Geolocated sea-ice or snow surface elevation point cloud segments from helicopter-borne laser scanner during the MOSAiC expedition flight 20191206_01, version 1 ...
This data set provides high-resolution geolocated point clouds of sea-ice or snow surface elevation for mapping temporal and spatial evolution of sea-ice conditions such as freeboard, roughness, or the size and spatial distributions of surface features. The surface elevation data are referenced to t...
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Online Access: | https://dx.doi.org/10.1594/pangaea.950900 https://doi.pangaea.de/10.1594/PANGAEA.950900 |
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ftdatacite:10.1594/pangaea.950900 2024-04-28T08:08:16+00:00 Geolocated sea-ice or snow surface elevation point cloud segments from helicopter-borne laser scanner during the MOSAiC expedition flight 20191206_01, version 1 ... Jutila, Arttu Hendricks, Stefan Birnbaum, Gerit von Albedyll, Luisa Ricker, Robert Helm, Veit Hutter, Nils Haas, Christian 2023 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.950900 https://doi.pangaea.de/10.1594/PANGAEA.950900 en eng PANGAEA https://github.com/awi-als-toolbox/awi-als-toolbox https://dx.doi.org/10.1594/pangaea.950509 https://dx.doi.org/10.1594/pangaea.950339 https://dx.doi.org/10.1594/pangaea.950896 https://dx.doi.org/10.1038/s41597-023-02565-6 https://github.com/awi-als-toolbox/awi-als-toolbox https://dx.doi.org/10.1525/elementa.2021.000046 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Airborne laser scanning Arctic Helicopter MOSAiC20192020 MOSAIC-HELI Sea ice Surface Elevation Flight number DATE/TIME LATITUDE LONGITUDE Binary Object PS122/1 Polarstern Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties IceSense dataset Dataset 2023 ftdatacite https://doi.org/10.1594/pangaea.95090010.1594/pangaea.95050910.1594/pangaea.95033910.1594/pangaea.95089610.1038/s41597-023-02565-610.1525/elementa.2021.000046 2024-04-02T11:56:32Z This data set provides high-resolution geolocated point clouds of sea-ice or snow surface elevation for mapping temporal and spatial evolution of sea-ice conditions such as freeboard, roughness, or the size and spatial distributions of surface features. The surface elevation data are referenced to the DTU21 mean sea surface height and are not corrected for sea-ice drift during acquisition. The data were collected using a near-infrared, line-scanning Riegl VQ-580 airborne laser scanner (hdl:10013/sensor.7ebb63c3-dc3b-4f0f-9ca5-f1c6e5462a31 & hdl:10013/sensor.7a931b33-72ca-46d0-b623-156836ac9550) mounted in a helicopter along the MOSAiC drift from the north of the Laptev Sea, across the central Arctic Ocean, and towards the Fram Strait from September 2019 to October 2020. The flights are both small scale, ~5x5 km grid patterns mainly over the central observatory, and large scale, few tens of km away from RV Polarstern, triangle patterns, or transects. The point cloud data are stored in 5-min along-track ... Dataset Arctic Arctic Ocean Fram Strait laptev Laptev Sea 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 |
English |
topic |
Airborne laser scanning Arctic Helicopter MOSAiC20192020 MOSAIC-HELI Sea ice Surface Elevation Flight number DATE/TIME LATITUDE LONGITUDE Binary Object PS122/1 Polarstern Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties IceSense |
spellingShingle |
Airborne laser scanning Arctic Helicopter MOSAiC20192020 MOSAIC-HELI Sea ice Surface Elevation Flight number DATE/TIME LATITUDE LONGITUDE Binary Object PS122/1 Polarstern Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties IceSense Jutila, Arttu Hendricks, Stefan Birnbaum, Gerit von Albedyll, Luisa Ricker, Robert Helm, Veit Hutter, Nils Haas, Christian Geolocated sea-ice or snow surface elevation point cloud segments from helicopter-borne laser scanner during the MOSAiC expedition flight 20191206_01, version 1 ... |
