Mapping of the calving front of Bowdoin Glacier, Northwest Greenland, by UAV photogrammetry (2017) ...
These data contain photogrammetrical data collected by unmanned aerial vehicle (UAV) in July 2017 at Bowdoin Glacier, Northwest Greenland. The calving front of the glacier was surveyed by the means of a UAVs (Sensefly Ebee and Wingtra) several times during the two-week long field campaign. The data...
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Online Access: | https://dx.doi.org/10.3929/ethz-b-000455215 http://hdl.handle.net/20.500.11850/455215 |
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ftdatacite:10.3929/ethz-b-000455215 2024-09-15T18:07:37+00:00 Mapping of the calving front of Bowdoin Glacier, Northwest Greenland, by UAV photogrammetry (2017) ... van Dongen, Eef Funk, Martin Walter, Andrea Kneib, Marin 2020 application/zip text/plain application/pdf image/jpeg image/tiff application/octet-stream 39.16 MB https://dx.doi.org/10.3929/ethz-b-000455215 http://hdl.handle.net/20.500.11850/455215 en eng ETH Zurich info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 article Collection Research Data 2020 ftdatacite https://doi.org/10.3929/ethz-b-000455215 2024-08-01T10:43:29Z These data contain photogrammetrical data collected by unmanned aerial vehicle (UAV) in July 2017 at Bowdoin Glacier, Northwest Greenland. The calving front of the glacier was surveyed by the means of a UAVs (Sensefly Ebee and Wingtra) several times during the two-week long field campaign. The data include raw data consisting of a folder of aerial images together with geo-locations of camera locations (either in the exif of image file, or separatly in a ascii file). The data also include processed data (orthoimage and digital elevation models) with the Structure-fom-Motion photogrammetrical software Agisoft Photoscan. ... : UAV photogrammetry ... Article in Journal/Newspaper glacier Greenland DataCite |
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Open Polar |
collection |
DataCite |
op_collection_id |
ftdatacite |
language |
English |
description |
These data contain photogrammetrical data collected by unmanned aerial vehicle (UAV) in July 2017 at Bowdoin Glacier, Northwest Greenland. The calving front of the glacier was surveyed by the means of a UAVs (Sensefly Ebee and Wingtra) several times during the two-week long field campaign. The data include raw data consisting of a folder of aerial images together with geo-locations of camera locations (either in the exif of image file, or separatly in a ascii file). The data also include processed data (orthoimage and digital elevation models) with the Structure-fom-Motion photogrammetrical software Agisoft Photoscan. ... : UAV photogrammetry ... |
format |
Article in Journal/Newspaper |
author |
van Dongen, Eef Funk, Martin Walter, Andrea Kneib, Marin |
spellingShingle |
van Dongen, Eef Funk, Martin Walter, Andrea Kneib, Marin Mapping of the calving front of Bowdoin Glacier, Northwest Greenland, by UAV photogrammetry (2017) ... |
author_facet |
van Dongen, Eef Funk, Martin Walter, Andrea Kneib, Marin |
author_sort |
van Dongen, Eef |
title |
Mapping of the calving front of Bowdoin Glacier, Northwest Greenland, by UAV photogrammetry (2017) ... |
title_short |
Mapping of the calving front of Bowdoin Glacier, Northwest Greenland, by UAV photogrammetry (2017) ... |
title_full |
Mapping of the calving front of Bowdoin Glacier, Northwest Greenland, by UAV photogrammetry (2017) ... |
title_fullStr |
Mapping of the calving front of Bowdoin Glacier, Northwest Greenland, by UAV photogrammetry (2017) ... |
title_full_unstemmed |
Mapping of the calving front of Bowdoin Glacier, Northwest Greenland, by UAV photogrammetry (2017) ... |
title_sort |
mapping of the calving front of bowdoin glacier, northwest greenland, by uav photogrammetry (2017) ... |
publisher |
ETH Zurich |
publishDate |
2020 |
url |
https://dx.doi.org/10.3929/ethz-b-000455215 http://hdl.handle.net/20.500.11850/455215 |
genre |
glacier Greenland |
genre_facet |
glacier Greenland |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.3929/ethz-b-000455215 |
_version_ |
1810445005480787968 |