Snow and ice thickness retrievals using GNSS-R: Preliminary results of the mosaic experiment
The FSSCat mission was the 2017 ESA Sentinel Small Satellite (S^3) Challenge winner and the Copernicus Masters competition overall winner. It was successfully launched on 3 September 2020 onboard the VEGA SSMS PoC (VV16). FSSCat aims to provide coarse and downscaled soil moisture data and over polar...
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Multidisciplinary Digital Publishing Institute (MDPI)
2020
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Online Access: | http://hdl.handle.net/2117/343805 https://doi.org/10.3390/rs12244038 |
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ftupcatalunyair:oai:upcommons.upc.edu:2117/343805 2024-09-15T17:36:46+00:00 Snow and ice thickness retrievals using GNSS-R: Preliminary results of the mosaic experiment Muñoz Martin, Joan Francesc Pérez Portero, Adrián Camps Carmona, Adriano José Ribó Vedrilla, Serni Cardellach Galí, Estel Stroeve, Julienne Nandan, Vishnu Itkin, Polona Tonboe, Rasmus Hendricks, Stefan Huntemann, Marcus Spreen, Gunnar Pastena, Massimiliano Universitat Politècnica de Catalunya. Doctorat en Teoria del Senyal i Comunicacions Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció 2020-12-02 20 p. application/pdf http://hdl.handle.net/2117/343805 https://doi.org/10.3390/rs12244038 eng eng Multidisciplinary Digital Publishing Institute (MDPI) https://www.mdpi.com/2072-4292/12/24/4038 info:eu-repo/grantAgreement/MINECO/FEDER/RTI2018-099008-B-C21/AEI/10 info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-099008-B-C22/ES/SENSING WITH PIONEERING OPPORTUNISTIC TECHNIQUES/ info:eu-repo/grantAgreement/FEDER/MDM-2016-0600 Muñoz, J. [et al.]. Snow and ice thickness retrievals using GNSS-R: Preliminary results of the mosaic experiment. "Remote sensing", 2 Desembre 2020, vol. 12, núm. 24, p. 1-20. 2072-4292 http://hdl.handle.net/2117/343805 doi:10.3390/rs12244038 Attribution 3.0 Spain http://creativecommons.org/licenses/by/3.0/es/ Open Access Àrees temàtiques de la UPC::Enginyeria de la telecomunicació Global Positioning System Snow GNSS-R sea-ice arctic Sistema de posicionament global Neu Article 2020 ftupcatalunyair https://doi.org/10.3390/rs12244038 2024-07-25T11:11:01Z The FSSCat mission was the 2017 ESA Sentinel Small Satellite (S^3) Challenge winner and the Copernicus Masters competition overall winner. It was successfully launched on 3 September 2020 onboard the VEGA SSMS PoC (VV16). FSSCat aims to provide coarse and downscaled soil moisture data and over polar regions, sea ice cover, and coarse resolution ice thickness using a combined L-band microwave radiometer and GNSS-Reflectometry payload. As part of the calibration and validation activities of FSSCat, a GNSS-R instrument was deployed as part of the MOSAiC polar expedition. The Multidisciplinary drifting Observatory for the Study of Arctic Climate expedition was an international one-year-long field experiment led by the Alfred Wegener Institute to study the climate system and the impact of climate change in the Arctic Ocean. This paper presents the first results of the PYCARO-2 instrument, focused on the GNSS-R techniques used to measure snow and ice thickness of an ice floe. The Interference Pattern produced by the combination of the GNSS direct and reflected signals over the sea-ice has been modeled using a four-layer model. The different thicknesses of the substrate layers (i.e., snow and ice) are linked to the position of the fringes of the interference pattern. Data collected by MOSAiC GNSS-R instrument between December 2019 and January 2020 for different GNSS constellations and frequencies are presented and analyzed, showing that under general conditions, sea ice and snow thickness can be retrieved using multiangular and multifrequency data This work was supported by 2017 ESA S3 challenge and Copernicus Masters overall winner award (“FSSCat” project) and ESA project “FSSCat Validation Experiment in MOSAIC” (ESA CN 4000128320/19/NL/FF/ab). This work was also supported by ESA under the PO 5001025474. The PYCARO-2 instrument was developed within the SPOT project: Sensing with Pioneering Opportunistic Techniques grant RTI2018-099008-B-C21/AEI/10.13039/501100011033 and RTI2018-099008-B-C22, and by EU EDRF funds and ... Article in Journal/Newspaper Alfred Wegener Institute Arctic Ocean Climate change Sea ice Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge Remote Sensing 12 24 4038 |
institution |
Open Polar |
collection |
Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge |
op_collection_id |
ftupcatalunyair |
language |
English |
topic |
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació Global Positioning System Snow GNSS-R sea-ice arctic Sistema de posicionament global Neu |
spellingShingle |
