Slope in Degree

This data is part of the Global Ensemble Digital Terrain Model (GEDTM30) dataset. Check the related identifiers section below to access other parts of the dataset.

Disclaimer

This is the first release of the Multiscale Land Surface Parameters (LSPs) of Global Ensemble Digital Terrain Model (GEDTM30). Use for testing purposes only. This work was funded by the European Union. However, the views and opinions expressed are solely those of the author(s) and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the granting authority can be held responsible for them. The data is provided "as is." The Open-Earth-Monitor project consortium, along with its suppliers and licensors, hereby disclaims all warranties of any kind, express or implied, including, without limitation, warranties of merchantability, fitness for a particular purpose, and non-infringement. Neither the Open-Earth-Monitor project consortium nor its suppliers and licensors make any warranty that the website will be error-free or that access to it will be continuous or uninterrupted. You understand that you download or otherwise obtain content or services from the website at your own discretion and risk.

Description

LSPs are derivative products of the GEDTM30 that represent measures of local topographic position, curvature, hydrology, light, and shadow. A pyramid representation is implemented to generate multiscale resolutions of 30m, 60m, 120m, 240m, 480m, and 960m for each LSP. The parametrization is powered by Whitebox Workflows in Python. To see the documentation, please visit our GEDTM30 GitHub (https://github.com/openlandmap/GEDTM30).

Dataset Contents

This dataset includes:

• Global Slope in Degree 120m
  
• Global Slope in Degree 240m
  
• Global Slope in Degree 480m
  
• Global Slope in Degree 960m
  

Due to Zenodo's storage limitations, the high resolution LSP data are provided via external links:

• Global Slope in Degree 30m
  
• Global Slope in Degree 60m
  

Related Identifiers

• Digital Terrain Model:
  GEDTM30
• Landform:
  Slope in Degree, Geomorphons
• Light and Shadow:
  Positive Openness, Negative Openness, Hillshade
• Curvature:
  Minimal Curvature, Maximal Curvature, Profile Curvature, Tangential Curvature, Ring Curvature, Shape Index
• Local Topographic Position:
  Difference from Mean Elevation, Spherical Standard Deviation of the Normals
• Hydrology:
  Specific Catchment Area, LS Factor, Topographic Wetness Index

Data Details

• Time period: static.
• Type of data: properties derived from Digital Terrain Model
• How the data was collected or derived: The data was derived using Whitbox Workflows.
• Methods used: LSP algorithms.
• Limitations or exclusions in the data: The dataset does not include data Antarctica.
• Coordinate reference system: EPSG:4326
• Bounding box (Xmin, Ymin, Xmax, Ymax): (-180, -65, 180, 85)
• Spatial resolution: 120m, 240m, 480m, 960m
• Image size: 360,000P x 178,219L; 180,000P x 89,110L; 45,000L x 22,282L
• File format: Cloud Optimized Geotiff (COG) format.
• Additional information:
  



Layer	Scale	Data Type	No Data
Difference from Mean Elevation	100	Int16	32,767
Geomorphons	1	Byte	255
Hillshade	1	UInt16	65,535
LS Factor	1,000	UInt16	65,535
Maximal Curvature	1,000	Int16	32,767
Minimal Curvature	1,000	Int16	32,767
Negative Openness	100	UInt16	65,535
Positive Openness	100	UInt16	65,535
Profile Curvature	1,000	Int16	32,767
Ring Curvature	10,000	Int16	32,767
Shape Index	1,000	Int16	32,767
Slope in Degree	100	UInt16	65,535
Specific Catchment Area	1,000	UInt16	65,535
Spherical Standard Deviation of the Normals	100	Int16	32,767
Tangential Curvature	1,000	Int16	32,767
Topographic Wetness Index	100	Int16	32,767

Support

If you discover a bug, artifact, or inconsistency, or if you have a question please raise a GitHub issue here

Naming convention

To ensure consistency and ease of use across and within the projects, we follow the standard Ai4SoilHealth and Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describe important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files.

For example, for twi_edtm_m_120m_s_20000101_20221231_go_epsg.4326_v20241230.tif, the fields are:

1. generic variable name: twi = topographic wetness index
2. variable procedure combination: edtm = derivative direct from global ensemble digital terrain model
3. Position in the probability distribution/variable type: m = measurement
4. Spatial support: 120m
5. Depth reference: s = surface
6. Time reference begin time: 20000101 = 2000-01-01
7. Time reference end time: 20211231 = 2021-12-31
8. Bounding box: go = global
9. EPSG code: EPSG:4326
10. Version code: v20241230 = version from 2024-12-30