Desert Roughness Retrieval Using CYGNSS GNSS-R Data
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-pol...
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ftdoajarticles:oai:doaj.org/article:bddbf2d7cafb4b63adbd31def3f98a13 2023-05-15T18:02:04+02:00 Desert Roughness Retrieval Using CYGNSS GNSS-R Data Donato Stilla Mehrez Zribi Nazzareno Pierdicca Nicolas Baghdadi Mireille Huc 2020-02-01T00:00:00Z https://doi.org/10.3390/rs12040743 https://doaj.org/article/bddbf2d7cafb4b63adbd31def3f98a13 EN eng MDPI AG https://www.mdpi.com/2072-4292/12/4/743 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs12040743 https://doaj.org/article/bddbf2d7cafb4b63adbd31def3f98a13 Remote Sensing, Vol 12, Iss 4, p 743 (2020) cygnss gnss-r alos-2 roughness aerodynamic roughness desert Science Q article 2020 ftdoajarticles https://doi.org/10.3390/rs12040743 2022-12-31T09:42:09Z 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 (Γ). 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 Γ measurements has been developed, at the relatively fine resolution of 0.03° × 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 (Z 0 ) map of the Sahara is proposed, using four distinct classes of terrain roughness. Article in Journal/Newspaper polar desert Directory of Open Access Journals: DOAJ Articles Remote Sensing 12 4 743 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
cygnss gnss-r alos-2 roughness aerodynamic roughness desert Science Q |
spellingShingle |
cygnss gnss-r alos-2 roughness aerodynamic roughness desert Science Q Donato Stilla Mehrez Zribi Nazzareno Pierdicca Nicolas Baghdadi Mireille Huc Desert Roughness Retrieval Using CYGNSS GNSS-R Data |
topic_facet |
cygnss gnss-r alos-2 roughness aerodynamic roughness desert Science Q |
description |
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 (Γ). 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 Γ measurements has been developed, at the relatively fine resolution of 0.03° × 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 (Z 0 ) map of the Sahara is proposed, using four distinct classes of terrain roughness. |
format |
Article in Journal/Newspaper |
author |
Donato Stilla Mehrez Zribi Nazzareno Pierdicca Nicolas Baghdadi Mireille Huc |
author_facet |
Donato Stilla Mehrez Zribi Nazzareno Pierdicca Nicolas Baghdadi Mireille Huc |
author_sort |
Donato Stilla |
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 |
MDPI AG |
publishDate |
2020 |
url |
https://doi.org/10.3390/rs12040743 https://doaj.org/article/bddbf2d7cafb4b63adbd31def3f98a13 |
genre |
polar desert |
genre_facet |
polar desert |
op_source |
Remote Sensing, Vol 12, Iss 4, p 743 (2020) |
op_relation |
https://www.mdpi.com/2072-4292/12/4/743 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs12040743 https://doaj.org/article/bddbf2d7cafb4b63adbd31def3f98a13 |
op_doi |
https://doi.org/10.3390/rs12040743 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
4 |
container_start_page |
743 |
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1766171745578909696 |