articleTop 10% cited
An overview and comparison of machine-learning techniques for classification purposes in digital soil mapping
Geoderma · 2015 · Vol. 265 · pp. 62–77
Brandon Heung✉(Simon Fraser University)Hung Chak Ho(Simon Fraser University)Jin Zhang(Simon Fraser University)Anders Knudby(University of Ottawa)Chuck Bulmer(Ministry of Forests)Margaret Schmidt(Simon Fraser University)
Soil Geostatistics and MappingSoil and Unsaturated FlowGeochemistry and Geologic MappingDigital soil mappingRandom forestSupport vector machineComputer scienceMachine learningArtificial intelligenceSoil surveyMultinomial logistic regressionSampling (signal processing)Terrain
Funding
- Natural Sciences and Engineering Research Council of Canada
Citations
508
FWCI
11.65
field-weighted impact
References
107
Percentile
99%
vs. same field & year
Citations per year
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International Journal of Remote Sensing · 1993 · 756 citations
On digital soil mapping
Geoderma · 2003 · 3,478 citations
Support vector machines for classification in remote sensing
International Journal of Remote Sensing · 2005 · 1,042 citations
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