JO Young-Heon, SHA Jin, KWON Jae-Il, JUN Kicheon, PARK Jinku. Mapping bathymetry based on waterlines observed from low altitude Helikite remote sensing platform[J]. Acta Oceanologica Sinica, 2015, 34(9): 110-116. doi: 10.1007/s13131-015-0730-8
Citation: JO Young-Heon, SHA Jin, KWON Jae-Il, JUN Kicheon, PARK Jinku. Mapping bathymetry based on waterlines observed from low altitude Helikite remote sensing platform[J]. Acta Oceanologica Sinica, 2015, 34(9): 110-116. doi: 10.1007/s13131-015-0730-8

Mapping bathymetry based on waterlines observed from low altitude Helikite remote sensing platform

doi: 10.1007/s13131-015-0730-8
  • Received Date: 2014-11-04
  • Rev Recd Date: 2015-02-03
  • Mapping shoreline changes along coastal regions is critically important in monitoring continuously rising sea surface heights due to climate change and frequent severe storms. Thus, it is especially important if the region has very high tidal ranges over very gentle tidal flats, which is a very vulnerable region. Although the various remote sensing platforms can be used to map shoreline changes, the spatial and temporal resolutions are not enough to obtain it for a short time. Accordingly, in this study we introduce the newly developed low altitude Helikite remote sensing platform to achieve much better resolutions of shorelines and a bathymetry. The Helikite stands for Helium balloon and Kite, which is a kind of aerial platform that uses the advantages of both a Helium balloon and a kite. Field experiments were conducted in the Jaebu Island, off the coast of the west Korean Peninsula in January 29, 2011. In order to extract shorelines from the consecutive images taken by the low altitude Helikite remote sensing platform, active contours without edges (ACWE) is used. Edges or boundaries exist primarily on places between one type of objective and the other. Since the hydrodynamic pressure has an effect everywhere, the locations of the waterlines can be the isobath lines. We could map several waterlines, which would enable us to complete a local bathymetry map ranges from 35 to 60 cm depth. The error resulting from applying ACWE algorithm to the imagery to determine the waterline is approximately less than 1 m. Therefore, it is very unique way to obtain such high resolutions of bathymetry with high accuracy for the regions of extremely high tidal ranges for a short time.
  • loading
  • Chan T F, Vese L A. 2001. Active contours without edges. IEEE Transactions on Image Processing, 10(2): 266-277
    Chen L C. 1998. Detection of shoreline changes for tideland areas using multi-temporal satellite images. International Journal of Remote Sensing, 19(17): 3383-3397
    Foody G M, Muslim A M, Atkinson P M. 2005. Super-resolution mapping of the waterline from remotely sensed data. International Journal of Remote Sensing, 26(24): 5381-5392
    Frazier P S, Page K J. 2000. Water body detection and delineation with Landsat TM data. Photogrammetric Engineering and Remote Sensing, 66(12): 1461-1467
    Frouin R, Schwindling M, Deschamps P Y. 1996. Spectral reflectance of sea foam in the visible and near-infrared: in situ measurements and remote sensing implications. Journal of Geophysical Research, 101(C6): 14361-14371
    Kemper G, Celikoyan T M, Altan M O, et al. 2003. Balloon-photogrammetry for cultural heritage. In: 4th International Symposium Remote Sensing of Urban Areas, 27-29 June 2003, Regensburg, Germany
    Lee Y K, Ryu J H, Choi J K, et al. 2011. A study of decadal sedimentation trend changes by waterline comparisons within the Ganghwa tidal flats initiated by human activities. Journal of Coastal Research, 27(5): 857-869
    Liu X, Zhang Z, Peterson J, et al. 2007. The effect of LiDAR data density on DEM accuracy. In: Proceedings of International Congress on Modelling and Simulation (MODSIM07), Christchurch, New Zealand, 1363-1369
    Lohani B, Mason D C. 1999. Construction of a digital elevation model of the Holderness Coast using the waterline method and Airborne Thematic Mapper data. International Journal of Remote Sensing, 20(3): 593-607
    Manavalan P, Sathyanath P, Rajegowda G L. 1993. Digital image analysis techniques to estimate waterspread for capacity evaluations of reservoirs. Photogrammetric Engineering and Remote Sensing, 59(9): 1389-1395
    Mason D C, Davenport I J, Robinson G J, et al. 1995. Construction of an inter-tidal digital elevation model by the “water-line” method. Geophysical Research Letters, 22(23): 3187-3190
    Mason D C, Davenport I J. 1996. Accurate and efficient determination of the shoreline in ERS-1 SAR images. IEEE Transactions on Geoscience and Remote Sensing, 34(5): 1243-1253
    Miyamoto M, Yoshino K, Nagano T, et al. 2004. Use of balloon aerial photography for classification of Kushiro wetland vegetation, Northeastern Japan. Wetlands, 24(3): 701-710
    Niedermeier A, Hoja D, Lehner S. 2005. Topography and morphodynamics in the German Bight using SAR and optical remote sensing data. Ocean Dynamics, 55(2): 100-109
    Ryu J H, Won J S, Min K D. 2002. Waterline extraction from Landsat TM data in a tidal flat: a case study in Gomso Bay, Korea. Remote Sensing of Environment, 83(3): 442-456
    Sklaver B A, Manangan A, Bullard S, et al. 2006. Rapid imagery through kite aerial photography in a complex humanitarian emergency. International Journal of Remote Sensing, 27(21-22): 4709-4714
    Thomas D P, Gupta S C, Bauer M E, et al. 2005. Airborne laser scanning for riverbank erosion assessment. Remote Sensing of Environment, 95(4): 493-501
    White K, El Asmar H M. 1999. Monitoring changing position of coastlines using Thematic Mapper imagery, an example from the Nile delta. Geomorphology, 29(1-2): 93-105
    Work E A, Gilmer D S. 1976. Utilization of satellite data for inventorying prairie ponds and lakes. Photogrammetric Engineering and Remote Sensing, 42(5): 685-694
    Yamano H, Shimazaki H, Matsunaga T, et al. 2006. Evaluation of various satellite sensors for waterline extraction in a coral reef environment: Majuro Atoll, Marshall Islands. Geomorphology, 82(3-4): 398-411
    Zhao Bin, Guo Haiqiang, Yan Yaner, et al. 2008. A simple waterline approach for tidelands using multi-temporal satellite images: A case study in the Yangtze Delta. Coastal and Shelf Science, 77(1): 134-142
  • 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 (1171) PDF downloads(1490) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return