Global DEM derivatives at 250 m, 1 km and 2 km based on the MERIT DEM ...

Layers include: various DEM derivatives computed using SAGA GIS at 250 m and using MERIT DEM (Yamazaki et al., 2017) as input. Antartica is not included. MERIT DEM was first reprojected to 6 global tiles based on the Equi7 grid system (Bauer-Marschallinger et al. 2014) and then these were used to de...

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Main Author: Hengl, Tomislav
Format: Dataset
Language:English
Published: Zenodo 2018
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.1447210
https://zenodo.org/record/1447210
id ftdatacite:10.5281/zenodo.1447210
record_format openpolar
spelling ftdatacite:10.5281/zenodo.1447210 2023-11-05T03:37:12+01:00 Global DEM derivatives at 250 m, 1 km and 2 km based on the MERIT DEM ... Hengl, Tomislav 2018 https://dx.doi.org/10.5281/zenodo.1447210 https://zenodo.org/record/1447210 en eng Zenodo https://dx.doi.org/10.5281/zenodo.1447209 Open Access Creative Commons Attribution Share Alike 4.0 International https://creativecommons.org/licenses/by-sa/4.0/legalcode cc-by-sa-4.0 info:eu-repo/semantics/openAccess LandGIS Digital elevation model geomorphometry relief Dataset dataset 2018 ftdatacite https://doi.org/10.5281/zenodo.144721010.5281/zenodo.1447209 2023-10-09T10:56:12Z Layers include: various DEM derivatives computed using SAGA GIS at 250 m and using MERIT DEM (Yamazaki et al., 2017) as input. Antartica is not included. MERIT DEM was first reprojected to 6 global tiles based on the Equi7 grid system (Bauer-Marschallinger et al. 2014) and then these were used to derive all DEM derivatives. To access original DEM tiles please refer to MERIT DEM download page. To access and visualize maps use: OpenLandMap.org If you discover a bug, artifact or inconsistency in the maps, 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. File naming convention: dtm = theme: digital terrain models, twi = variable: SAGA GIS Topographic Wetness Index, merit.dem = determination method: MERIT DEM, m = mean value, 1km = spatial ... : {"references": ["Yamazaki, D., Ikeshima, D., Tawatari, R., Yamaguchi, T., O'Loughlin, F., Neal, J. C., ... & Bates, P. D. (2017). A high\u2010accuracy map of global terrain elevations. Geophysical Research Letters, 44(11), 5844-5853.", "Bauer-Marschallinger, B., Sabel, D., & Wagner, W. (2014). Optimisation of global grids for high-resolution remote sensing data. Computers & Geosciences, 72, 84-93."]} ... Dataset antartic* DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic LandGIS
Digital elevation model
geomorphometry
relief
spellingShingle LandGIS
Digital elevation model
geomorphometry
relief
Hengl, Tomislav
Global DEM derivatives at 250 m, 1 km and 2 km based on the MERIT DEM ...
topic_facet LandGIS
Digital elevation model
geomorphometry
relief
description Layers include: various DEM derivatives computed using SAGA GIS at 250 m and using MERIT DEM (Yamazaki et al., 2017) as input. Antartica is not included. MERIT DEM was first reprojected to 6 global tiles based on the Equi7 grid system (Bauer-Marschallinger et al. 2014) and then these were used to derive all DEM derivatives. To access original DEM tiles please refer to MERIT DEM download page. To access and visualize maps use: OpenLandMap.org If you discover a bug, artifact or inconsistency in the maps, 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. File naming convention: dtm = theme: digital terrain models, twi = variable: SAGA GIS Topographic Wetness Index, merit.dem = determination method: MERIT DEM, m = mean value, 1km = spatial ... : {"references": ["Yamazaki, D., Ikeshima, D., Tawatari, R., Yamaguchi, T., O'Loughlin, F., Neal, J. C., ... & Bates, P. D. (2017). A high\u2010accuracy map of global terrain elevations. Geophysical Research Letters, 44(11), 5844-5853.", "Bauer-Marschallinger, B., Sabel, D., & Wagner, W. (2014). Optimisation of global grids for high-resolution remote sensing data. Computers & Geosciences, 72, 84-93."]} ...
format Dataset
author Hengl, Tomislav
author_facet Hengl, Tomislav
author_sort Hengl, Tomislav
title Global DEM derivatives at 250 m, 1 km and 2 km based on the MERIT DEM ...
title_short Global DEM derivatives at 250 m, 1 km and 2 km based on the MERIT DEM ...
title_full Global DEM derivatives at 250 m, 1 km and 2 km based on the MERIT DEM ...
title_fullStr Global DEM derivatives at 250 m, 1 km and 2 km based on the MERIT DEM ...
title_full_unstemmed Global DEM derivatives at 250 m, 1 km and 2 km based on the MERIT DEM ...
title_sort global dem derivatives at 250 m, 1 km and 2 km based on the merit dem ...
publisher Zenodo
publishDate 2018
url https://dx.doi.org/10.5281/zenodo.1447210
https://zenodo.org/record/1447210
genre antartic*
genre_facet antartic*
op_relation https://dx.doi.org/10.5281/zenodo.1447209
op_rights Open Access
Creative Commons Attribution Share Alike 4.0 International
https://creativecommons.org/licenses/by-sa/4.0/legalcode
cc-by-sa-4.0
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5281/zenodo.144721010.5281/zenodo.1447209
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