Towards Sea Ice Remote Sensing with Space Detected GPS Signals: Demonstration of Technical Feasibility and Initial Consistency Check Using Low Resolution Sea Ice Information

This paper presents two space detected Global Positioning System (GPS)signals reflected off sea ice and compares the returned power profiles with independent estimates of ice concentration provided by the Advanced Microwave Scanning Radiometer (AMSR-E) and sea ice charts from the National Ice Center...

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Published in:Remote Sensing
Main Author: Scott Gleason
Format: Text
Language:English
Published: Molecular Diversity Preservation International 2010
Subjects:
GPS
Online Access:https://doi.org/10.3390/rs2082017
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spelling ftmdpi:oai:mdpi.com:/2072-4292/2/8/2017/ 2023-08-20T04:09:41+02:00 Towards Sea Ice Remote Sensing with Space Detected GPS Signals: Demonstration of Technical Feasibility and Initial Consistency Check Using Low Resolution Sea Ice Information Scott Gleason agris 2010-08-25 application/pdf https://doi.org/10.3390/rs2082017 EN eng Molecular Diversity Preservation International https://dx.doi.org/10.3390/rs2082017 https://creativecommons.org/licenses/by/3.0/ Remote Sensing; Volume 2; Issue 8; Pages: 2017-2039 ice sensing sea ice ice concentration GPS GNSS GNSS-R bistatic radar Text 2010 ftmdpi https://doi.org/10.3390/rs2082017 2023-07-31T20:25:11Z This paper presents two space detected Global Positioning System (GPS)signals reflected off sea ice and compares the returned power profiles with independent estimates of ice concentration provided by the Advanced Microwave Scanning Radiometer (AMSR-E) and sea ice charts from the National Ice Center. The results of the analysis show significantly different signals received for each of the GPS reflections. For the first collection,comparisons with ice concentration estimates from AMSR-E and the National Ice Centers reveal a very strong GPS signal return off high concentration sea ice. The second GPS data collection occurs over a region of changing sea ice concentration, and the GPS signal level responds at roughly the same point that the AMSR-E data and National Ice Center charts indicate a change in ice concentration. However, the very strong signal of the first GPS collection is not consistent in magnitude with similar ice concentrations during the secondGPS data collection. This demonstration shows the potential and the difficulties of this new technique as a valuable low-cost compliment to existing sea ice monitoring instruments. Additionally, a general method for calculating the location of the specular reflection point on the Earth’s surface and the received Doppler frequencies and code phase delays is presented as part of an on-board open-loop signal tracking technique. Text Sea ice MDPI Open Access Publishing Remote Sensing 2 8 2017 2039
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic ice sensing
sea ice
ice concentration
GPS
GNSS
GNSS-R
bistatic radar
spellingShingle ice sensing
sea ice
ice concentration
GPS
GNSS
GNSS-R
bistatic radar
Scott Gleason
Towards Sea Ice Remote Sensing with Space Detected GPS Signals: Demonstration of Technical Feasibility and Initial Consistency Check Using Low Resolution Sea Ice Information
topic_facet ice sensing
sea ice
ice concentration
GPS
GNSS
GNSS-R
bistatic radar
description This paper presents two space detected Global Positioning System (GPS)signals reflected off sea ice and compares the returned power profiles with independent estimates of ice concentration provided by the Advanced Microwave Scanning Radiometer (AMSR-E) and sea ice charts from the National Ice Center. The results of the analysis show significantly different signals received for each of the GPS reflections. For the first collection,comparisons with ice concentration estimates from AMSR-E and the National Ice Centers reveal a very strong GPS signal return off high concentration sea ice. The second GPS data collection occurs over a region of changing sea ice concentration, and the GPS signal level responds at roughly the same point that the AMSR-E data and National Ice Center charts indicate a change in ice concentration. However, the very strong signal of the first GPS collection is not consistent in magnitude with similar ice concentrations during the secondGPS data collection. This demonstration shows the potential and the difficulties of this new technique as a valuable low-cost compliment to existing sea ice monitoring instruments. Additionally, a general method for calculating the location of the specular reflection point on the Earth’s surface and the received Doppler frequencies and code phase delays is presented as part of an on-board open-loop signal tracking technique.
format Text
author Scott Gleason
author_facet Scott Gleason
author_sort Scott Gleason
title Towards Sea Ice Remote Sensing with Space Detected GPS Signals: Demonstration of Technical Feasibility and Initial Consistency Check Using Low Resolution Sea Ice Information
title_short Towards Sea Ice Remote Sensing with Space Detected GPS Signals: Demonstration of Technical Feasibility and Initial Consistency Check Using Low Resolution Sea Ice Information
title_full Towards Sea Ice Remote Sensing with Space Detected GPS Signals: Demonstration of Technical Feasibility and Initial Consistency Check Using Low Resolution Sea Ice Information
title_fullStr Towards Sea Ice Remote Sensing with Space Detected GPS Signals: Demonstration of Technical Feasibility and Initial Consistency Check Using Low Resolution Sea Ice Information
title_full_unstemmed Towards Sea Ice Remote Sensing with Space Detected GPS Signals: Demonstration of Technical Feasibility and Initial Consistency Check Using Low Resolution Sea Ice Information
title_sort towards sea ice remote sensing with space detected gps signals: demonstration of technical feasibility and initial consistency check using low resolution sea ice information
publisher Molecular Diversity Preservation International
publishDate 2010
url https://doi.org/10.3390/rs2082017
op_coverage agris
genre Sea ice
genre_facet Sea ice
op_source Remote Sensing; Volume 2; Issue 8; Pages: 2017-2039
op_relation https://dx.doi.org/10.3390/rs2082017
op_rights https://creativecommons.org/licenses/by/3.0/
op_doi https://doi.org/10.3390/rs2082017
container_title Remote Sensing
container_volume 2
container_issue 8
container_start_page 2017
op_container_end_page 2039
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