of Machine Learning and Multiple Regression ModelsSoil properties mapping using high resolution remote sensing data in south-western Burkina Faso

Source Datasets for the paper: High Resolution Mapping of Soil Properties Using Remote Sensing Variables in South-Western Burkina Faso: a Comparison of Machine Learning and Multiple Regression Models

Climate and topographic remote sensing variables

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

Six soil properties- sand, silt, clay, cation exchange capacity, soil organic carbon, nitrogen- have