Synthetic Aperture Radar Images from Sentinel-1 over the Arctic Ocean from 2020-2021

DOI

Two levels of processed Synthetic Aperture Radar imagery of Arctic sea ice. First, Level-1 Ground Range Detected Synthetic Aperture Radar imagery as downloaded from the Alaska Satellite Facility Vertex platform (Piantanida, 2022). Second, NetCDF files of backscatter that are radiometrically calibrated, speckle reduced, cross-polarization ratio calculated, and separately normalized and converted to decibels, and reprojected into a polar stereographic coordinate reference system (Meyer, 2019). All pre-processing of the L1-GRD data was done in the Sentinel Application Platform (SNAP) (ESA, 2024). Images are coincident over the SIDEx drifting buoy array from March 2021 to May 2021. Images were acquired from March 14 to May 05, 2021 and are centered at 72N drifting from approximately -150W to -158W. These images are intended to serve as pairs for producing sea ice motion maps from motion-extracting algorithms.

File descriptions: Each image (one acquisition time) comes in original L1-GRD as a zip file (<500 MB), netCDF (<5GB), and SNAP I/O BEAM-DIMAP (<50 MB). There are 49 of each type.

Identifier
DOI https://doi.pangaea.de/10.1594/PANGAEA.986430
Related Identifier IsDerivedFrom https://search.asf.alaska.edu/#/
Related Identifier References https://step.esa.int/main/
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.986430
Provenance
Creator Kaidel, Larson (ORCID: 0009-0007-7154-125X); Polashenski, Christopher
Publisher PANGAEA
Publication Year 2025
Funding Reference Office of Naval Research https://doi.org/10.13039/100000006 Crossref Funder ID N00014-20-1-2595 https://math.la.asu.edu/~muri/ Sea Ice Modeling and Data Assimilation (SIMDA)
Rights Creative Commons Attribution 4.0 International; Data access is restricted (moratorium, sensitive data, license constraints); https://creativecommons.org/licenses/by/4.0/
OpenAccess false
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 62 data points
Discipline Earth System Research