High resolution wind fields from satellite borne SAR

被引:0
|
作者
Horstmann, J [1 ]
Koch, W [1 ]
König, T [1 ]
Lehner, S [1 ]
机构
[1] GKSS Forschungszentrum Geesthacht GmbH, D-21503 Geesthacht, Germany
关键词
synthetic aperture radar; wind fields; backscatter; ENVISAT; RADARSAT; ERS;
D O I
10.1117/12.511440
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
An algorithm is introduced, which is designed to retrieve high-resolution wind fields from C-band synthetic aperture radars (SAR) operating at both vertical and horizontal polarization. The wind directions are extracted from wind-induced streaks, which are approximately in line with the mean wind direction near to the ocean surface. The wind speeds are derived from the normalized radar cross section (NRCS) and image geometry of the calibrated SAR images, together with the local wind direction retrieved from the image. Therefore, the semi empirical C-band model CMOD4, which describes the dependency of the NRCS on wind and image geometry, is used. The CMOD4 was originally developed for the scatterometer of the European remote sensing satellites ERS-1 and 2 operating at C-band with vertical polarization. Consequently CMOD4 requires modification for horizontal polarization, which is performed by considering the polarization ratio. To verify the algorithm, wind fields were computed from the European satellites ERS-1/2 and ENVISAT SAR as well as the Canadian satellite RADARSAT-1 and compared to results from numerical models and a scatterometer.
引用
收藏
页码:118 / 125
页数:8
相关论文
共 50 条
  • [1] High resolution wind fields retrieved from SAR in comparison to numerical models
    Horstmann, J
    Koch, W
    Lehner, S
    [J]. IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET, 2002, : 1877 - 1879
  • [2] STATISTICAL EMULATION OF HIGH-RESOLUTION SAR WIND FIELDS FROM LOW-RESOLUTION MODEL PREDICTIONS
    He, Liyun
    Chapron, Bertrand
    Tournadre, Jean
    Fablet, Ronan
    [J]. 2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014, : 3914 - 3917
  • [3] Signature of the Agulhas Current in high resolution satellite derived wind fields
    Krug, M.
    Schilperoort, D.
    Collard, F.
    Hansen, M. W.
    Rouault, M.
    [J]. REMOTE SENSING OF ENVIRONMENT, 2018, 217 : 340 - 351
  • [4] The use of satellite derived wind data in high-resolution regional ocean surface wind fields
    Gemmill, WH
    Peters, CA
    [J]. CONFERENCE ON COASTAL OCEANIC AND ATMOSPHERIC PREDICTION, 1996, : 397 - 400
  • [5] THE IMPACT OF OCEAN SURFACE FEATURES ON THE HIGH RESOLUTION WIND RETRIEVAL FROM SAR
    Yang, Xiaofeng
    Li, Xiaofeng
    Li, Ziwei
    Pichel, William
    [J]. 2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2011, : 1327 - 1329
  • [6] Comparison of high-resolution wind fields extracted from TerraSAR-X SAR imagery with predictions from the WRF mesoscale model
    Thompson, Donald R.
    Horstmann, Jochen
    Mouche, Alexis
    Winstead, Nathaniel S.
    Sterner, Raymond
    Monaldo, Francis M.
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2012, 117
  • [7] Snow cover maps with satellite borne SAR
    Pettinato, Simone
    Malnes, Eirik
    Haarpaintner, Jorg
    [J]. 2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, 2006, : 735 - +
  • [8] A NOVEL HIGH RESOLUTION OPTICAL SAR PROCESSOR FOR SATELLITE APPLICATIONS
    Zhao, Penghao
    Wang, Kaizhi
    Liu, Xingzhao
    [J]. 2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2013, : 2900 - 2903
  • [9] Semiautomatic assignment of high resolution wind directions in SAR images
    Koch, W
    [J]. OCEANS 2000 MTS/IEEE - WHERE MARINE SCIENCE AND TECHNOLOGY MEET, VOLS 1-3, CONFERENCE PROCEEDINGS, 2000, : 1775 - 1782
  • [10] A SYSTEMS LOOK AT SATELLITE-BORNE HIGH-RESOLUTION RADAR
    GREENBERG, JS
    [J]. RCA REVIEW, 1967, 28 (04): : 679 - +