Geolocated sea-ice or snow surface elevation point cloud segments from helicopter-borne laser scanner during the MOSAiC expedition flight 20200121_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...

Full description

Bibliographic Details
Main Authors: Jutila, Arttu, Hendricks, Stefan, Birnbaum, Gerit, von Albedyll, Luisa, Ricker, Robert, Helm, Veit, Hutter, Nils, Haas, Christian
Format: Dataset
Language:English
Published: PANGAEA 2023
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.950917
https://doi.pangaea.de/10.1594/PANGAEA.950917
id ftdatacite:10.1594/pangaea.950917
record_format openpolar
spelling ftdatacite:10.1594/pangaea.950917 2024-04-28T08:08:19+00:00 Geolocated sea-ice or snow surface elevation point cloud segments from helicopter-borne laser scanner during the MOSAiC expedition flight 20200121_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.950917 https://doi.pangaea.de/10.1594/PANGAEA.950917 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 PS122/2 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.95091710.1594/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
PS122/2
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
PS122/2
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 20200121_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
PS122/2
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 20200121_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 20200121_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 20200121_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 20200121_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 20200121_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 20200121_01, version 1 ...
publisher PANGAEA
publishDate 2023
url https://dx.doi.org/10.1594/pangaea.950917
https://doi.pangaea.de/10.1594/PANGAEA.950917
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.95091710.1594/pangaea.95050910.1594/pangaea.95033910.1594/pangaea.95089610.1038/s41597-023-02565-610.1525/elementa.2021.000046
_version_ 1797577148012167168