Depth to bedrock map of China at 100m resolution

Introduction | Data citation | Data download

Introduction

We developed depth to bedrock (DTB) map of China at a spatial resolution of 100 meters for use in Earth System researches and other applications as well (Yan et al. 2018). This product is developed under an automated soil mapping framework. This dataset is based on observations interpreted from borehole logs in China (ca. 6382 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 148 covariates including climatic images, DEM-derived parameters, land cover and land use maps, MODIS surface reflectance bands, vegetation indices images and harmonized world soil database. Spatial prediction models were developed using random forest and Gradient Boosting Tree algorithms. The final predictions were generated at the spatial resolution of 100 m as an ensemble prediction of the two independently fitted models. Another dataset including DTB map and uncertainty estimation is developed by quantile regression forests model, it is provided where a consistent prediction and uncertainty are needed. The datasets are also aggregated to lower resolutions (1km and 10km).

The documentation of the dataset can be downloaded here, including readme file and the data citation paper.

Data citation

Details about the dataset are in the peer-reviewed paper. Full acknowledgement and referencing of all sources must be included in any documentation using any of the material contained in this datasets, as follows:

Yan, F., Shangguan, W., Zhang, J., and Hu, B.: Depth-to-Bedrock Map of China at a Spatial Resolution of 100 Meters, Scientific Data,7:2,2020.

Data download

The dataset in geotiff format can be downloaded in the following table.

We provided three versions with different resolution, i.e., 3.0 seconds (100m), 30 seconds (~1km) and 5 minutes (~10km).

1. DTB map (users who do not need an uncertainty map)

2. DTB map (users who need a consistent prediction and uncertainty)