Improving prediction accuracy for acid sulfate soil mapping by means of variable selection

Improving prediction accuracy for acid sulfate soil mapping by means of variable selection

Acid sulfate soils can cause environmental damage and geotechnical problems when drained or exposed to oxidizing conditions. This makes them one of the most harmful soils found in nature. In order to reduce possible damage derived from this type of soil, it is fundamental to create occurrence maps s...

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Bibliographic Details
Main Authors:	Virginia Estévez, Stefan Mattbäck, Anton Boman, Amélie Beucher, Kaj-Mikael Björk, Peter Österholm
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-07-01
Series:	Frontiers in Environmental Science
Subjects:	variable selection acid sulfate soils machine learning digital soil mapping random forest gradient boosting
Online Access:	https://www.frontiersin.org/articles/10.3389/fenvs.2023.1213069/full

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