Litcius/Paper detail

Predicting soil carbon stock in remote areas of the Central Amazon region using machine learning techniques

Ana Carolina S. Ferreira, Érika Flávia Machado Pinheiro, Elias Mendes Costa, Marcos Bacis Ceddia

2023Geoderma Regional13 citationsDOI

Topics & Concepts

Random forestTransferabilityCovariateAmazon rainforestSupport vector machineSampling (signal processing)Digital soil mappingComputer scienceRegressionDecision treeData miningRemote sensingEnvironmental scienceMachine learningStatisticsMathematicsSoil scienceSoil classificationSoil waterGeographyFilter (signal processing)LogitBiologyComputer visionEcologySoil Geostatistics and MappingGeochemistry and Geologic MappingSoil and Unsaturated Flow
Predicting soil carbon stock in remote areas of the Central Amazon region using machine learning techniques | Litcius