We're sharing a valuable 2023 global soil erodibility dataset acquired through complex application procedures. This resource is particularly useful for GIS researchers conducting soil erosion studies.

Dataset Overview

The package contains 5 key datasets:

  1. K_factor_with_Ksat.tif
    Modified global soil erodibility map incorporating measured Ksat values into the Wischmeier and Smith (1978) texture-based K-factor equation.
  2. K_factor_soiltexture_Wischmeier.tif
    Standard global soil erodibility map using the unmodified Wischmeier and Smith (1978) texture-based K-factor equation.
  3. K_GloSEM_factor.tif
    GloSEM soil erodibility map developed by Borrelli et al. (2017), originally at 250m resolution but resampled to 1km for comparative analysis.
  4. K_factor_with_Ksat_error.tif
    Uncertainty assessment for the modified K_ksat factor (90% Prediction Interval), calculated using quantiles 0.05 and 0.95 via R package ranger (Wright and Ziegler 2015).
  5. K_factor_soiltexture_Wischmeier_error.tif
    Uncertainty assessment for the standard K Wischmeier factor (90% PI), calculated with same methodology.

Technical Specifications

  • Coverage: Global (-180°, -62° : 180°, 87.3°)
  • Resolution: 1km pixel size
  • CRS: EPSG:4326 (WGS 84)

Data Source

European Soil Data Centre (ESDAC):
https://esdac.jrc.ec.europa.eu/

Download Access

Baidu Cloud:

Visualization in QGIS

Simply drag the TIFF files into QGIS:

Default grayscale rendering

Apply pseudocolor rendering for enhanced visualization:

Single-band pseudocolor representation

Additional Notes

Contributions of complementary soil science datasets are welcomed. For discussion opportunities, join our WeChat group via official account "Malagis" by replying with "摸鱼".