topic_facet |
Airborne laser scanning Arctic Helicopter MOSAiC20192020 MOSAIC-HELI Sea ice Surface Elevation Flight number DATE/TIME LATITUDE LONGITUDE Binary Object PS122/1 Polarstern Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties IceSense |
description |
This data set provides high-resolution geolocated point clouds of sea-ice or snow surface elevation for mapping temporal and spatial evolution of sea-ice conditions such as freeboard, roughness, or the size and spatial distributions of surface features. The surface elevation data are referenced to the DTU21 mean sea surface height and are not corrected for sea-ice drift during acquisition. The data were collected using a near-infrared, line-scanning Riegl VQ-580 airborne laser scanner (hdl:10013/sensor.7ebb63c3-dc3b-4f0f-9ca5-f1c6e5462a31 & hdl:10013/sensor.7a931b33-72ca-46d0-b623-156836ac9550) mounted in a helicopter along the MOSAiC drift from the north of the Laptev Sea, across the central Arctic Ocean, and towards the Fram Strait from September 2019 to October 2020. The flights are both small scale, ~5x5 km grid patterns mainly over the central observatory, and large scale, few tens of km away from RV Polarstern, triangle patterns, or transects. The point cloud data are stored in 5-min along-track ... |
format |
Dataset |
author |
Jutila, Arttu Hendricks, Stefan Birnbaum, Gerit von Albedyll, Luisa Ricker, Robert Helm, Veit Hutter, Nils Haas, Christian |
author_facet |
Jutila, Arttu Hendricks, Stefan Birnbaum, Gerit von Albedyll, Luisa Ricker, Robert Helm, Veit Hutter, Nils Haas, Christian |
author_sort |
Jutila, Arttu |
title |
Geolocated sea-ice or snow surface elevation point cloud segments from helicopter-borne laser scanner during the MOSAiC expedition flight 20191206_01, version 1 ... |
title_short |
Geolocated sea-ice or snow surface elevation point cloud segments from helicopter-borne laser scanner during the MOSAiC expedition flight 20191206_01, version 1 ... |
title_full |
Geolocated sea-ice or snow surface elevation point cloud segments from helicopter-borne laser scanner during the MOSAiC expedition flight 20191206_01, version 1 ... |
title_fullStr |
Geolocated sea-ice or snow surface elevation point cloud segments from helicopter-borne laser scanner during the MOSAiC expedition flight 20191206_01, version 1 ... |
title_full_unstemmed |
Geolocated sea-ice or snow surface elevation point cloud segments from helicopter-borne laser scanner during the MOSAiC expedition flight 20191206_01, version 1 ... |
title_sort |
geolocated sea-ice or snow surface elevation point cloud segments from helicopter-borne laser scanner during the mosaic expedition flight 20191206_01, version 1 ... |
publisher |
PANGAEA |
publishDate |
2023 |
url |
https://dx.doi.org/10.1594/pangaea.950900 https://doi.pangaea.de/10.1594/PANGAEA.950900 |
genre |
Arctic Arctic Ocean Fram Strait laptev Laptev Sea Sea ice |
genre_facet |
Arctic Arctic Ocean Fram Strait laptev Laptev Sea Sea ice |
op_relation |
https://github.com/awi-als-toolbox/awi-als-toolbox https://dx.doi.org/10.1594/pangaea.950509 https://dx.doi.org/10.1594/pangaea.950339 https://dx.doi.org/10.1594/pangaea.950896 https://dx.doi.org/10.1038/s41597-023-02565-6 https://github.com/awi-als-toolbox/awi-als-toolbox https://dx.doi.org/10.1525/elementa.2021.000046 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.1594/pangaea.95090010.1594/pangaea.95050910.1594/pangaea.95033910.1594/pangaea.95089610.1038/s41597-023-02565-610.1525/elementa.2021.000046 |
_version_ |
1797577122167914496 |