Coastal Sea Ice Detection Using Ground-Based GNSS-R

Determination of sea ice extent is important both for climate modeling and transportation planning. Detection and monitoring of ice are often done by synthetic aperture radar imagery, but mostly without any ground truth. For the latter purpose, robust and continuously operating sensors are required....

Full description

Bibliographic Details
Published in:IEEE Geoscience and Remote Sensing Letters
Main Authors: Strandberg, Joakim, Hobiger, Thomas, Haas, Rüdiger
Language:unknown
Published: 2017
Subjects:
SNR
Online Access:https://doi.org/10.1109/LGRS.2017.2722041
https://research.chalmers.se/en/publication/251083
id ftchalmersuniv:oai:research.chalmers.se:251083
record_format openpolar
spelling ftchalmersuniv:oai:research.chalmers.se:251083 2023-05-15T18:16:21+02:00 Coastal Sea Ice Detection Using Ground-Based GNSS-R Strandberg, Joakim Hobiger, Thomas Haas, Rüdiger 2017 text https://doi.org/10.1109/LGRS.2017.2722041 https://research.chalmers.se/en/publication/251083 unknown http://dx.doi.org/10.1109/LGRS.2017.2722041 https://research.chalmers.se/en/publication/251083 Other Earth and Related Environmental Sciences SNR Global Navigation Satellite System (GNSS) reflectometry sea ice GNSS-R inverse modeling 2017 ftchalmersuniv https://doi.org/10.1109/LGRS.2017.2722041 2022-12-11T07:01:58Z Determination of sea ice extent is important both for climate modeling and transportation planning. Detection and monitoring of ice are often done by synthetic aperture radar imagery, but mostly without any ground truth. For the latter purpose, robust and continuously operating sensors are required. We demonstrate that signals recorded by ground-based Global Navigation Satellite System (GNSS) receivers can detect coastal ice coverage on nearby water surfaces. Beside a description of the retrieval approach, we discuss why GNSS reflectometry is sensitive to the presence of sea ice. It is shown that during winter seasons with freezing periods, the GNSS-R analysis of data recorded with a coastal GNSS installation clearly shows the occurrence of ice in the bay where this installation is located. Thus, coastal GNSS installations could be promising sources of ground truth for sea ice extent measurements. Other/Unknown Material Sea ice Chalmers University of Technology: Chalmers research IEEE Geoscience and Remote Sensing Letters 14 9 1552 1556
institution Open Polar
collection Chalmers University of Technology: Chalmers research
op_collection_id ftchalmersuniv
language unknown
topic Other Earth and Related Environmental Sciences
SNR
Global Navigation Satellite System (GNSS)
reflectometry
sea ice
GNSS-R
inverse modeling
spellingShingle Other Earth and Related Environmental Sciences
SNR
Global Navigation Satellite System (GNSS)
reflectometry
sea ice
GNSS-R
inverse modeling
Strandberg, Joakim
Hobiger, Thomas
Haas, Rüdiger
Coastal Sea Ice Detection Using Ground-Based GNSS-R
topic_facet Other Earth and Related Environmental Sciences
SNR
Global Navigation Satellite System (GNSS)
reflectometry
sea ice
GNSS-R
inverse modeling
description Determination of sea ice extent is important both for climate modeling and transportation planning. Detection and monitoring of ice are often done by synthetic aperture radar imagery, but mostly without any ground truth. For the latter purpose, robust and continuously operating sensors are required. We demonstrate that signals recorded by ground-based Global Navigation Satellite System (GNSS) receivers can detect coastal ice coverage on nearby water surfaces. Beside a description of the retrieval approach, we discuss why GNSS reflectometry is sensitive to the presence of sea ice. It is shown that during winter seasons with freezing periods, the GNSS-R analysis of data recorded with a coastal GNSS installation clearly shows the occurrence of ice in the bay where this installation is located. Thus, coastal GNSS installations could be promising sources of ground truth for sea ice extent measurements.
author Strandberg, Joakim
Hobiger, Thomas
Haas, Rüdiger
author_facet Strandberg, Joakim
Hobiger, Thomas
Haas, Rüdiger
author_sort Strandberg, Joakim
title Coastal Sea Ice Detection Using Ground-Based GNSS-R
title_short Coastal Sea Ice Detection Using Ground-Based GNSS-R
title_full Coastal Sea Ice Detection Using Ground-Based GNSS-R
title_fullStr Coastal Sea Ice Detection Using Ground-Based GNSS-R
title_full_unstemmed Coastal Sea Ice Detection Using Ground-Based GNSS-R
title_sort coastal sea ice detection using ground-based gnss-r
publishDate 2017
url https://doi.org/10.1109/LGRS.2017.2722041
https://research.chalmers.se/en/publication/251083
genre Sea ice
genre_facet Sea ice
op_relation http://dx.doi.org/10.1109/LGRS.2017.2722041
https://research.chalmers.se/en/publication/251083
op_doi https://doi.org/10.1109/LGRS.2017.2722041
container_title IEEE Geoscience and Remote Sensing Letters
container_volume 14
container_issue 9
container_start_page 1552
op_container_end_page 1556
_version_ 1766189916146892800