Digital Terrain Analysis in Soil Science and Geology
By Igor V. Florinsky. 2011
263 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/2d4445c61716373089b7a6972197e92caec18319
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In Artificial Intelligence
In Environmental Engineering
Citations in the corpus
- An illustrated introduction to general geomorphometry (2017, methodology): “To search topographic attributes controlling the property, it is reasonable to utilize a representative set of the attributes at the first stage of a study (e.g. soil predictive modelling with morphometric variables as predictors; Florinsky, 2016: ch 11; McBratney et al., 2003).”