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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Bibliographic Details
Main Authors: Hutter, Nils, Hendricks, Stefan, Jutila, Arttu, Ricker, Robert, von Albedyll, Luisa, Birnbaum, Gerit, Haas, Christian
Format: Dataset
Language:unknown
Published: Zenodo 2021
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.5121824
https://zenodo.org/record/5121824
id ftdatacite:10.5281/zenodo.5121824
record_format openpolar
spelling 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)
institution Open Polar
collection 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
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