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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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 |
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Open Polar |
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MDPI Open Access Publishing |
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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 |
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2 |
container_issue |
8 |
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2017 |
op_container_end_page |
2039 |
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1774723293647994880 |