XMOD2-An improved geophysical model function to retrieve sea surface wind fields from Cosmo-SkyMed X-band data

被引：24

作者：

Nirchio, Francesco ^{[1
]}

Venafra, Sara ^{[2
]}

机构：

[1] Agenzia Spaziale Italiana, Geodesy Space Ctr, I-75100 Matera, Italy

[2] Politecn Bari, I-70125 Bari, Italy

来源：

EUROPEAN JOURNAL OF REMOTE SENSING | 2013年 / 46卷

关键词：

SAR; Wind; X-Band; XMOD2; SPACE; SAR;

D O I：

10.5721/EuJRS20134634

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

This paper presents a semi-empirical geophysical model function to retrieve wind fields from SAR data acquired by the Italian satellite constellation COSMO-SkyMed (CSK). The model is suitable for X-band data with vertical VV polarization. A data set of more than 300 CSK images has been used for the model coefficients estimation. QuikSCAT and Global Forecast System analysis data have been used for model development. The validation of the results has been carried out with a new data set of 24 images acquired over three oceanographic buoys. The agreement between the wind model and in situ data is quite satisfactory. We consider the present results adequate for a large variety of applications.

引用

页码：583 / 595

页数：13

共 9 条

[1] Application of state-of-the-art SAR X-band geophysical model functions (GMFs) for sea surface wind (SSW) speed retrieval to a data set of the Italian satellite mission COSMO-SkyMed
Grieco, G.
Nirchio, F.
Migliaccio, M.
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2015, 36 (09) : 2296 - 2312
[2] ON THE AZIMUTH CUT-OFF WIND SPEED ESTIMATION FOR X-BAND COSMO-SKYMED SAR DATA
Montuori, A.
Migliaccio, M.
Nunziata, F.
2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 2817 - 2820
[3] Investigating the Relationship between X-Band SAR Data from COSMO-SkyMed Satellite and NDVI for LAI Detection
Capodici, Fulvio
D'Urso, Guido
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REMOTE SENSING, 2013, 5 (03) : 1389 - 1404
[4] PRELIMINARY MODEL FOR WIND ESTIMATION FROM COSMO/SKYMED X BAND SAR DATA
Nirchio, F.
Venafra, S.
2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2010, : 3462 - 3465
[5] Sea wave modeling with X-band COSMO-SkyMed© SAR-derived wind field forcing and applications in coastal vulnerability assessment
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Montuori, A.
Migliaccio, M.
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OCEAN SCIENCE, 2013, 9 (02) : 325 - 341
[6] Development of X-Band Geophysical Model Function for Sea Surface Wind Speed Retrieval with ASNARO-2
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[7] An algorithm for the retrieval of sea surface wind fields using X-band TerraSAR-X data
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INTERNATIONAL JOURNAL OF REMOTE SENSING, 2012, 33 (23) : 7310 - 7336
[8] An Empirical Mode Decomposition Method for Sea Surface Wind Measurements From X-Band Nautical Radar Data
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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2017, 55 (11): : 6218 - 6227
[9] Sea Surface Wind Speed Retrieval From TerraSAR-X HH Polarization Data Using an Improved Polarization Ratio Model
Shao, Weizeng
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Li, Xiaoming
Wang, Weili
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2016, 9 (11) : 4991 - 4997

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