SoilKsatDB: global compilation of soil saturated hydraulic conductivity measurements for geoscience applications
A total of 13,258 Ksat measurements from 1,908 sites were assembled from the published literature and other sources, standardized, and quality-checked in order to obtain a global database of soil saturated hydraulic conductivity (SoilKsatDB). The SoilKsatDB covers most global regions, with the hi
A total of 13,258 Ksat measurements from 1,908 sites were assembled from the published literature and other sources, standardized, and quality-checked in order to obtain a global database of soil saturated hydraulic conductivity (SoilKsatDB). The SoilKsatDB covers most global regions, with the highest data density from North America, followed by Europe, Asia, South America, Africa, and Australia. In addition to Ksat, other soil variables such as soil texture (11,584 measurements), bulk density (11,262 measurements), soil organic carbon (9,787 measurements), field capacity (7,382) and wilting point (7,411) are also included in the data set.
To cite this dataset please use:
- Gupta, S., Hengl, T., Lehmann, P., Bonetti, S., and Or, D.: SoilKsatDB: global soil saturated hydraulic conductivity measurements for geoscience applications, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-149, in review, 2021.
Examples of using the SoilKsatDB to generate global maps of Ksat can be found in:
- Gupta, S., Hengl, T., Lehmann, P., Bonetti, S., Papritz, A. and Or, D. (2021): Global prediction of soil saturated hydraulic conductivity using random forest in a Covariate-based Geo Transfer Functions (CoGTF) framework. accepted for publication in Journal of Advances in Modeling Earth Systems (JAMES).
Importing and binding steps are described in detail here. To report an issue or bug please use this link. Ksat data tutorial explaining how to access and use data is available here.
In the following, we introduce two different file packages, one for the soil saturated hydraulic conductivity (“sol_ksat”) and another one collecting additional soil hydraulic properties (“sol_hydro”) as well that will be extended in the near future. Note that the package “sol_hydro” is not related to the publication listed above (Gupta et al., 2021a).
Description of the files:
The datasets in this repository include:
sol_ksat.pnts_horizons.***: provides a global compilation of Ksat values and the information described in Table 2 in Gupta et al., (2020). This data is provided in three different data formats.
sol_ksat.pnts_horizons.arff,
sol_ksat.pnts_horizons.csv.gz,</
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Files are hosted on the source repository. Click download to access the full dataset.