Published July 13, 2024 | Version v20240528
Dataset Open

Multiscale Land Surface Parameters for Europe

Description

General Description

The Multiscale Land Surface Parameters for Europe  dataset is derived from Global Ensemble DTM. Data is computed using GRASS GIS and SAGA GIS. Original DTM data is in projection EPSG:4326, and reprojects to Equi7 (EPSG:27704), computes the parameters, and eventually reprojects to EPSG:3035. High resolution layers (120m downward in geo-hydrological parameters and 60m downward in others) are computed in tiles. In order to eliminate boundary effects and reprojection resampling, Regional land surface parameters have 3400 pixels overlap and local land surface 100 pixels overlap. Below is the list of land-surface parameters.

  • Local land-surface parameter

slope in degree (slope): steepness at each cell

hillshade: visualizing of terrain determined by a light source and the slope and aspect of the elevation surface

easterness: cosine of aspect

northerness: sine of aspect

minimum curvature (minic): valleys in negative value and local convex landform in positive value

maximum curvature (maxic): ridges in positive values and local concave landform in negative value

positive openness (pos.openness):  the "dominance" of an elevated location over its surroundings

negative openness (neg.openness): the "enclosure" of a lower location by elevated surroundings

  • Regional land-surface parameter

sink removal DTM (nosink)

flow accumulation (flow.accum): depiction of  the flow convergence upslope pixels to downslope pixels

geomorphon classes (geomorphon): 9 terrain forms based on the line-of-sight neighbor pixels

specific catchment area (spec.catch.area.factor): the total catchment area divided by flow width

topographic wetness index (twi): a parameter describing the tendency of a cell to accumulate water

slope length and steepness factor (ls.factor):  the S-factor measures the effect of slope steepness, and the L-factor defines the impact of slope length.

Data Details

  • Time period: January 2000 – December 2022
  • Type of data: Land surface parameters of geomorphometry
  • How the data was collected or derived: Derived from Global Ensemble DTM in 30m using GRASS GIS and SAGA GIS running in a local HPC.
  • Coordinate reference system: EPSG:3035
  • Bounding box (Xmin, Ymin, Xmax, Ymax): (900000 899000 7401000 5501000)
  • Spatial resolution: 60m, 120m, 240m, 480m, 960m
  • Image size: 108,350 x 76,700; 54,175 x 38,350; 54,175 x 38,350; 13,544 x 9,588; 6,772 x 4,794
  • File format: Cloud Optimized Geotiff (COG) format.

Support

If you discover a bug, artifact, or inconsistency, or if you have a question please raise a GitHub issue: https://github.com/AI4SoilHealth/SoilHealthDataCube/issues

Name convention

To ensure consistency and ease of use across and within the projects, we follow the standard Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describes important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files. The fields are:

  1. generic variable name: slope = slope in degree
  2. variable procedure combination: edtm = Ensemble digital terrain model
  3. Position in the probability distribution / variable type: m = measurement
  4. Spatial support: 60m, 120m, 240m, 480m, 960m
  5. Depth reference: s = surface
  6. Time reference begin time: 20000101 = 2000-01-01
  7. Time reference end time: 20221231 = 2022-12-31
  8. Bounding box: eu = Europe
  9. EPSG code: epsg.3035 = EPSG:3035
  10. Version code: v20240528 = 2024-05-28 (creation date)

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Additional details

Funding

OEMC – Open-Earth-Monitor Cyberinfrastructure 101059548
European Commission
AI4SoilHealth – AI4SoilHealth: Accelerating collection and use of soil health information using AI technology to support the Soil Deal for Europe and EU Soil Observatory 101086179
European Commission

Dates

Created
2024-05-28

References

  • GRASS Development Team (2023). Geographic Resources Analysis Support System (GRASS GIS) Software, Version 8.3. Open Source Geospatial Foundation, USA.
  • Conrad, O., Bechtel, B., Bock, M., Dietrich, H., Fischer, E., Gerlitz, L., Wehberg, J., Wichmann, V., and Böhner, J. (2015): System for Automated Geoscientific Analyses (SAGA) v. 2.1.4, Geosci. Model Dev., 8, 1991-2007, doi:10.5194/gmd-8-1991-2015