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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 Models

Domaine:

geospatialagriculture

Type de record:

dataset
Créateur:
Hou
Éditeur:
fig
Hôte:avatar
Climate and topographic remote sensing variables

Tags

Soil Science

Licenses

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

Similaires

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.

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

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