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-centra...
Main Authors: | , , |
---|---|
Format: | Other/Unknown Material |
Language: | unknown |
Published: |
Zenodo
2023
|
Subjects: | |
Online Access: | https://doi.org/10.5281/zenodo.7676373 |
id |
ftzenodo:oai:zenodo.org:7676373 |
---|---|
record_format |
openpolar |
spelling |
ftzenodo:oai:zenodo.org:7676373 2024-09-15T17:41:45+00:00 Ensemble Digital Terrain Model (EDTM) of the world Yu Feng HO Tomislav Hengl Leandro Parente 2023-02-25 https://doi.org/10.5281/zenodo.7676373 unknown Zenodo https://zenodo.org/communities/eu https://doi.org/10.5281/zenodo.7634678 https://doi.org/10.5281/zenodo.7676373 oai:zenodo.org:7676373 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode dtm 30-m ensemble info:eu-repo/semantics/other 2023 ftzenodo https://doi.org/10.5281/zenodo.767637310.5281/zenodo.7634678 2024-07-26T14:50:42Z 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_v20230221.tif Standard deviation https://s3.eu-central-1.wasabisys.com/openlandmap/dtm/dtm.bareearth_ensemble_std_30m_s_2018_go_epsg4326_v20230221.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 inAW3D andGLO-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" creationoption 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: 250m, s = vertical reference: at surface, go = bounding box:global land without Antarctica epsg.4326 = ESPG code:epsg.4326 v20230221= version code: creation date20230221 Other/Unknown Material Antarc* Antarctica Zenodo |
institution |
Open Polar |
collection |
Zenodo |
op_collection_id |
ftzenodo |
language |
unknown |
topic |
dtm 30-m ensemble |
spellingShingle |
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_v20230221.tif Standard deviation https://s3.eu-central-1.wasabisys.com/openlandmap/dtm/dtm.bareearth_ensemble_std_30m_s_2018_go_epsg4326_v20230221.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 inAW3D andGLO-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" creationoption 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: 250m, s = vertical reference: at surface, go = bounding box:global land without Antarctica epsg.4326 = ESPG code:epsg.4326 v20230221= version code: creation date20230221 |
format |
Other/Unknown Material |
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 |
publisher |
Zenodo |
publishDate |
2023 |
url |
https://doi.org/10.5281/zenodo.7676373 |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_relation |
https://zenodo.org/communities/eu https://doi.org/10.5281/zenodo.7634678 https://doi.org/10.5281/zenodo.7676373 oai:zenodo.org:7676373 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.767637310.5281/zenodo.7634678 |
_version_ |
1810488001977909248 |