Exploration of the Sea Surface Wind Speed Retrieval from the Geosynchronous Synthetic Aperture Radar

被引:0
|
作者
Zhou, Lizhang [1 ,2 ]
Yang, Jingsong [1 ,2 ]
Zheng, Gang [2 ]
Zhang, Yanmin [3 ]
Ren, Lin [2 ]
Chen, Peng [2 ]
机构
[1] Zhejiang Univ, Ocean Coll, Zhoushan 316021, Peoples R China
[2] Minist Nat Resources, State Key Lab Satellite Ocean Environm Dynam, Inst Oceanog 2, Hangzhou 310012, Peoples R China
[3] Ocean Univ China, Sch Informat Sci & Engn, Qingdao 266100, Peoples R China
关键词
D O I
10.1109/PIERS53385.2021.9695028
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
At present, the spaceborne synthetic aperture radars (SARs) are all carried on low earth orbit (LEO) satellites. Therefore, the coverage area of LEO SARs is small and the revisit period is long. In order to overcome the LEO SAR's shortcomings, the concept of the geosynchronous synthetic aperture radar (GEO SAR) comes into being. Compared with the LEO SAR, the GEO SAR can achieve a higher temporal resolution and thus can conduct frequent observations over a large area for a long time due to the high orbit (similar to 36000 km). The above advantages make the GEO SAR has a great benefit to monitoring the natural disasters and marine environment. The sea surface wind speed is one of the basic elements of the marine dynamic environment and can be retrieved from the LEO SAR imagery. Therefore, it is necessary to explore the potential of the GEO SAR in the sea surface wind speed retrieval. Since there is no GEO SAR on orbit so far, our study is based on the simulated GEO SAR images. By comparing with the input sea surface wind speeds in the simulation, we found that the C-band model function for equivalent neutral wind (CMOD5.N) still work for the simulated GEO SAR images. However, there is a certain difference between the input wind speeds and the retrieved wind speeds by CMOD5.N when the incidence angle is too large or small. Although it may be caused by the accuracy of the simulation, we fine-tuned the parameters in CMOD5.N by the least square method with the simulated GEO SAR images and the corresponding input wind speeds instead, as there are no real GEO SAR images till now. The evaluations of the sea surface wind speeds retrieved by the GEO SAR CMOD5.N were presented in the end.
引用
收藏
页码:2217 / 2220
页数:4
相关论文
共 50 条
  • [1] Sea Surface Wind Speed Retrieval From Textures in Synthetic Aperture Radar Imagery
    Zhou, Lizhang
    Zheng, Gang
    Yang, Jingsong
    Li, Xiaofeng
    Zhang, Bin
    Wang, He
    Chen, Peng
    Wang, Yan
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [2] Analysis on the variational model of synthetic aperture radar sea surface wind retrieval
    Jiang Zhu-Hui
    Zhou Xiao-Zhong
    You Xiao-Bao
    Yi Xin
    Huang Wei-Quan
    [J]. ACTA PHYSICA SINICA, 2014, 63 (14)
  • [3] A new research on sea surface wind direction retrieval of synthetic aperture radar image
    Jiang Zhu-Hui
    Huang Si-Xun
    Shi Han-Qing
    Zhang Wei
    Wang Biao
    [J]. ACTA PHYSICA SINICA, 2011, 60 (10)
  • [4] Oceanic Application of Satellite Synthetic Aperture Radar - Focused on Sea Surface Wind Retrieval -
    Jang, Jae-Cheol
    Park, Kyung-Ae
    [J]. JOURNAL OF THE KOREAN EARTH SCIENCE SOCIETY, 2019, 40 (05): : 447 - 463
  • [5] SEA SURFACE WIND RETRIEVAL FROM SYNTHETIC APERTURE RADAR DATA BY DEEP CONVOLUTIONAL NEURAL NETWORKS
    Shen, Dongliang
    Liu, Bin
    Li, Xiaofeng
    [J]. 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 8035 - 8038
  • [6] Upwelling region wind speed correction method for wind retrieval from synthetic aperture radar imagery in the East China Sea
    Chang, Junfang
    Huang, Weigen
    Lou, Xiulin
    Shi, Aiqin
    [J]. JOURNAL OF APPLIED REMOTE SENSING, 2012, 6
  • [7] Retrieval of Sea Surface Wind Speed by One-Dimensional Synthetic Aperture Microwave Radiometer
    艾未华
    冯梦延
    陆文
    马烁
    陈冠宇
    [J]. Journal of Tropical Meteorology, 2021, 27 (01) : 62 - 69
  • [8] Retrieval of Sea Surface Wind Speed by One-Dimensional Synthetic Aperture Microwave Radiometer
    Ai Wei-hua
    Feng Meng-yan
    Lu Wen
    Ma Shuo
    Chen Guan-yu
    [J]. JOURNAL OF TROPICAL METEOROLOGY, 2021, 27 (01) : 62 - 69
  • [9] Effect of Precipitation on the Wind Retrieval from Synthetic Aperture Radar
    Yu, Shui
    Yang, Jingsong
    He, Shuangyan
    Ren, Lin
    He, Zhiguo
    [J]. 2016 9TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2016), 2016, : 608 - 612
  • [10] Retrieval of wind speed using an L-band Synthetic Aperture Radar
    Monaldo, Frank M.
    Thompson, Donald R.
    Christiansen, Merete Bruun
    [J]. IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, : 1338 - 1341