Desert roughness retrieval using CYGNSS GNSS-R data
[Notes_IRSTEA]743 [Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-ATTOS International audience The aim of this paper is to assess the potential use of data recorded by the Global Navigation Satellite System Reflectometry (GNSS-R) Cyclone Global Navigation Satellite System (CYG...
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Online Access: | https://hal.inrae.fr/hal-02610241 https://hal.inrae.fr/hal-02610241/document https://hal.inrae.fr/hal-02610241/file/pub00064306.pdf https://doi.org/10.3390/rs12040743 |
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ftinraparis:oai:HAL:hal-02610241v1 2024-09-15T18:31:14+00:00 Desert roughness retrieval using CYGNSS GNSS-R data Stilla, D. Zribi, Mehrez Pierdicca, N. Baghdadi, Nicolas Huc, Mireille Centre d'études spatiales de la biosphère (CESBIO) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) Università degli Studi di Roma "La Sapienza" = Sapienza University Rome (UNIROMA) Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS) Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) 2020 https://hal.inrae.fr/hal-02610241 https://hal.inrae.fr/hal-02610241/document https://hal.inrae.fr/hal-02610241/file/pub00064306.pdf https://doi.org/10.3390/rs12040743 en eng HAL CCSD MDPI info:eu-repo/semantics/altIdentifier/doi/10.3390/rs12040743 hal-02610241 https://hal.inrae.fr/hal-02610241 https://hal.inrae.fr/hal-02610241/document https://hal.inrae.fr/hal-02610241/file/pub00064306.pdf doi:10.3390/rs12040743 IRSTEA: PUB00064306 WOS: 000519564600154 info:eu-repo/semantics/OpenAccess ISSN: 2072-4292 Remote Sensing https://hal.inrae.fr/hal-02610241 Remote Sensing, 2020, 12 (4), pp.1-16. ⟨10.3390/rs12040743⟩ GNSS-R DESERT CYGNSS AERODYNAMIC ROUGHNESS ALOS-2 [SDE]Environmental Sciences info:eu-repo/semantics/article Journal articles 2020 ftinraparis https://doi.org/10.3390/rs12040743 2024-08-06T14:07:03Z [Notes_IRSTEA]743 [Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-ATTOS International audience The aim of this paper is to assess the potential use of data recorded by the Global Navigation Satellite System Reflectometry (GNSS-R) Cyclone Global Navigation Satellite System (CYGNSS) constellation to characterize desert surface roughness. The study is applied over the Sahara, the largest non-polar desert in the world. This is based on a spatio-temporal analysis of variations in Cyclone Global Navigation Satellite System (CYGNSS) data, expressed as changes in reflectivity. In general, the reflectivity of each type of land surface (reliefs, dunes, etc.) encountered at the studied site is found to have a high temporal stability. A grid of CYGNSS measurements has been developed, at the relatively fine resolution of 0.03° x 0.03°, and the resulting map of average reflectivity, computed over a 2.5-year period, illustrates the potential of CYGNSS data for the characterization of the main types of desert land surface (dunes, reliefs, etc.). A discussion of the relationship between aerodynamic or geometric roughness and CYGNSS reflectivity is proposed. A high correlation is observed between these roughness parameters and reflectivity. The behaviors of the GNSS-R reflectivity and the Advanced Land Observing Satellite-2 (ALOS-2) Synthetic Aperture Radar (SAR) backscattering coefficient are compared and found to be strongly correlated. An aerodynamic roughness (Z0) map of the Sahara is proposed, using four distinct classes of terrain roughness. Article in Journal/Newspaper polar desert Institut National de la Recherche Agronomique: ProdINRA Remote Sensing 12 4 743 |
institution |
Open Polar |
collection |
Institut National de la Recherche Agronomique: ProdINRA |
op_collection_id |
ftinraparis |
language |
English |
topic |
GNSS-R DESERT CYGNSS AERODYNAMIC ROUGHNESS ALOS-2 [SDE]Environmental Sciences |
