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

Forkuor, Gerald; Hounkpatin, Ozias; Welp, Gerhard; Thiel, Michael

doi:10.1371/journal.pone.0170478

Public

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

Published in PLoS ONE • Jan 23, 2017

Authors:

Gerald Forkuor

Ozias Hounkpatin

Gerhard Welp

Abstract

Accurate and detailed spatial soil information is essential for environmental modelling, risk assessment and decision making. The use of Remote Sensing data as secondary sources of information in digital soil mapping has been found to be cost effective and less time consuming compared to traditional...

Subject

Random forest

Environmental science

Digital soil mapping

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