US_SoilGrids100m
Soil Grids
A dataset and model for predicting soil properties and classes at high spatial resolution using machine learning and remote sensing data.
Complete-coverage gridded predictions of soil properties (percent organic carbon, total nitrogen, bulk density, pH, and percent sand and clay) and classes (taxonomic great group and particle size in the control section) for the Conterminous U.S.
35 stars
7 watching
8 forks
Language: R
last commit: almost 9 years agoLinked from 1 awesome list
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