Machine Learning for Arctic Sea Ice Physical Properties Estimation Using Dual-Polarimetric SAR Data

Bibliographic Details
Published in:IEEE Transactions on Geoscience and Remote Sensing
Main Authors: Blix, Katalin, Espeseth, Martine Mostervik, Eltoft, Torbjorn
Other Authors: Center for Integrated Remote Sensing and Forecasting for Arctic Operations (CIRFA) through the Research Council of Norway (RCN) and CIRFA partners
Format: Article in Journal/Newspaper
Language:unknown
Published: Institute of Electrical and Electronics Engineers (IEEE) 2021
Subjects:
General Earth and Planetary Sciences
Electrical and Electronic Engineering
Arctic
Sea ice
Online Access:http://dx.doi.org/10.1109/tgrs.2020.3022461
http://xplorestaging.ieee.org/ielx7/36/9438983/09203812.pdf?arnumber=9203812
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spelling crieeecr:10.1109/tgrs.2020.3022461 2024-05-12T07:58:46+00:00 Machine Learning for Arctic Sea Ice Physical Properties Estimation Using Dual-Polarimetric SAR Data Blix, Katalin Espeseth, Martine Mostervik Eltoft, Torbjorn Center for Integrated Remote Sensing and Forecasting for Arctic Operations (CIRFA) through the Research Council of Norway (RCN) and CIRFA partners 2021 http://dx.doi.org/10.1109/tgrs.2020.3022461 http://xplorestaging.ieee.org/ielx7/36/9438983/09203812.pdf?arnumber=9203812 unknown Institute of Electrical and Electronics Engineers (IEEE) https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html https://doi.org/10.15223/policy-029 https://doi.org/10.15223/policy-037 IEEE Transactions on Geoscience and Remote Sensing volume 59, issue 6, page 4618-4634 ISSN 0196-2892 1558-0644 General Earth and Planetary Sciences Electrical and Electronic Engineering journal-article 2021 crieeecr https://doi.org/10.1109/tgrs.2020.3022461 2024-04-18T08:03:13Z Article in Journal/Newspaper Arctic Sea ice IEEE Publications Arctic IEEE Transactions on Geoscience and Remote Sensing 59 6 4618 4634
institution Open Polar
collection IEEE Publications
op_collection_id crieeecr
language unknown
topic General Earth and Planetary Sciences
Electrical and Electronic Engineering
spellingShingle General Earth and Planetary Sciences
Electrical and Electronic Engineering
Blix, Katalin
Espeseth, Martine Mostervik
Eltoft, Torbjorn
Machine Learning for Arctic Sea Ice Physical Properties Estimation Using Dual-Polarimetric SAR Data
topic_facet General Earth and Planetary Sciences
Electrical and Electronic Engineering
author2 Center for Integrated Remote Sensing and Forecasting for Arctic Operations (CIRFA) through the Research Council of Norway (RCN) and CIRFA partners
format Article in Journal/Newspaper
author Blix, Katalin
Espeseth, Martine Mostervik
Eltoft, Torbjorn
author_facet Blix, Katalin
Espeseth, Martine Mostervik
Eltoft, Torbjorn
author_sort Blix, Katalin
title Machine Learning for Arctic Sea Ice Physical Properties Estimation Using Dual-Polarimetric SAR Data
title_short Machine Learning for Arctic Sea Ice Physical Properties Estimation Using Dual-Polarimetric SAR Data
title_full Machine Learning for Arctic Sea Ice Physical Properties Estimation Using Dual-Polarimetric SAR Data
title_fullStr Machine Learning for Arctic Sea Ice Physical Properties Estimation Using Dual-Polarimetric SAR Data
title_full_unstemmed Machine Learning for Arctic Sea Ice Physical Properties Estimation Using Dual-Polarimetric SAR Data
title_sort machine learning for arctic sea ice physical properties estimation using dual-polarimetric sar data
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2021
url http://dx.doi.org/10.1109/tgrs.2020.3022461
http://xplorestaging.ieee.org/ielx7/36/9438983/09203812.pdf?arnumber=9203812
geographic Arctic
geographic_facet Arctic
genre Arctic
Sea ice
genre_facet Arctic
Sea ice
op_source IEEE Transactions on Geoscience and Remote Sensing
volume 59, issue 6, page 4618-4634
ISSN 0196-2892 1558-0644
op_rights https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html
https://doi.org/10.15223/policy-029
https://doi.org/10.15223/policy-037
op_doi https://doi.org/10.1109/tgrs.2020.3022461
container_title IEEE Transactions on Geoscience and Remote Sensing
container_volume 59
container_issue 6
container_start_page 4618
op_container_end_page 4634
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