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Quantification of the relationship between sea surface roughness and the size of the glistening zone for GNSS-R

Yan, Qingyun; Huang, Weimin; Foti, Giuseppe ORCID: https://orcid.org/0000-0002-1507-2133. 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). 237-241. 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
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Programmes:
NOC Programmes > Marine Physics and Ocean Climate
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