Sea Surface Monostatic and Bistatic EM Scattering Using SSA-1 and UAVSAR Data: Numerical Evaluation and Comparison Using Different Sea Spectra

The microwave scatterometer is one of the most effective instruments in ocean remote sensing, which urges the need for some theoretical models to accurately estimate the scattering coefficient of the sea surface. For the simulation of the scattering from an ocean surface, the sea spectrum, or its in...

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Main Authors: Honglei Zheng, Ali Khenchaf, Yunhua Wang, Helmi Ghanmi, Yanmin Zhang, Chaofang Zhao
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Remote Sensing
Subjects:
SSA
Online Access:http://www.mdpi.com/2072-4292/10/7/1084
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spelling doaj-6aa9d595a99e4e0da78a103e3c6246892020-11-24T21:56:59ZengMDPI AGRemote Sensing2072-42922018-07-01107108410.3390/rs10071084rs10071084Sea Surface Monostatic and Bistatic EM Scattering Using SSA-1 and UAVSAR Data: Numerical Evaluation and Comparison Using Different Sea SpectraHonglei Zheng0Ali Khenchaf1Yunhua Wang2Helmi Ghanmi3Yanmin Zhang4Chaofang Zhao5College of Information Science and Engineering, Ocean University of China, 238 Songling road, Qingdao 266100, ChinaLab-STICC, UMR CNRS 6285, ENSTA Bretagne, 2 rue Francois Verny, 29806 Brest CEDEX 9, FranceCollege of Information Science and Engineering, Ocean University of China, 238 Songling road, Qingdao 266100, ChinaLab-STICC, UMR CNRS 6285, ENSTA Bretagne, 2 rue Francois Verny, 29806 Brest CEDEX 9, FranceCollege of Information Science and Engineering, Ocean University of China, 238 Songling road, Qingdao 266100, ChinaCollege of Information Science and Engineering, Ocean University of China, 238 Songling road, Qingdao 266100, ChinaThe microwave scatterometer is one of the most effective instruments in ocean remote sensing, which urges the need for some theoretical models to accurately estimate the scattering coefficient of the sea surface. For the simulation of the scattering from an ocean surface, the sea spectrum, or its inverse Fourier transform, autocorrelation function is essential. Currently, many sea spectral models have been proposed for describing sea waves. However, which spectrum should be adopted during electromagnetic (EM) computations? A systematic comparison of these models is needed to evaluate their accuracies. In this paper, we focus on numerical simulations of scattering from a rough sea surface in monostatic and bistatic configurations by using six different sea spectral models and the first-order small slope approximation (SSA-1). First, sea spectral models proposed by Elfouhaily et al., Hwang et al., Romeiser et al., Apel et al., Fung et al., and Pierson et al., are compared with each other from different points of view, e.g., the omnidirectional parts, the angular spreading functions, the autocorrelation functions, and the slope variances. We find that the spectra given by Elfouhaily and Hwang could reflect realistic wind sea waves more accurately. Then, the scattering coefficients are simulated in fully monostatic and bistatic configurations. Regarding the monostatic scattering, the results simulated using EM scattering models are compared with those obtained from the measured UAVSAR data in the L band and the empirical model CMOD5 in the C band. Comparisons are made for various incident angles, wind speeds, and wind directions. Meanwhile, special attention is paid to low to moderate incident angles. The comparisons show that, it is difficult to find one certain spectral model to simulate scattering coefficient accurately under all wind speeds or wind directions. Accurate estimations will be obtained using different methods according to different situations.http://www.mdpi.com/2072-4292/10/7/1084EM scatteringEM scattering coefficientSSAsea spectrumUAVSARCMOD5
collection DOAJ
language English
format Article
sources DOAJ
author Honglei Zheng
Ali Khenchaf
Yunhua Wang
Helmi Ghanmi
Yanmin Zhang
Chaofang Zhao
spellingShingle Honglei Zheng
Ali Khenchaf
Yunhua Wang
Helmi Ghanmi
Yanmin Zhang
Chaofang Zhao
Sea Surface Monostatic and Bistatic EM Scattering Using SSA-1 and UAVSAR Data: Numerical Evaluation and Comparison Using Different Sea Spectra
Remote Sensing
EM scattering
EM scattering coefficient
SSA
sea spectrum
UAVSAR
CMOD5
author_facet Honglei Zheng
Ali Khenchaf
Yunhua Wang
Helmi Ghanmi
Yanmin Zhang
Chaofang Zhao
author_sort Honglei Zheng
title Sea Surface Monostatic and Bistatic EM Scattering Using SSA-1 and UAVSAR Data: Numerical Evaluation and Comparison Using Different Sea Spectra
title_short Sea Surface Monostatic and Bistatic EM Scattering Using SSA-1 and UAVSAR Data: Numerical Evaluation and Comparison Using Different Sea Spectra
title_full Sea Surface Monostatic and Bistatic EM Scattering Using SSA-1 and UAVSAR Data: Numerical Evaluation and Comparison Using Different Sea Spectra
title_fullStr Sea Surface Monostatic and Bistatic EM Scattering Using SSA-1 and UAVSAR Data: Numerical Evaluation and Comparison Using Different Sea Spectra
title_full_unstemmed Sea Surface Monostatic and Bistatic EM Scattering Using SSA-1 and UAVSAR Data: Numerical Evaluation and Comparison Using Different Sea Spectra
title_sort sea surface monostatic and bistatic em scattering using ssa-1 and uavsar data: numerical evaluation and comparison using different sea spectra
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2018-07-01
description The microwave scatterometer is one of the most effective instruments in ocean remote sensing, which urges the need for some theoretical models to accurately estimate the scattering coefficient of the sea surface. For the simulation of the scattering from an ocean surface, the sea spectrum, or its inverse Fourier transform, autocorrelation function is essential. Currently, many sea spectral models have been proposed for describing sea waves. However, which spectrum should be adopted during electromagnetic (EM) computations? A systematic comparison of these models is needed to evaluate their accuracies. In this paper, we focus on numerical simulations of scattering from a rough sea surface in monostatic and bistatic configurations by using six different sea spectral models and the first-order small slope approximation (SSA-1). First, sea spectral models proposed by Elfouhaily et al., Hwang et al., Romeiser et al., Apel et al., Fung et al., and Pierson et al., are compared with each other from different points of view, e.g., the omnidirectional parts, the angular spreading functions, the autocorrelation functions, and the slope variances. We find that the spectra given by Elfouhaily and Hwang could reflect realistic wind sea waves more accurately. Then, the scattering coefficients are simulated in fully monostatic and bistatic configurations. Regarding the monostatic scattering, the results simulated using EM scattering models are compared with those obtained from the measured UAVSAR data in the L band and the empirical model CMOD5 in the C band. Comparisons are made for various incident angles, wind speeds, and wind directions. Meanwhile, special attention is paid to low to moderate incident angles. The comparisons show that, it is difficult to find one certain spectral model to simulate scattering coefficient accurately under all wind speeds or wind directions. Accurate estimations will be obtained using different methods according to different situations.
topic EM scattering
EM scattering coefficient
SSA
sea spectrum
UAVSAR
CMOD5
url http://www.mdpi.com/2072-4292/10/7/1084
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