Gridded airborne laserscanner (ALS) elevation data (L4) for three flights during MOSAiC (prerelease) ...
An integrated sensor platform including an inertial navigation system (INS) and a commercial (Riegl VQ580) airborne laser scanner (ALS) among other sensor was mounted in the cargo compartment in one of the Polarstern helicopters (D-HARK) during MOSAiC. This sensor combinations allows for a precise m...
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Online Access: | https://dx.doi.org/10.5281/zenodo.5121824 https://zenodo.org/record/5121824 |
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ftdatacite:10.5281/zenodo.5121824 2023-12-31T10:04:00+01:00 Gridded airborne laserscanner (ALS) elevation data (L4) for three flights during MOSAiC (prerelease) ... Hutter, Nils Hendricks, Stefan Jutila, Arttu Ricker, Robert von Albedyll, Luisa Birnbaum, Gerit Haas, Christian 2021 https://dx.doi.org/10.5281/zenodo.5121824 https://zenodo.org/record/5121824 unknown Zenodo https://dx.doi.org/10.5281/zenodo.5121823 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess sea ice airborne laser scanner altimetry surface elevation MOSAiC Dataset dataset 2021 ftdatacite https://doi.org/10.5281/zenodo.512182410.5281/zenodo.5121823 2023-12-01T10:28:58Z An integrated sensor platform including an inertial navigation system (INS) and a commercial (Riegl VQ580) airborne laser scanner (ALS) among other sensor was mounted in the cargo compartment in one of the Polarstern helicopters (D-HARK) during MOSAiC. This sensor combinations allows for a precise mapping of the snow and sea-ice surface around Polarstern at submeter-scale resolution. Information from the ALS data includes the elevation of the snow or ice surface and surface reflectivity at the near-infrared wavelength. From the more than 60 flights acquired between October 2019 and September 2020 we prerelease with this gridded data-set three flights for quality-control and test purposes by potential end users. The geographical coordinates of the data have been corrected for the drift of the sea-ice cover during each survey flight and the elevation bias has been corrected based on overlapping flight transects. Flight dates (Device Operation): Oct. 2, 2019 (PS122/1_2-57) Apr 8, 2020 (PS122/3_35-49) July 22, ... : ALS and INS data was collected as part of the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) with the tag MOSAiC20192020 and the Project_ID: AWI_PS122_00. Data processing and analysis is funded by the BMBF IceSense (03F0866A) project. ... Dataset Arctic Sea ice DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
sea ice airborne laser scanner altimetry surface elevation MOSAiC |
spellingShingle |
sea ice airborne laser scanner altimetry surface elevation MOSAiC Hutter, Nils Hendricks, Stefan Jutila, Arttu Ricker, Robert von Albedyll, Luisa Birnbaum, Gerit Haas, Christian Gridded airborne laserscanner (ALS) elevation data (L4) for three flights during MOSAiC (prerelease) ... |
topic_facet |
sea ice airborne laser scanner altimetry surface elevation MOSAiC |
description |
An integrated sensor platform including an inertial navigation system (INS) and a commercial (Riegl VQ580) airborne laser scanner (ALS) among other sensor was mounted in the cargo compartment in one of the Polarstern helicopters (D-HARK) during MOSAiC. This sensor combinations allows for a precise mapping of the snow and sea-ice surface around Polarstern at submeter-scale resolution. Information from the ALS data includes the elevation of the snow or ice surface and surface reflectivity at the near-infrared wavelength. From the more than 60 flights acquired between October 2019 and September 2020 we prerelease with this gridded data-set three flights for quality-control and test purposes by potential end users. The geographical coordinates of the data have been corrected for the drift of the sea-ice cover during each survey flight and the elevation bias has been corrected based on overlapping flight transects. Flight dates (Device Operation): Oct. 2, 2019 (PS122/1_2-57) Apr 8, 2020 (PS122/3_35-49) July 22, ... : ALS and INS data was collected as part of the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) with the tag MOSAiC20192020 and the Project_ID: AWI_PS122_00. Data processing and analysis is funded by the BMBF IceSense (03F0866A) project. ... |
format |
Dataset |
author |
Hutter, Nils Hendricks, Stefan Jutila, Arttu Ricker, Robert von Albedyll, Luisa Birnbaum, Gerit Haas, Christian |
author_facet |
Hutter, Nils Hendricks, Stefan Jutila, Arttu Ricker, Robert von Albedyll, Luisa Birnbaum, Gerit Haas, Christian |
author_sort |
Hutter, Nils |
title |
Gridded airborne laserscanner (ALS) elevation data (L4) for three flights during MOSAiC (prerelease) ... |
title_short |
Gridded airborne laserscanner (ALS) elevation data (L4) for three flights during MOSAiC (prerelease) ... |
title_full |
Gridded airborne laserscanner (ALS) elevation data (L4) for three flights during MOSAiC (prerelease) ... |
title_fullStr |
Gridded airborne laserscanner (ALS) elevation data (L4) for three flights during MOSAiC (prerelease) ... |
title_full_unstemmed |
Gridded airborne laserscanner (ALS) elevation data (L4) for three flights during MOSAiC (prerelease) ... |
title_sort |
gridded airborne laserscanner (als) elevation data (l4) for three flights during mosaic (prerelease) ... |
publisher |
Zenodo |
publishDate |
2021 |
url |
https://dx.doi.org/10.5281/zenodo.5121824 https://zenodo.org/record/5121824 |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_relation |
https://dx.doi.org/10.5281/zenodo.5121823 |
op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5281/zenodo.512182410.5281/zenodo.5121823 |
_version_ |
1786828379562967040 |