Ensemble Digital Terrain Model (EDTM) of the world
Layers include: Ensemble Digital Terrain Model (EDTM) in 250-m resolution. Unit is in metre(m) and precision is in decimetre (dm). Maps are downscaled from 30-m resolution to 250-m in order to fit the size limit. We provide 30-m EDTM and its standard deviation as links: 30-m EDTM https://s3.eu-centr...
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ftzenodo:oai:zenodo.org:7634679 2023-05-15T13:55:30+02:00 Ensemble Digital Terrain Model (EDTM) of the world Yu Feng HO Tomislav Hengl Leandro Parente 2023-02-13 https://zenodo.org/record/7634679 https://doi.org/10.5281/zenodo.7634679 unknown info:eu-repo/grantAgreement/EC/HE/101059548/ doi:10.5281/zenodo.7634678 https://zenodo.org/record/7634679 https://doi.org/10.5281/zenodo.7634679 oai:zenodo.org:7634679 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode dtm 30-m ensemble info:eu-repo/semantics/other dataset 2023 ftzenodo https://doi.org/10.5281/zenodo.763467910.5281/zenodo.7634678 2023-03-11T04:20:43Z Layers include: Ensemble Digital Terrain Model (EDTM) in 250-m resolution. Unit is in metre(m) and precision is in decimetre (dm). Maps are downscaled from 30-m resolution to 250-m in order to fit the size limit. We provide 30-m EDTM and its standard deviation as links: 30-m EDTM https://s3.eu-central-1.wasabisys.com/openlandmap/dtm/dtm.bareearth_ensemble_p10_30m_s_2018_go_epsg4326_v20230210.tif Standard deviation https://s3.eu-central-1.wasabisys.com/openlandmap/dtm/dtm.bareearth_ensemble_std_30m_s_2018_go_epsg4326_v20230210.tif Derived using ALOS AW3D, GLO-30, MERITDEM, and national DTMs. We derived a lower 10% quantile from all maps. In order to create bare earth data, we used canopy height (canopy height > 2m) and standard deviation (sd > 6m) to mask building and forest in AW3D and GLO-30. Practical processing is written here in Python. To access and visualize maps use: OpenLandMap.org If you discover a bug, artifact or inconsistency, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/-/issues General questions and comments: https://disqus.com/home/forums/landgis/ All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL in Cloud Optimised GeoTiff (COG). File naming convention: dtm.bareearth = variable: digital terrain model (m), bare earth ensemble = determination method: ensemble of mutli-source dsm and dtm p10/std = aggregation/statistics method: 10th percentile / standard deviation 250m = spatial resolution / block support: 250 m, s = vertical reference: at surface, go = bounding box: global land without Antarctica epsg.4326 = ESPG code: epsg.4326 v20230210 = version code: creation date 20230210 Dataset Antarc* Antarctica Zenodo |
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dtm 30-m ensemble |
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dtm 30-m ensemble Yu Feng HO Tomislav Hengl Leandro Parente Ensemble Digital Terrain Model (EDTM) of the world |
topic_facet |
dtm 30-m ensemble |
description |
Layers include: Ensemble Digital Terrain Model (EDTM) in 250-m resolution. Unit is in metre(m) and precision is in decimetre (dm). Maps are downscaled from 30-m resolution to 250-m in order to fit the size limit. We provide 30-m EDTM and its standard deviation as links: 30-m EDTM https://s3.eu-central-1.wasabisys.com/openlandmap/dtm/dtm.bareearth_ensemble_p10_30m_s_2018_go_epsg4326_v20230210.tif Standard deviation https://s3.eu-central-1.wasabisys.com/openlandmap/dtm/dtm.bareearth_ensemble_std_30m_s_2018_go_epsg4326_v20230210.tif Derived using ALOS AW3D, GLO-30, MERITDEM, and national DTMs. We derived a lower 10% quantile from all maps. In order to create bare earth data, we used canopy height (canopy height > 2m) and standard deviation (sd > 6m) to mask building and forest in AW3D and GLO-30. Practical processing is written here in Python. To access and visualize maps use: OpenLandMap.org If you discover a bug, artifact or inconsistency, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/-/issues General questions and comments: https://disqus.com/home/forums/landgis/ All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL in Cloud Optimised GeoTiff (COG). File naming convention: dtm.bareearth = variable: digital terrain model (m), bare earth ensemble = determination method: ensemble of mutli-source dsm and dtm p10/std = aggregation/statistics method: 10th percentile / standard deviation 250m = spatial resolution / block support: 250 m, s = vertical reference: at surface, go = bounding box: global land without Antarctica epsg.4326 = ESPG code: epsg.4326 v20230210 = version code: creation date 20230210 |
format |
Dataset |
author |
Yu Feng HO Tomislav Hengl Leandro Parente |
author_facet |
Yu Feng HO Tomislav Hengl Leandro Parente |
author_sort |
Yu Feng HO |
title |
Ensemble Digital Terrain Model (EDTM) of the world |
title_short |
Ensemble Digital Terrain Model (EDTM) of the world |
title_full |
Ensemble Digital Terrain Model (EDTM) of the world |
title_fullStr |
Ensemble Digital Terrain Model (EDTM) of the world |
title_full_unstemmed |
Ensemble Digital Terrain Model (EDTM) of the world |
title_sort |
ensemble digital terrain model (edtm) of the world |
publishDate |
2023 |
url |
https://zenodo.org/record/7634679 https://doi.org/10.5281/zenodo.7634679 |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_relation |
info:eu-repo/grantAgreement/EC/HE/101059548/ doi:10.5281/zenodo.7634678 https://zenodo.org/record/7634679 https://doi.org/10.5281/zenodo.7634679 oai:zenodo.org:7634679 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.763467910.5281/zenodo.7634678 |
_version_ |
1766262160137125888 |