Pan-Arctic 200m resolution ice concentration mapping by fusing RCM, Sentinel-1 and AMSR2 data via deep learning

Category

Published in:

Abstracts of the ICA
Vol. 10.2025 (12.12.2025), art. no. 105, p. 1-2

Volume:

10.2025

Publication date:

12.12.2025

URN:

urn:nbn:de:0307-20260130-001-9

DOI:

10.5194/ica-abs-10-105-2025

Language:

English

Type of Resource:

Text

Extent:

1 Online-Ressource (Seite 1-2, 868,74 kB) : 1 Illustration, 1 Tabelle, 1 Textdatei (PDF)

Keywords:

Pan-Arctic Ice Mapping; Data Fusion; Deep Learning^GND; gesamtarktische Eiskartierung; Datenfusion^GND; Tiefgehendes Lernen

DDC subject of DNB:

520 Astronomy & allied sciences

URL:

https://doi.org/10.5194/ica-abs-10-105-2025

URL:

https://ica-abs.copernicus.org/articles/10/105/2025/

Link to Raw Object:

https://ica-abs.copernicus.org/articles/10/105/2025/ica-abs-10-105-2025.pdf

Hosting institution:

University of Calgary (UC) [CA]

Hosting institution:

Internationale Forschungseinrichtungen

Statement of responsibility:

Mabel Heffring, Lincoln Linlin Xu

Bibliographic notes:

Published in: Abstracts of the ICA, Volume 10, 2025 - 32nd International Cartographic Conference (ICC 2025); 17–22 August 2025, Vancouver, Canada; Editors: Mir Abolfazl Mostafavi, Jonathan Li, and Emmanuel Stefanakis | https://ica-abs.copernicus.org/articles/10/index.html