GLORI: A GNSS-R Dual Polarization Airborne Instrument for Land Surface Monitoring

Bibliographic Details
Title: GLORI: A GNSS-R Dual Polarization Airborne Instrument for Land Surface Monitoring
Authors: Erwan Motte, Mehrez Zribi, Pascal Fanise, Alejandro Egido, José Darrozes, Amen Al-Yaari, Nicolas Baghdadi, Frédéric Baup, Sylvia Dayau, Remy Fieuzal, Pierre-Louis Frison, Dominique Guyon, Jean-Pierre Wigneron
Source: Sensors, Vol 16, Iss 5, p 732 (2016)
Publisher Information: MDPI AG, 2016.
Publication Year: 2016
Collection: LCC:Chemical technology
Subject Terms: soil moisture, vegetation, biomass, airborne, microwave, L-Band, GPS, reflectometry, multistatic radar, GNSS-R, Chemical technology, TP1-1185
More Details: Global Navigation Satellite System-Reflectometry (GNSS-R) has emerged as a remote sensing tool, which is complementary to traditional monostatic radars, for the retrieval of geophysical parameters related to surface properties. In the present paper, we describe a new polarimetric GNSS-R system, referred to as the GLObal navigation satellite system Reflectometry Instrument (GLORI), dedicated to the study of land surfaces (soil moisture, vegetation water content, forest biomass) and inland water bodies. This system was installed as a permanent payload on a French ATR42 research aircraft, from which simultaneous measurements can be carried out using other instruments, when required. Following initial laboratory qualifications, two airborne campaigns involving nine flights were performed in 2014 and 2015 in the Southwest of France, over various types of land cover, including agricultural fields and forests. Some of these flights were made concurrently with in situ ground truth campaigns. Various preliminary applications for the characterisation of agricultural and forest areas are presented. Initial analysis of the data shows that the performance of the GLORI instrument is well within specifications, with a cross-polarization isolation better than −15 dB at all elevations above 45°, a relative polarimetric calibration accuracy better than 0.5 dB, and an apparent reflectivity sensitivity better than −30 dB, thus demonstrating its strong potential for the retrieval of land surface characteristics.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1424-8220
Relation: http://www.mdpi.com/1424-8220/16/5/732; https://doaj.org/toc/1424-8220
DOI: 10.3390/s16050732
Access URL: https://doaj.org/article/d2de390613da4f1d89d488836a8e4914
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  Data: GLORI: A GNSS-R Dual Polarization Airborne Instrument for Land Surface Monitoring
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  Data: <searchLink fieldCode="AR" term="%22Erwan+Motte%22">Erwan Motte</searchLink><br /><searchLink fieldCode="AR" term="%22Mehrez+Zribi%22">Mehrez Zribi</searchLink><br /><searchLink fieldCode="AR" term="%22Pascal+Fanise%22">Pascal Fanise</searchLink><br /><searchLink fieldCode="AR" term="%22Alejandro+Egido%22">Alejandro Egido</searchLink><br /><searchLink fieldCode="AR" term="%22José+Darrozes%22">José Darrozes</searchLink><br /><searchLink fieldCode="AR" term="%22Amen+Al-Yaari%22">Amen Al-Yaari</searchLink><br /><searchLink fieldCode="AR" term="%22Nicolas+Baghdadi%22">Nicolas Baghdadi</searchLink><br /><searchLink fieldCode="AR" term="%22Frédéric+Baup%22">Frédéric Baup</searchLink><br /><searchLink fieldCode="AR" term="%22Sylvia+Dayau%22">Sylvia Dayau</searchLink><br /><searchLink fieldCode="AR" term="%22Remy+Fieuzal%22">Remy Fieuzal</searchLink><br /><searchLink fieldCode="AR" term="%22Pierre-Louis+Frison%22">Pierre-Louis Frison</searchLink><br /><searchLink fieldCode="AR" term="%22Dominique+Guyon%22">Dominique Guyon</searchLink><br /><searchLink fieldCode="AR" term="%22Jean-Pierre+Wigneron%22">Jean-Pierre Wigneron</searchLink>
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  Data: Sensors, Vol 16, Iss 5, p 732 (2016)
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  Data: MDPI AG, 2016.
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  Data: LCC:Chemical technology
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  Data: <searchLink fieldCode="DE" term="%22soil+moisture%22">soil moisture</searchLink><br /><searchLink fieldCode="DE" term="%22vegetation%22">vegetation</searchLink><br /><searchLink fieldCode="DE" term="%22biomass%22">biomass</searchLink><br /><searchLink fieldCode="DE" term="%22airborne%22">airborne</searchLink><br /><searchLink fieldCode="DE" term="%22microwave%22">microwave</searchLink><br /><searchLink fieldCode="DE" term="%22L-Band%22">L-Band</searchLink><br /><searchLink fieldCode="DE" term="%22GPS%22">GPS</searchLink><br /><searchLink fieldCode="DE" term="%22reflectometry%22">reflectometry</searchLink><br /><searchLink fieldCode="DE" term="%22multistatic+radar%22">multistatic radar</searchLink><br /><searchLink fieldCode="DE" term="%22GNSS-R%22">GNSS-R</searchLink><br /><searchLink fieldCode="DE" term="%22Chemical+technology%22">Chemical technology</searchLink><br /><searchLink fieldCode="DE" term="%22TP1-1185%22">TP1-1185</searchLink>
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  Data: Global Navigation Satellite System-Reflectometry (GNSS-R) has emerged as a remote sensing tool, which is complementary to traditional monostatic radars, for the retrieval of geophysical parameters related to surface properties. In the present paper, we describe a new polarimetric GNSS-R system, referred to as the GLObal navigation satellite system Reflectometry Instrument (GLORI), dedicated to the study of land surfaces (soil moisture, vegetation water content, forest biomass) and inland water bodies. This system was installed as a permanent payload on a French ATR42 research aircraft, from which simultaneous measurements can be carried out using other instruments, when required. Following initial laboratory qualifications, two airborne campaigns involving nine flights were performed in 2014 and 2015 in the Southwest of France, over various types of land cover, including agricultural fields and forests. Some of these flights were made concurrently with in situ ground truth campaigns. Various preliminary applications for the characterisation of agricultural and forest areas are presented. Initial analysis of the data shows that the performance of the GLORI instrument is well within specifications, with a cross-polarization isolation better than −15 dB at all elevations above 45°, a relative polarimetric calibration accuracy better than 0.5 dB, and an apparent reflectivity sensitivity better than −30 dB, thus demonstrating its strong potential for the retrieval of land surface characteristics.
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  Data: http://www.mdpi.com/1424-8220/16/5/732; https://doaj.org/toc/1424-8220
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  Data: 10.3390/s16050732
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      – SubjectFull: soil moisture
        Type: general
      – SubjectFull: vegetation
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