spellingShingle |
GNSS-R DESERT CYGNSS AERODYNAMIC ROUGHNESS ALOS-2 [SDE]Environmental Sciences Stilla, D. Zribi, Mehrez Pierdicca, N. Baghdadi, Nicolas Huc, Mireille Desert roughness retrieval using CYGNSS GNSS-R data |
topic_facet |
GNSS-R DESERT CYGNSS AERODYNAMIC ROUGHNESS ALOS-2 [SDE]Environmental Sciences |
description |
[Notes_IRSTEA]743 [Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-ATTOS International audience The aim of this paper is to assess the potential use of data recorded by the Global Navigation Satellite System Reflectometry (GNSS-R) Cyclone Global Navigation Satellite System (CYGNSS) constellation to characterize desert surface roughness. The study is applied over the Sahara, the largest non-polar desert in the world. This is based on a spatio-temporal analysis of variations in Cyclone Global Navigation Satellite System (CYGNSS) data, expressed as changes in reflectivity. In general, the reflectivity of each type of land surface (reliefs, dunes, etc.) encountered at the studied site is found to have a high temporal stability. A grid of CYGNSS measurements has been developed, at the relatively fine resolution of 0.03° x 0.03°, and the resulting map of average reflectivity, computed over a 2.5-year period, illustrates the potential of CYGNSS data for the characterization of the main types of desert land surface (dunes, reliefs, etc.). A discussion of the relationship between aerodynamic or geometric roughness and CYGNSS reflectivity is proposed. A high correlation is observed between these roughness parameters and reflectivity. The behaviors of the GNSS-R reflectivity and the Advanced Land Observing Satellite-2 (ALOS-2) Synthetic Aperture Radar (SAR) backscattering coefficient are compared and found to be strongly correlated. An aerodynamic roughness (Z0) map of the Sahara is proposed, using four distinct classes of terrain roughness. |
author2 |
Centre d'études spatiales de la biosphère (CESBIO) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) Università degli Studi di Roma "La Sapienza" = Sapienza University Rome (UNIROMA) Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS) Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) |
format |
Article in Journal/Newspaper |
author |
Stilla, D. Zribi, Mehrez Pierdicca, N. Baghdadi, Nicolas Huc, Mireille |
author_facet |
Stilla, D. Zribi, Mehrez Pierdicca, N. Baghdadi, Nicolas Huc, Mireille |
author_sort |
Stilla, D. |
title |
Desert roughness retrieval using CYGNSS GNSS-R data |
title_short |
Desert roughness retrieval using CYGNSS GNSS-R data |
title_full |
Desert roughness retrieval using CYGNSS GNSS-R data |
title_fullStr |
Desert roughness retrieval using CYGNSS GNSS-R data |
title_full_unstemmed |
Desert roughness retrieval using CYGNSS GNSS-R data |
title_sort |
desert roughness retrieval using cygnss gnss-r data |
publisher |
HAL CCSD |
publishDate |
2020 |
url |
https://hal.inrae.fr/hal-02610241 https://hal.inrae.fr/hal-02610241/document https://hal.inrae.fr/hal-02610241/file/pub00064306.pdf https://doi.org/10.3390/rs12040743 |
genre |
polar desert |
genre_facet |
polar desert |
op_source |
ISSN: 2072-4292 Remote Sensing https://hal.inrae.fr/hal-02610241 Remote Sensing, 2020, 12 (4), pp.1-16. ⟨10.3390/rs12040743⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.3390/rs12040743 hal-02610241 https://hal.inrae.fr/hal-02610241 https://hal.inrae.fr/hal-02610241/document https://hal.inrae.fr/hal-02610241/file/pub00064306.pdf doi:10.3390/rs12040743 IRSTEA: PUB00064306 WOS: 000519564600154 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.3390/rs12040743 |
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Remote Sensing |
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12 |
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