High Resolution 30m Land Surface Parameters for Europe
<p><strong>General Description</strong></p> <p>The <em>High Resolution 30m Land Surface Parameters for Europe</em> dataset is derived from <a href="../records/7676373">Global Ensemble DTM</a>. 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 are computed in tiles. In order to eliminate boundary effects and reprojection resampling, Below is the list of land-surface parameters. Hillshade and Slope in degree are available to download through this resporitory, others are available to access from public S3 server. All files are in COG.</p> <p><strong>slope in degree (slope): </strong>steepness at each cell</p> <ul> <li>S3 path: <a href="https://s3.eu-central-1.wasabisys.com/openlandmap/dtm/dtm.bareearth_ensemble_p10_30m_s_2018_go_epsg4326_v20230221.tif" target="_blank" rel="noopener ugc nofollow">https://s3.eu-central-1.wasabisys.com/arco/slope_edtm_m_30m_s_20000101_20221231_eu_epsg.3035_v20240528.tif</a></li> </ul> <p><strong>hillshade:</strong> visualizing of terrain determined by a light source and the slope and aspect of the elevation surface</p> <ul> <li>S3 path: <a href="https://s3.eu-central-1.wasabisys.com/arco/hillshade_edtm_m_30m_s_20000101_20221231_eu_epsg.3035_v20240528.tif">https://s3.eu-central-1.wasabisys.com/arco/hillshade_edtm_m_30m_s_20000101_20221231_eu_epsg.3035_v20240528.tif</a></li> </ul> <p><strong>minimum curvature (minic): </strong>valleys in negative value and local convex landform in positive value</p> <ul> <li>S3 path: <a href="https://s3.eu-central-1.wasabisys.com/arco/hillshade_edtm_m_30m_s_20000101_20221231_eu_epsg.3035_v20240528.tif">https://s3.eu-central-1.wasabisys.com/arco/minic_edtm_m_30m_s_20000101_20221231_eu_epsg.3035_v20240528.tif</a></li> </ul> <p><strong>maximum curvature (maxic):</strong> ridges in positive values and local concave landform in negative value</p> <ul> <li>S3 path: <a href="https://s3.eu-central-1.wasabisys.com/arco/hillshade_edtm_m_30m_s_20000101_20221231_eu_epsg.3035_v20240528.tif">https://s3.eu-central-1.wasabisys.com/arco/maxic_edtm_m_30m_s_20000101_20221231_eu_epsg.3035_v20240528.tif</a></li> </ul> <p><strong>positive openness (pos.openness): </strong>the "dominance" of an elevated location over its surroundings</p> <ul> <li>S3 path: <a href="https://s3.eu-central-1.wasabisys.com/arco/hillshade_edtm_m_30m_s_20000101_20221231_eu_epsg.3035_v20240528.tif">https://s3.eu-central-1.wasabisys.com/arco/pos.openness_edtm_m_30m_s_20000101_20221231_eu_epsg.3035_v20240528.tif</a></li> </ul> <p><strong>negative openness (neg.openness):</strong> the "enclosure" of a lower location by elevated surroundings</p> <ul> <li>S3 path: <a href="https://s3.eu-central-1.wasabisys.com/arco/hillshade_edtm_m_30m_s_20000101_20221231_eu_epsg.3035_v20240528.tif">https://s3.eu-central-1.wasabisys.com/arco/neg</a><a href="https://s3.eu-central-1.wasabisys.com/arco/hillshade_edtm_m_30m_s_20000101_20221231_eu_epsg.3035_v20240528.tif">.openness</a><a href="https://s3.eu-central-1.wasabisys.com/arco/hillshade_edtm_m_30m_s_20000101_20221231_eu_epsg.3035_v20240528.tif">_edtm_m_30m_s_20000101_20221231_eu_epsg.3035_v20240528.tif</a></li> </ul> <p><strong>Data Details</strong></p> <ul> <li><strong>Time period:</strong> January 2000 – December 2022</li> <li><strong>Type of data:</strong> Land surface parameters of geomorphometry</li> <li><strong>How the data was collected or derived:</strong> Derived from <a href="../records/7676373">Global Ensemble DTM</a> in 30m using GRASS GIS and SAGA GIS running in a local HPC.</li> <li><strong>Coordinate reference system:</strong> EPSG:3035</li> <li><strong>Bounding box (Xmin, Ymin, Xmax, Ymax):</strong> (900000 899000 7401000 5501000)</li> <li><strong>Spatial resolution:</strong> 30m</li> <li><strong>Image size:</strong> 216700, 153400</li> <li><strong>File format:</strong> Cloud Optimized Geotiff (COG) format.</li> </ul> <p><strong>Support</strong></p> <p>If you discover a bug, artifact, or inconsistency, or if you have a question please raise a GitHub issue: <a href="https://github.com/AI4SoilHealth/SoilHealthDataCube/issues">https://github.com/AI4SoilHealth/SoilHealthDataCube/issues</a></p> <p><strong>Name convention</strong></p> <p>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:</p> <ol> <li><strong>generic variable name:</strong> slope = slope in degree</li> <li><strong>variable procedure combination:</strong> edtm = Ensemble digital terrain model</li> <li><strong>Position in the probability distribution / variable type:</strong> m = measurement</li> <li><strong>Spatial support:</strong> 30m</li> <li><strong>Depth reference:</strong> s = surface</li> <li><strong>Time reference begin time:</strong> 20000101 = 2000-01-01</li> <li><strong>Time reference end time:</strong> 20221231 = 2022-12-31</li> <li><strong>Bounding box:</strong> eu = Europe</li> <li><strong>EPSG code:</strong> epsg.3035 = EPSG:3035</li> <li><strong>Version code:</strong> v20240528 = 2024-05-28 (creation date)</li> </ol> <p> </p>
ShareScore
44/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 8
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 4
Dataset details
- Repository
- zenodo
- Published
- July 12, 2024
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.12608804
Scored with release 0.9.0
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