We present a discussion about the performances of two different methods to derive the wind field from SAR images. These are the method based on the Continuous Wavelet Transform (CWT2) (Zecchetto & De Biasio 2002, 2007) and on the estimation of the Local Gradient (LG) (Koch 2004). The CWT2 method extracts the backscatter signatures in the SAR image likely related to the structure of the marine atmospheric boundary layer; it derives the aliased wind direction from direction of the major axis of the cells-like detected structures and then resolves the ambiguity looking at the backscatter distribution inside them. The LG method divides the image into sub images, depending on the space grid over which the wind is requested; then it defines four image operators which are applied on the images to produce a map of valid points on which the local gradient directions are computed. The local wind direction is orthogonal to the more frequent gradient direction. The wind intensity is computed applying the CMOD4 or CMOD5 models for C-band scatterometer. The results of the two methods are compared with satellite scatterometer winds. They are relevant to ERS images taken over the Mediterranean Sea.

Similarities and differences of SAR derived wind fields using two different methods: The local gradient and the continuous wavelet transform methods

Stefano Zecchetto;F De Biasio;
2008

Abstract

We present a discussion about the performances of two different methods to derive the wind field from SAR images. These are the method based on the Continuous Wavelet Transform (CWT2) (Zecchetto & De Biasio 2002, 2007) and on the estimation of the Local Gradient (LG) (Koch 2004). The CWT2 method extracts the backscatter signatures in the SAR image likely related to the structure of the marine atmospheric boundary layer; it derives the aliased wind direction from direction of the major axis of the cells-like detected structures and then resolves the ambiguity looking at the backscatter distribution inside them. The LG method divides the image into sub images, depending on the space grid over which the wind is requested; then it defines four image operators which are applied on the images to produce a map of valid points on which the local gradient directions are computed. The local wind direction is orthogonal to the more frequent gradient direction. The wind intensity is computed applying the CMOD4 or CMOD5 models for C-band scatterometer. The results of the two methods are compared with satellite scatterometer winds. They are relevant to ERS images taken over the Mediterranean Sea.
2008
Istituto di Scienze dell'Atmosfera e del Clima - ISAC
Inglese
H. Lacoste ; L. Ouwehand
European Space Agency, (Special Publication) ESA SP
The 2nd International Workshop on Advances in SAR Oceanography from ENVISAT and ERS missions
978-92-9221-220-9
ESA Communication Production Office, ESTEC
Noordwijk
PAESI BASSI
No
21-25 January 2008
Frascati, Italy
Local gradient
SAR
Sea wind
Wavelet
4
none
Zecchetto, Stefano; Nirchio, F; DE BIASIO, Francesco; Di Tomaso, S
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/429601
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