Quantification of the relationship between sea surface roughness and the size of the glistening zone for GNSS-R
Quantification of the relationship between sea surface roughness and the size of the glistening zone for GNSS-R
A formulation of the relationship between sea-surface roughness and extension of the glistening zone (GZ) of a Global Navigation Satellite System Reflectometry (GNSS-R) system is presented. First, an analytical expression of the link between GZ area, viewing geometry, and surface mean square slope (MSS) is derived. Then, a strategy for retrieval of surface roughness from the delay-Doppler map (DDM) is illustrated, including details of data preprocessing, quality control, and GZ area estimation from the DDM. Next, an example for application of the proposed approach to spaceborne GNSS-R remote sensing is provided, using DDMs from the TechDemoSat-1 mission. The algorithm is first calibrated using collocated in situ roughness estimates using data sets from the National Data Buoy Center, its retrieval performance is then assessed, and some of the limitations of the suggested technique are discussed. Overall, good correlation is found between buoy-derived MSS and estimates obtained using the proposed strategy (r=0.73). © 2017 IEEE.
237-241
Yan, Qingyun
69e515bf-54ec-4f2d-903b-d4ecaef6a0a8
Huang, Weimin
db6a376d-5824-4b96-9b13-dd8e6af3bade
Foti, Giuseppe
d77b7bb4-b489-4fce-b5d7-d2f983c8509f
1 February 2018
Yan, Qingyun
69e515bf-54ec-4f2d-903b-d4ecaef6a0a8
Huang, Weimin
db6a376d-5824-4b96-9b13-dd8e6af3bade
Foti, Giuseppe
d77b7bb4-b489-4fce-b5d7-d2f983c8509f
Yan, Qingyun, Huang, Weimin and Foti, Giuseppe
(2018)
Quantification of the relationship between sea surface roughness and the size of the glistening zone for GNSS-R.
IEEE Geoscience and Remote Sensing Letters, 15 (2), .
(doi:10.1109/LGRS.2017.2782728).
Abstract
A formulation of the relationship between sea-surface roughness and extension of the glistening zone (GZ) of a Global Navigation Satellite System Reflectometry (GNSS-R) system is presented. First, an analytical expression of the link between GZ area, viewing geometry, and surface mean square slope (MSS) is derived. Then, a strategy for retrieval of surface roughness from the delay-Doppler map (DDM) is illustrated, including details of data preprocessing, quality control, and GZ area estimation from the DDM. Next, an example for application of the proposed approach to spaceborne GNSS-R remote sensing is provided, using DDMs from the TechDemoSat-1 mission. The algorithm is first calibrated using collocated in situ roughness estimates using data sets from the National Data Buoy Center, its retrieval performance is then assessed, and some of the limitations of the suggested technique are discussed. Overall, good correlation is found between buoy-derived MSS and estimates obtained using the proposed strategy (r=0.73). © 2017 IEEE.
Text
MSSGZ-letter-v4
- Accepted Manuscript
More information
Accepted/In Press date: 9 December 2017
e-pub ahead of print date: 29 December 2017
Published date: 1 February 2018
Identifiers
Local EPrints ID: 417779
URI: http://eprints.soton.ac.uk/id/eprint/417779
ISSN: 1545-598X
PURE UUID: bcf6a82d-bc33-44b6-a452-38e6181ffa84
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Date deposited: 14 Feb 2018 17:30
Last modified: 16 Mar 2024 06:13
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Author:
Qingyun Yan
Author:
Weimin Huang
Author:
Giuseppe Foti
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