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació Global Positioning System Snow GNSS-R sea-ice arctic Sistema de posicionament global Neu Muñoz Martin, Joan Francesc Pérez Portero, Adrián Camps Carmona, Adriano José Ribó Vedrilla, Serni Cardellach Galí, Estel Stroeve, Julienne Nandan, Vishnu Itkin, Polona Tonboe, Rasmus Hendricks, Stefan Huntemann, Marcus Spreen, Gunnar Pastena, Massimiliano Snow and ice thickness retrievals using GNSS-R: Preliminary results of the mosaic experiment |
topic_facet |
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació Global Positioning System Snow GNSS-R sea-ice arctic Sistema de posicionament global Neu |
description |
The FSSCat mission was the 2017 ESA Sentinel Small Satellite (S^3) Challenge winner and the Copernicus Masters competition overall winner. It was successfully launched on 3 September 2020 onboard the VEGA SSMS PoC (VV16). FSSCat aims to provide coarse and downscaled soil moisture data and over polar regions, sea ice cover, and coarse resolution ice thickness using a combined L-band microwave radiometer and GNSS-Reflectometry payload. As part of the calibration and validation activities of FSSCat, a GNSS-R instrument was deployed as part of the MOSAiC polar expedition. The Multidisciplinary drifting Observatory for the Study of Arctic Climate expedition was an international one-year-long field experiment led by the Alfred Wegener Institute to study the climate system and the impact of climate change in the Arctic Ocean. This paper presents the first results of the PYCARO-2 instrument, focused on the GNSS-R techniques used to measure snow and ice thickness of an ice floe. The Interference Pattern produced by the combination of the GNSS direct and reflected signals over the sea-ice has been modeled using a four-layer model. The different thicknesses of the substrate layers (i.e., snow and ice) are linked to the position of the fringes of the interference pattern. Data collected by MOSAiC GNSS-R instrument between December 2019 and January 2020 for different GNSS constellations and frequencies are presented and analyzed, showing that under general conditions, sea ice and snow thickness can be retrieved using multiangular and multifrequency data This work was supported by 2017 ESA S3 challenge and Copernicus Masters overall winner award (“FSSCat” project) and ESA project “FSSCat Validation Experiment in MOSAIC” (ESA CN 4000128320/19/NL/FF/ab). This work was also supported by ESA under the PO 5001025474. The PYCARO-2 instrument was developed within the SPOT project: Sensing with Pioneering Opportunistic Techniques grant RTI2018-099008-B-C21/AEI/10.13039/501100011033 and RTI2018-099008-B-C22, and by EU EDRF funds and ... |
author2 |
Universitat Politècnica de Catalunya. Doctorat en Teoria del Senyal i Comunicacions Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció |
format |
Article in Journal/Newspaper |
author |
Muñoz Martin, Joan Francesc Pérez Portero, Adrián Camps Carmona, Adriano José Ribó Vedrilla, Serni Cardellach Galí, Estel Stroeve, Julienne Nandan, Vishnu Itkin, Polona Tonboe, Rasmus Hendricks, Stefan Huntemann, Marcus Spreen, Gunnar Pastena, Massimiliano |
author_facet |
Muñoz Martin, Joan Francesc Pérez Portero, Adrián Camps Carmona, Adriano José Ribó Vedrilla, Serni Cardellach Galí, Estel Stroeve, Julienne Nandan, Vishnu Itkin, Polona Tonboe, Rasmus Hendricks, Stefan Huntemann, Marcus Spreen, Gunnar Pastena, Massimiliano |
author_sort |
Muñoz Martin, Joan Francesc |
title |
Snow and ice thickness retrievals using GNSS-R: Preliminary results of the mosaic experiment |
title_short |
Snow and ice thickness retrievals using GNSS-R: Preliminary results of the mosaic experiment |
title_full |
Snow and ice thickness retrievals using GNSS-R: Preliminary results of the mosaic experiment |
title_fullStr |
Snow and ice thickness retrievals using GNSS-R: Preliminary results of the mosaic experiment |
title_full_unstemmed |
Snow and ice thickness retrievals using GNSS-R: Preliminary results of the mosaic experiment |
title_sort |
snow and ice thickness retrievals using gnss-r: preliminary results of the mosaic experiment |
publisher |
Multidisciplinary Digital Publishing Institute (MDPI) |
publishDate |
2020 |
url |
http://hdl.handle.net/2117/343805 https://doi.org/10.3390/rs12244038 |
genre |
Alfred Wegener Institute Arctic Ocean Climate change Sea ice |
genre_facet |
Alfred Wegener Institute Arctic Ocean Climate change Sea ice |
op_relation |
https://www.mdpi.com/2072-4292/12/24/4038 info:eu-repo/grantAgreement/MINECO/FEDER/RTI2018-099008-B-C21/AEI/10 info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-099008-B-C22/ES/SENSING WITH PIONEERING OPPORTUNISTIC TECHNIQUES/ info:eu-repo/grantAgreement/FEDER/MDM-2016-0600 Muñoz, J. [et al.]. Snow and ice thickness retrievals using GNSS-R: Preliminary results of the mosaic experiment. "Remote sensing", 2 Desembre 2020, vol. 12, núm. 24, p. 1-20. 2072-4292 http://hdl.handle.net/2117/343805 doi:10.3390/rs12244038 |
op_rights |
Attribution 3.0 Spain http://creativecommons.org/licenses/by/3.0/es/ Open Access |
op_doi |
https://doi.org/10.3390/rs12244038 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
24 |
container_start_page |
4038 |
_version_ |
1810491995842412544 |