Soil organic carbon content mapping along the coast of northern Peru: an ensemble machine learning approach
Rodolfo Chuchon-Remon
IntroductionSoil organic carbon (SOC) content plays a fundamental role in regulating the global carbon cycle and mitigating climate change. It is also a key marker of soil health and a vital plant component. Its distribution in space varies in dry ecosystems, where climate and land use affect it. This study aimed to estimate and map SOC in the Motupe River Basin, northern Peru, by applying machine learning algorithms and ensemble methods.MethodsFour predictive models were evaluated: Support Vect