Multiscale Land Surface Parameters of GEDTM30: Geomorphons

Geomorphons

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 Geomorphons 120m

Global Geomorphons 240m

Global Geomorphons 480m

Global Geomorphons 960m

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

Global Geomorphons 30m

Global Geomorphons 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:

generic variable name: twi = topographic wetness index

variable procedure combination: edtm = derivative direct from global ensemble digital terrain model

Position in the probability distribution/variable type: m = measurement

Spatial support: 120m

Depth reference: s = surface

Time reference begin time: 20000101 = 2000-01-01

Time reference end time: 20211231 = 2021-12-31

Bounding box: go = global

EPSG code: EPSG:4326

Version code: v20241230 = version from 2024-12-30