Linear Kinematic Features (leads & pressure ridges) detected and tracked in Sentinel-1 drift and deformation data during the MOSAiC expedition

DOI

Leads and pressure ridges are dominant features of the Arctic sea ice cover. Not only do they affect heat loss and surface drag, but also provide insight into the underlying physics of sea ice deformation. Due to their elongated shape they are referred as Linear Kinematic Features (LKFs). This data-set includes LKFs that were detected and tracked in sea ice deformation data obtained during the MOSAiC expedition from Sentinel-1 SAR data (von Albedyl & Hutter, 2023). The data-set spans the winter months between October 2019 and May 2020. A detailed description of the data-set and of the algorithms deriving it is provided in Hutter et al. (2019). We used the updated version of the algorithm for the data processing (Hutter, 2023). The dataset is closer described in Ringeisen et al. (2023).

Identifier
DOI https://doi.org/10.1594/PANGAEA.962308
Related Identifier References https://doi.org/10.5194/tc-13-627-2019
Related Identifier References https://doi.org/10.5194/tc-17-4047-2023
Related Identifier IsDerivedFrom https://doi.org/10.1594/PANGAEA.958449
Related Identifier References https://doi.org/10.5281/ZENODO.8107224
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.962308
Provenance
Creator Hutter, Nils ORCID logo; von Albedyll, Luisa 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
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 6 data points
Discipline Earth System Research