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Catalog datasets represent a fraction of data in use by active WMA projects. The team is working on including more datasets to provide a complete view of data-in-use. Let us know how your experience is!

Datasets


A Global Depth to Bedrock Dataset for Earth System Modeling

Domain: Soils

Spatial Resolution: 250 meter

Temporal Frequency: NA

Temporal Coverage: 2017

Spatial Extent: Global

Source: ISRIC; Academic Institution

Update Type: Static

Update Frequency: NA

Update Detail: NA

Access:

Access Details:

The files.isric.org access point is a direct download of the data file.

Description:

This is a global depth to bedrock dataset (DTB) for use in Earth System Models and other applications as well. It provides three variables, the absolute DTB in cm, the censored DTB in cm within 0–200 cm (here values equal to 200 cm indicate “deep as or deeper than”), and the occurrence of R horizon (bedrock) within 0–200 cm expressed as 0–1 probability values. This product is developed under an automated soil mapping framework as part of the SoilGrids system (Hengl, T. et al., 2017). This dataset is based on Observations were extracted from a global compilation of soil profile data (approximately 1,30,000 locations) and borehole data (approximately 1.6 million locations). Additional pseudo-observations generated by expert knowledge were added to fill in large sampling gaps. The model training points were then overlaid on a stack of 155 covariates including DEM-based hydrological and morphological derivatives, lithologic units, MODIS surface reflectance bands and vegetation indices derived from the MODIS land products. Global spatial prediction models were developed using random forest and Gradient Boosting Tree algorithms. The final predictions were generated at the spatial resolution of 250 m as an ensemble prediction of the two independently fitted models. The dataset can be also aggregate to a lower resolution (1km and 10km).

Citation:

Shangguan, W., Hengl, T., de Jesus, J.M., Yuan, H. and Dai, Y., 2017, Mapping the global depth to bedrock for land surface modeling: Journal of Advances in Modeling Earth Systems, v. 9, no. 1, p. 65-88, https://doi.org/10.1002/2016MS000686