Geolocated sea-ice or snow surface elevation point cloud segments from helicopter-borne laser scanner during the MOSAiC expedition flight 20200717_01, version 1

DOI

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 segments in a custom binary format, for which we provide a python-based parsing tool in awi-als-toolbox (https://github.com/awi-als-toolbox/awi-als-toolbox), together with corresponding metadata json and line-shot quicklook png files. The point cloud data includes as variables: surface elevation (referenced to DTU mean sea surface height), surface reflectance, and echo width. The degraded GPS altitude data >85°N may cause undulations in the along-track surface elevations, which are not corrected for in this data product.

Identifier
DOI https://doi.org/10.1594/PANGAEA.950947
Related Identifier IsPartOf https://doi.org/10.1594/PANGAEA.950509
Related Identifier References https://doi.org/10.1594/PANGAEA.950339
Related Identifier References https://doi.org/10.1594/PANGAEA.950896
Related Identifier References https://doi.org/10.1038/s41597-023-02565-6
Related Identifier IsDocumentedBy https://github.com/awi-als-toolbox/awi-als-toolbox
Related Identifier IsDocumentedBy https://doi.org/10.1525/elementa.2021.000046
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.950947
Provenance
Creator Jutila, Arttu ORCID logo; Hendricks, Stefan ORCID logo; Birnbaum, Gerit ORCID logo; von Albedyll, Luisa ORCID logo; Ricker, Robert ORCID logo; Helm, Veit ORCID logo; Hutter, Nils ORCID logo; Haas, Christian ORCID logo
Publisher PANGAEA
Publication Year 2023
Funding Reference Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven https://doi.org/10.13039/501100003207 Crossref Funder ID AFMOSAiC-1_00 Multidisciplinary drifting Observatory for the Study of Arctic Climate; Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven https://doi.org/10.13039/501100003207 Crossref Funder ID AWI_PS122_00 Multidisciplinary drifting Observatory for the Study of Arctic Climate / MOSAiC; Federal Ministry of Education and Research https://doi.org/10.13039/501100002347 Crossref Funder ID 03F0866A https://foerderportal.bund.de/foekat/jsp/SucheAction.do?actionMode=view&fkz=03F0866A MOSAiC 1 - IceSense: Fernerkundung der saisonalen Entwicklung klimarelevanter Meereis-Eigenschaften; Leitantrag; Vorhaben: Saisonale Veränderungen von Eisdicken und Schmelztümpeln
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 46 data points
Discipline Earth System Research
Spatial Coverage (0.354W, 81.124S, 0.357E, 81.139N); Arctic Ocean
Temporal Coverage Begin 2020-07-17T15:22:46Z
Temporal Coverage End 2020-07-17T17:17:52Z