A Machine Learning Approach on SMOS Thin Sea Ice Thickness Retrieval
Author:
Affiliation:
1. Institute of Marine Sciences (ICM-CSIC), Barcelona, Spain
2. Autonomous University of Barcelona (UAB), Cerdanyola del Vallès, Spain
3. isardSAT S.L., Barcelona, Spain
Funder
AEI with the ARCTIC-MON Project
Programación Conjunta Internacional
Spanish government
Severo Ochoa Centre of Excellence
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/4609443/10330207/10543019.pdf?arnumber=10543019
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2. Arctic sea ice thickness, volume, and multiyear ice coverage: losses and coupled variability (1958–2018)
3. Polar Regions
4. Arctic sea ice radar freeboard retrieval from the European remote-sensing satellite (ers-2) using altimetry: Toward sea ice thickness observation from (1995 to 2021);Bocquet,2023
5. CryoSat-2 estimates of Arctic sea ice thickness and volume
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