The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/16451739

Anatol Helfenstein; Vera L. Mulder; Gerard B.M. Heuvelink; Joop P. Okx (2021): Tier 4 maps of soil pH at 25 m resolution for the Netherlands. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/16451739.v1

Dataset

• Soil Sciences

accuracy thresholds, digital soil map, high resolution, mean, median, Netherlands, Quantile Regression Forest, quantiles, soil pH, uncertainty

CC BY 4.0

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by Anatol Helfenstein , Vera L. Mulder, Gerard B.M. Heuvelink, Joop P. Okx

This dataset contains maps (GeoTIFFs) of soil pH of six standard depth layers for the Netherlands at 25 m resolution. The six standard depth layers are from 0-5 cm, 5-15 cm, 15-30 cm, 30-60 cm, 60-100cm and 100-200cm. For each of these depth layers, there is a map of mean predictions, the 5th, 50th (median) and 95th quantile, as well as the 90% prediction interval (PI90 = 95th - 5th quantile) and a categorical map of the accuracy thresholds ("none", A, AA and AAA) based on GlobalSoilMap specifications for Tier 4 products. The accuracy thresholds were derived from the PI90, which is a measure of prediction uncertainty. All maps are based on predictions (mean) and estimations (quantiles) using a Quantile Regression Forest model, which was calibrated using 15338 soil pH measurements from the "Bodemkundig Informatie Systeem" (BIS) and 195 covariates (spatially explicit environmental variables of soil forming factors).

• 2021-09-07 first online, published, posted

4TU.ResearchData

GeoTIFF (.tif)

Tier 4 maps of soil pH at 25 m resolution for the Netherlands

• https://research.wur.nl/en/projects/soil-property-mapping-wot-04-013-010
• https://github.com/anatol-helfenstein/BIS-3D

• This project (WOT-04-013-010) was financed by the Dutch Ministry of Agriculture, Nature and Food Quality: https://research.wur.nl/en/projects/soil-property-mapping-wot-04-013-010

Department of Environmental Sciences, Wageningen University and Research