University of Maryland classified LVIS georeferenced imagery of Arctic summer sea ice, version 1

DOI

This data collection encompasses 1,387 classified LVIS georeferenced images, which include four classes: Ice, Melt Pond, Open Water, and Shadow. The original LVIS images were acquired in July 2022 using a PhaseOne medium-format camera during the ICESat-2 2022 Arctic Summer calibration campaign, with spatial resolution ranging between 0.39 m and 0.5 m. An image screening was conducted prior to the image classification to remove cloudy images from the collection. The image classification was based on the Random Forest algorithm. An accuracy assessment using 20 randomly selected classified images indicated that the classified imagery has an overall accuracy of more than 85%. The classified images can be used for tracking sea ice dynamics over time and for providing reference for the interpretation of altimetry data.

Identifier
DOI https://doi.org/10.1594/PANGAEA.972753
Related Identifier References https://doi.org/10.5067/K1EYYP0SL2PF
Related Identifier References https://doi.org/10.1023/A:1010933404324
Related Identifier References https://doi.org/10.5194/tc-17-3695-2023
Related Identifier References https://doi.org/10.22541/essoar.170365363.32462108/v1
Related Identifier References https://doi.org/10.3390/rs13173385
Related Identifier References https://doi.org/10.1029/2020GL090708
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.972753
Provenance
Creator Chen, Dong ORCID logo; Farrell, Sinead L ORCID logo; Duncan, Kyle; Eun, Jaemin
Publisher PANGAEA
Publication Year 2024
Funding Reference National Aeronautics and Space Administration https://doi.org/10.13039/100000104 Crossref Funder ID 80NSSC22K0815 Enhancing Laser altimeter Elevation measurements through Validation of Arctic summer sea ice as Temperatures Evolve
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 1387 data points
Discipline Earth System Research
Spatial Coverage (-73.360W, 78.670S, 15.840E, 86.920N)
Temporal Coverage Begin 2022-07-11T14:02:19Z
Temporal Coverage End 2022-07-26T15:39:01Z