most citedSoil Property and Class Maps of the Conterminous US at 100 meter Spatial Resolution based on a Compilation of National Soil Point Observations and Machine Learning

278 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

2 papers

cs.LG2025★ 13 cited

Kriging prior Regression: A Case for Kriging-Based Spatial Features with TabPFN in Soil Mapping

Jonas Schmidinger, Viacheslav Barkov, Sebastian Vogel +2

Machine learning and geostatistics are two fundamentally different frameworks for predicting and spatially mapping soil properties. Geostatistics leverages the spatial structure of…

physics.geo-ph2017★ 278 cited

Soil Property and Class Maps of the Conterminous US at 100 meter Spatial Resolution based on a Compilation of National Soil Point Observations and Machine Learning

Amanda Ramcharan, Tomislav Hengl, Travis Nauman +4

With growing concern for the depletion of soil resources, conventional soil data must be updated to support spatially explicit human-landscape models. Three US soil point datasetsw…