SG
Soil Geostatistics and Mapping
This cluster of papers represents advances in digital soil mapping techniques, including the use of geostatistics, remote sensing, spectroscopy, and machine learning for mapping and predicting soil properties. The focus is on spatial interpolation, global soil information, and the application of these techniques for soil security and terrain analysis.
68,088
Publications
1,054,358
Citations
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- Article (93,221)
- Book Chapter (8,612)
- Preprint (5,900)
- Dissertation (4,959)
- Dataset (2,540)
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- Open Access (47,225)
- Closed Access (73,276)
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- Alex B. McBratney (456)
- Budiman Minasny (370)
- José Alexandre Melo Demattê (309)
- G.B.M. Heuvelink (252)
- Noel Cressie (205)
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- Soil Geostatistics and Mapping (120,501)
- Geochemistry and Geologic Mapping (22,855)
- Soil Carbon and Nitrogen Dynamics (10,989)
- Soil and Unsaturated Flow (10,426)
- Remote Sensing in Agriculture (10,425)