Polarimetric instrument Global Navigation Satellite System - Reflectometry airborne data

In this paper, three datasets are described. The first dataset is a complete set of GNSS-R (GNSS-R: Global Navigation Satellite System – Reflectometry) airborne data. This dataset has been generated with the data acquired with the GLObal Navigation Satellite System Reflectometry Instrument (GLORI) d...

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Main Authors: Karin Dassas, Pascal Fanise, Michel Le Page, Emna Ayari, Philippe Baillion, Mateo Sige, Aaron Boone, Mehrez Zribi
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340923009125
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author Karin Dassas
Pascal Fanise
Michel Le Page
Emna Ayari
Philippe Baillion
Mateo Sige
Aaron Boone
Mehrez Zribi
author_facet Karin Dassas
Pascal Fanise
Michel Le Page
Emna Ayari
Philippe Baillion
Mateo Sige
Aaron Boone
Mehrez Zribi
author_sort Karin Dassas
collection DOAJ
description In this paper, three datasets are described. The first dataset is a complete set of GNSS-R (GNSS-R: Global Navigation Satellite System – Reflectometry) airborne data. This dataset has been generated with the data acquired with the GLObal Navigation Satellite System Reflectometry Instrument (GLORI) developed at Centre d'Etudes Spatiales de la Biosphère (CESBIO), during the Land surface Interactions with the Atmosphere over the Iberian Semi-arid Environment (LIAISE) campaign in north-eastern Spain during the summer of 2021. It is the first time to our knowledge that a complete dataset of GNSS-R observables (reflectivity, incoherent component relative to the total scattering signal to noise ratio (SNR) for copolarized (right-right) and cross-polarized (right-left) measurements has been made available.The two other datasets are ground truth sets of measurements which have been acquired simultaneously with the flights. The in-situ measurements dataset consists in soil measurements (surface soil moisture, surface roughness, Leaf Area Index (LAI)) over 24 reference fields). The land use dataset provides a land use map (along with 385 ground truth plots) over the studied site for GLORI data evaluation.The combined datasets are particularly relevant for soil moisture and vegetation retrievals from GNSS-R observables, as well as studies for calibration and validation of bistatic empirical or physical models simulating coherent or incoherent components on agriculture sites, in the context of the preparation of future GNSS-R space missions, such as HydroGNSS, a European Space Agency mission, launch foreseen in 2024.The entire database is archived in the AERIS LIAISE database. One DOI is available for each of the 3 datasets (airborne GLORI dataset, in situ measurements dataset and land use dataset).
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spelling doaj.art-655b93edb40c4f64a308bfe3cf6f8cd02024-02-11T05:10:19ZengElsevierData in Brief2352-34092024-02-0152109850Polarimetric instrument Global Navigation Satellite System - Reflectometry airborne dataKarin Dassas0Pascal Fanise1Michel Le Page2Emna Ayari3Philippe Baillion4Mateo Sige5Aaron Boone6Mehrez Zribi7CESBIO1, University of Toulouse, CNES/CNRS/INRAE/IRD/UT3, 18 avenue Edouard Belin BPI 2801 31401 Toulouse Cedex 9, France; Corresponding author.CESBIO1, University of Toulouse, CNES/CNRS/INRAE/IRD/UT3, 18 avenue Edouard Belin BPI 2801 31401 Toulouse Cedex 9, FranceCESBIO1, University of Toulouse, CNES/CNRS/INRAE/IRD/UT3, 18 avenue Edouard Belin BPI 2801 31401 Toulouse Cedex 9, FranceCESBIO1, University of Toulouse, CNES/CNRS/INRAE/IRD/UT3, 18 avenue Edouard Belin BPI 2801 31401 Toulouse Cedex 9, France; National Agronomic Institute of Tunisia, Carthage University, 43 Av. Charles Nicolle, Tunis 1082, TunisiaCESBIO1, University of Toulouse, CNES/CNRS/INRAE/IRD/UT3, 18 avenue Edouard Belin BPI 2801 31401 Toulouse Cedex 9, FranceCESBIO1, University of Toulouse, CNES/CNRS/INRAE/IRD/UT3, 18 avenue Edouard Belin BPI 2801 31401 Toulouse Cedex 9, FranceCNRM University of Toulouse, Météo-France/CNRS, 42 avenue Gaspard Coriolis, 31057 Toulouse Cedex 1, FranceCESBIO1, University of Toulouse, CNES/CNRS/INRAE/IRD/UT3, 18 avenue Edouard Belin BPI 2801 31401 Toulouse Cedex 9, FranceIn this paper, three datasets are described. The first dataset is a complete set of GNSS-R (GNSS-R: Global Navigation Satellite System – Reflectometry) airborne data. This dataset has been generated with the data acquired with the GLObal Navigation Satellite System Reflectometry Instrument (GLORI) developed at Centre d'Etudes Spatiales de la Biosphère (CESBIO), during the Land surface Interactions with the Atmosphere over the Iberian Semi-arid Environment (LIAISE) campaign in north-eastern Spain during the summer of 2021. It is the first time to our knowledge that a complete dataset of GNSS-R observables (reflectivity, incoherent component relative to the total scattering signal to noise ratio (SNR) for copolarized (right-right) and cross-polarized (right-left) measurements has been made available.The two other datasets are ground truth sets of measurements which have been acquired simultaneously with the flights. The in-situ measurements dataset consists in soil measurements (surface soil moisture, surface roughness, Leaf Area Index (LAI)) over 24 reference fields). The land use dataset provides a land use map (along with 385 ground truth plots) over the studied site for GLORI data evaluation.The combined datasets are particularly relevant for soil moisture and vegetation retrievals from GNSS-R observables, as well as studies for calibration and validation of bistatic empirical or physical models simulating coherent or incoherent components on agriculture sites, in the context of the preparation of future GNSS-R space missions, such as HydroGNSS, a European Space Agency mission, launch foreseen in 2024.The entire database is archived in the AERIS LIAISE database. One DOI is available for each of the 3 datasets (airborne GLORI dataset, in situ measurements dataset and land use dataset).http://www.sciencedirect.com/science/article/pii/S2352340923009125L1-bandIncoherent componentSoil moistureVegetationLand useLIAISE
spellingShingle Karin Dassas
Pascal Fanise
Michel Le Page
Emna Ayari
Philippe Baillion
Mateo Sige
Aaron Boone
Mehrez Zribi
Polarimetric instrument Global Navigation Satellite System - Reflectometry airborne data
Data in Brief
L1-band
Incoherent component
Soil moisture
Vegetation
Land use
LIAISE
title Polarimetric instrument Global Navigation Satellite System - Reflectometry airborne data
title_full Polarimetric instrument Global Navigation Satellite System - Reflectometry airborne data
title_fullStr Polarimetric instrument Global Navigation Satellite System - Reflectometry airborne data
title_full_unstemmed Polarimetric instrument Global Navigation Satellite System - Reflectometry airborne data
title_short Polarimetric instrument Global Navigation Satellite System - Reflectometry airborne data
title_sort polarimetric instrument global navigation satellite system reflectometry airborne data
topic L1-band
Incoherent component
Soil moisture
Vegetation
Land use
LIAISE
url http://www.sciencedirect.com/science/article/pii/S2352340923009125
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