reviewTop 1% cited
Digital soil mapping algorithms and covariates for soil organic carbon mapping and their implications: A review
Geoderma · 2019 · Vol. 352 · pp. 395–413
Sushil Lamichhane✉(University of New England)Lalit Kumar(University of New England)Brian Wilson(University of New England)
Soil Geostatistics and MappingSoil Carbon and Nitrogen DynamicsGeochemistry and Geologic MappingDigital soil mappingCovariateRandom forestSupport vector machineSoil carbonMachine learningComputer scienceRegressionLinear regressionDecision tree
Funding
- University of New England
Citations
469
FWCI
17.70
field-weighted impact
References
219
Percentile
100%
vs. same field & year
Citations per year
Cited by
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References
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Geoderma · 2010 · 1,203 citations
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A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape
Ecological Indicators · 2015 · 796 citations
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Soil Science Society of America Journal · 1993 · 1,433 citations
On digital soil mapping
Geoderma · 2003 · 3,478 citations
Soil organic carbon concentrations and stocks on Barro Colorado Island — Digital soil mapping using Random Forests analysis
Geoderma · 2008 · 701 citations
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