LI Jiran, ZHANG Huaguo, HOU Pengfei, FU Bin, ZHENG Gang. Mapping the bathymetry of shallow coastal water using singleframe fine-resolution optical remote sensing imagery[J]. Acta Oceanologica Sinica, 2016, 35(1): 60-66. doi: 10.1007/s13131-016-0797-x
Citation: LI Jiran, ZHANG Huaguo, HOU Pengfei, FU Bin, ZHENG Gang. Mapping the bathymetry of shallow coastal water using singleframe fine-resolution optical remote sensing imagery[J]. Acta Oceanologica Sinica, 2016, 35(1): 60-66. doi: 10.1007/s13131-016-0797-x

Mapping the bathymetry of shallow coastal water using singleframe fine-resolution optical remote sensing imagery

doi: 10.1007/s13131-016-0797-x
  • Received Date: 2014-11-19
  • Rev Recd Date: 2015-05-13
  • This paper presents a bathymetry inversion method using single-frame fine-resolution optical remote sensing imagery based on ocean-wave refraction and shallow-water wave theory. First, the relationship among water depth, wavelength and wave radian frequency in shallow water was deduced based on shallow-water wave theory. Considering the complex wave distribution in the optical remote sensing imagery, Fast Fourier Transform (FFT) and spatial profile measurements were applied for measuring the wavelengths. Then, the wave radian frequency was calculated by analyzing the long-distance fluctuation in the wavelength, which solved a key problem in obtaining the wave radian frequency in a single-frame image. A case study was conducted for Sanya Bay of Hainan Island, China. Single-frame fine-resolution optical remote sensing imagery from QuickBird satellite was used to invert the bathymetry without external input parameters. The result of the digital elevation model (DEM) was evaluated against a sea chart with a scale of 1:25 000. The root-mean-square error of the inverted bathymetry was 1.07 m, and the relative error was 16.2%. Therefore, the proposed method has the advantages including no requirement for true depths and environmental parameters, and is feasible for mapping the bathymetry of shallow coastal water.
  • loading
  • Abileah R. 2013. Mapping near shore bathymetry using wave kinematics in a time series of worldview-2 satellite images. In: 2013 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Melbourne, VIC: IEEE, 2274-2277
    Adler-Golden S M, Acharya P K, Berk A, et al. 2005. Remote bathymetry of the littoral zone from AVIRIS, LASH, and QuickBird imagery. IEEE Transactions on Geoscience and Remote Sensing, 43(2): 337-347
    Alpers W, Hennings I. 1984. A theory of the imaging mechanism of underwater bottom topography by real and synthetic aperture radar. Journal of Geophysical Research, 89(C6): 10529-10546
    Calkoen C J, Hesselmans G H F M, Wensink G J, et al. 2001. The Bathymetry Assessment System: efficient depth mapping in shallow seas using radar images. International Journal of Remote Sensing, 22(15): 2973-2998
    Conger C L, Hochberg E J, Fletcher C H, et al. 2006. Decorrelating remote sensing color bands from bathymetry in optically shallow waters. IEEE Transactions on Geoscience and Remote Sensing, 44(6): 1655-1660
    Dean R G, Dalrymple R A. 1991. Water wave mechanics for engineers and scientists (Advanced Series on Ocean Engineering-Vol2). Singapore: World Scientific Publishing Company
    Feng Shizuo, Li Fengqi, Li Shaojing. 1999. Introduction to Marine Science (in Chinese). Beijing: Higher Education Press Huang Weigen, Fu Bin. 2004. A spaceborne SAR technique for shallow water bathymetry surveys. Journal of Coastal Research, S1(43): 223-228
    Kinsman B. 1984. Wind Waves: Their Generation and Propagation on the Ocean Surface. New York: Dover Publications Komar P D. 1997. Beach Processes and Sedimentation. 2nd ed. Upper
    Saddle River, New Jersey: Prentice Hall
    Lafon V, Froidefond J M, Lahet F, et al. 2002. SPOT shallow water ba-thymetry of a moderately turbid tidal inlet based on field measurments.
    Remote Sensing of Environment, 81(1): 136-148
    Leu L G, Kuo Y Y, Liu C T. 1999. Coastal bathymetry from the wave spectrum of SPOT images. Coastal Engineering Journal, 41(1): 21-41
    Li Xiaofeng, Yang Xiaofeng, Zheng Quanan, et al. 2010. Deep-water bathymetric features imaged by spaceborne SAR in the Gulf Stream region. Geophysical Research Letters, 37(19): L19603
    Lyzenga D R, Malinas N P, Tanis F J. 2006. Multispectral bathymetry using a simple physically based algorithm. IEEE Transactions on Geoscience and Remote Sensing, 44(8): 2251-2259
    Mie C C, Stiassnie M, Yue D K P. 2005. Theory and Applications of Ocean Surface Waves: Part 1: Linear Aspects. London: World Scientific
    Mishra M K, Ganguly D, Chauhan P, et al. 2014. Estimation of coastal bathymetry using RISAT-1 C-Band microwave SAR data. IEEE Geoscience and Remote Sensing Letters, 11(3): 671-675
    Myrick K B. 2011. Coastal bathymetry using satellite observation in support of intelligence preparation of the environment [dissertation].
    Monterey, California: Naval Postgraduate School Shao Hao, Li Yan, Li Li. 2014. Priori knowledge based a bathymetry assessment method using the sun glitter imagery: a case study of sand waves on the Taiwan Banks. Acta Oceanologica Sinica, 33(1): 120-126
    Shi Maochong. 2004. Physical Oceanography (in Chinese). Jinan: Shandong Education Press Splinter
    K D, Holman R A. 2009. Bathymetry estimation from singleframe images of nearshore waves. IEEE Transactions on Geoscience and Remote Sensing, 47(9): 3151-3160
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (1490) PDF downloads(1218) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return