An algorithm for the retrieval of sea surface wind fields using X-band TerraSAR-X data

被引:50
|
作者
Ren, Yongzheng [1 ,2 ]
Lehner, Susanne [3 ]
Brusch, Stephan [3 ]
Li, Xiaoming [3 ]
He, Mingxia [1 ]
机构
[1] Chinese Acad Sci, CEODE, Key Lab Digital Earth, Beijing 100094, Peoples R China
[2] Ocean Univ China, Ocean Remote Sensing Inst, Qingdao 266003, Peoples R China
[3] German Aerosp Ctr DLR, Remote Sensing Technol Inst IMF, D-82234 Oberpfaffenhofen, Wessling, Germany
关键词
SYNTHETIC-APERTURE RADAR; MICROWAVE BACKSCATTERING; OCEAN SURFACE; SAR IMAGES; C-BAND; SCATTEROMETER; POLARIZATION; SIGNATURES;
D O I
10.1080/01431161.2012.685977
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
TerraSAR-X (TS-X) is a new, fully polarized X-band synthetic aperture radar (SAR) satellite, which is a successor of the Spaceborne Imaging Radar X-band Synthetic Aperture Radar (SIR-X-SAR) and the SRTM. TS-X has provided high-quality image products over land and oceans for scientific and commercial users since its launch in June 2007. In this article, a new geophysical model function (GMF) is presented to retrieve sea surface wind speeds at a height of 10 m (U-10) based on TS-X data obtained with VV polarization in the ScanSAR, StripMap and Spotlight modes. The X-band GMF was validated by comparing the retrieved wind speeds from the TS-X data with in situ observations, the high-resolution limited area model (HIRLAM) and QuikSCAT scatterometer measurements. The bias and root mean square (RMS) values were 0.03 and 2.33 m s(-1), respectively, when compared with the co-located wind measurements derived from QuikSCAT. To apply the newly developed GMF to the TS-X data obtained in HH polarization, we analysed the C-band SAR polarization models and extended them to the X-band SAR data. The sea surface wind speeds were retrieved using the X-band GMF from pairs of TS-X images obtained in dual-polarization mode (i.e. VV and HH). The retrieved results were also validated by comparing with QuikSCAT measurements and the results of the German Weather Service (DWD) atmospheric model. The obtained RMS was 2.50 m s(-1) when compared with the co-located wind measurements derived from the QuikSCAT, and the absolute error was 2.24 m s(-1) when compared with DWD results.
引用
收藏
页码:7310 / 7336
页数:27
相关论文
共 50 条
  • [21] On classification of sea surface oil films using TerraSAR-X satellite polarization data
    D. V. Ivonin
    A. Yu. Ivanov
    Oceanology, 2017, 57 : 738 - 750
  • [22] Coastal Wind Field and Sea State Measured by TerraSAR-X
    Lehner, S.
    Brusch, S.
    Li, X.
    2009 IEEE RADAR CONFERENCE, VOLS 1 AND 2, 2009, : 100 - 102
  • [23] Potential of X-Band TerraSAR-X and COSMO-SkyMed SAR Data for the Assessment of Physical Soil Parameters
    Gorrab, Azza
    Zribi, Mehrez
    Baghdadi, Nicolas
    Mougenot, Bernard
    Chabaane, Zohra Lili
    REMOTE SENSING, 2015, 7 (01) : 747 - 766
  • [24] Rice identification using TerraSAR-X data
    Guo, Lin
    Pei, Zhiyuan
    Zhang, Songling
    Wang, Qingfa
    McNairn, Heather
    Shang, Jiali
    Jiao, Xianfeng
    REMOTE SENSING OF THE ENVIRONMENT: THE 17TH CHINA CONFERENCE ON REMOTE SENSING, 2011, 8203
  • [25] Method for soil moisture retrieval in arid prairie using TerraSAR-X data
    Bai, Xiaojing
    He, Binbin
    Xing, Minfeng
    Li, Xiaowen
    JOURNAL OF APPLIED REMOTE SENSING, 2015, 9
  • [26] SNOW PROPERTIES RETRIEVAL USING TERRASAR-X DUAL-POLARIZATION DATA
    Parrella, Giuseppe
    Della Corte, Annalisa
    Hajnsek, Irena
    Iodice, Antonio
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 4410 - 4413
  • [27] Snowpack Density Retrieval Using Fully Polarimetric TerraSAR-X Data in the Himalayas
    Singh, Gulab
    Verma, Ashutosh
    Kumar, Sanjeev
    Snehmani
    Ganju, Ashwagosha
    Yamaguchi, Yoshio
    Kulkarni, Anil V.
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2017, 55 (11): : 6320 - 6329
  • [28] Investigation of Ocean Surface Wave Refraction Using TerraSAR-X Data
    Li, Xiaoming
    Lehner, Susanne
    Rosenthal, Wolfgang
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2010, 48 (02): : 830 - 840
  • [29] On the analysis of a time series of X-band TerraSAR-X SAR imagery over oil seepages
    Nunziata, F.
    de Macedo, C. R.
    Buono, A.
    Velotto, D.
    Migliaccio, M.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2019, 40 (09) : 3623 - 3646
  • [30] SENSITIVITY OF TERRASAR X-BAND DATA TO SURFACE PARAMETERS IN BARE AGRICULTURAL AREAS
    Panciera, Rocco
    MacGill, Fiona
    Tanase, Mihai
    Lowell, Kim
    Walker, Jeffrey
    2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2013, : 751 - 754