Articles | Volume 3, issue 4
SOIL, 3, 191–210, 2017
https://doi.org/10.5194/soil-3-191-2017
SOIL, 3, 191–210, 2017
https://doi.org/10.5194/soil-3-191-2017
Original research article
16 Nov 2017
Original research article | 16 Nov 2017

Mapping of soil properties at high resolution in Switzerland using boosted geoadditive models

Madlene Nussbaum et al.

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Latest update: 01 Jul 2022
Short summary
Digital soil mapping (DSM) relates soil property data to environmental data that describe soil-forming factors. With imagery sampled from satellites or terrain analysed at multiple scales, large sets of possible input to DSM are available. We propose a new statistical framework (geoGAM) that selects parsimonious models for DSM and illustrate the application of geoGAM to two study regions. Straightforward interpretation of the modelled effects likely improves end-user acceptance of DSM products.