Bathymetry of shallow coastal regions derived from space-borne hyperspectral sensor

被引:0
|
作者
Lee, ZhongPing [1 ]
Casey, Brandon [1 ]
Parsons, Rost [1 ]
Goode, Wesley [1 ]
Weidemann, Alan [1 ]
Arnone, Robert [1 ]
机构
[1] USN, Res Lab, Stennis Space Ctr, MS 39529 USA
来源
关键词
D O I
暂无
中图分类号
P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
Hyperion is a hyperspectral sensor on board NASA's EO-1 satellite. Its spatial resolution is about 30 meters with a swath of similar to 7 Km. Though Hyperion was not designed for ocean studies, its unique spectral configuration (430 nm - 2400 nm with a similar to 10nm step) makes it especially attractive to study the effectiveness of such kind of sensor for observing complex coastal waters. In this study, Hyperion data over two sites of the Florida coasts were acquired, with one focused on the clear Key West waters, and the other focused on the relatively turbid Tampa Bay waters. From both data sets, water properties and bottom bathymetry were simultaneously derived from atmosphere corrected Hyperion data using a spectral matching technique. More importantly, in the top-to-bottom processing of Hyperion data, there was no use of any a prior or ground truth information. For the Key West site, derived bathymetry and water properties were validated with NAVOCEA NO CHARTS (active bathymetric LIDAR system) and field measurements, respectively. It is found that the retrieved depths (in a range of similar to 1 - 20 in) match LIDAR depths very well (similar to 15% average error), indicating significant potential of using hyperspectral satellite sensor for efficient and repetitive observation of shallow coastal regions.
引用
收藏
页码:2160 / 2170
页数:11
相关论文
共 50 条
  • [31] Space-Borne Cloud-Native Satellite-Derived Bathymetry (SDB) Models Using ICESat-2 And Sentinel-2
    Thomas, N.
    Pertiwi, A. P.
    Traganos, D.
    Lagomasino, D.
    Poursanidis, D.
    Moreno, S.
    Fatoyinbo, L.
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2021, 48 (06)
  • [32] Coastal Bathymetry from Hyperspectral Remote Sensing Data: Comparisons with High Resolution Multibeam Bathymetry
    Michelle L. McIntyre
    David F. Naar
    Kendall L. Carder
    Brian T. Donahue
    David J. Mallinson
    [J]. Marine Geophysical Researches, 2006, 27 : 129 - 136
  • [33] Ionospheric Electron Density Reconstruction Based on Space-Borne SAR in Alaska Regions
    Wang, Cheng
    Wang, Li-Ming
    Zhao, Hai-Sheng
    Xiao, Peng
    Chen, Liang
    Cao, Le
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2024, 21
  • [34] Coastal bathymetry from hyperspectral remote sensing data: comparisons with high resolution multibeam bathymetry
    McIntyre, Michelle L.
    Naar, David F.
    Carder, Kendall L.
    Donahue, Brian T.
    Mallinson, David J.
    [J]. MARINE GEOPHYSICAL RESEARCHES, 2006, 27 (02) : 128 - 136
  • [35] Comparison Analysis of Recognition Algorithms of Forest-Cover Objects on Hyperspectral Air-Borne and Space-Borne Images
    V. V. Kozoderov
    T. V. Kondranin
    E. V. Dmitriev
    [J]. Izvestiya, Atmospheric and Oceanic Physics, 2017, 53 : 1132 - 1141
  • [36] Comparison Analysis of Recognition Algorithms of Forest-Cover Objects on Hyperspectral Air-Borne and Space-Borne Images
    Kozoderov, V. V.
    Kondranin, T. V.
    Dmitriev, E. V.
    [J]. IZVESTIYA ATMOSPHERIC AND OCEANIC PHYSICS, 2017, 53 (09) : 1132 - 1141
  • [37] ANALYSIS OF SPACE-BORNE DATA FOR COASTAL ZONE INFORMATION EXTRACTION OF GOA COAST, INDIA
    KUNTE, PD
    WAGLE, BG
    [J]. OCEAN & COASTAL MANAGEMENT, 1994, 22 (03) : 187 - 200
  • [38] Mapping coral reef benthic substrates using hyperspectral space-borne images and spectral libraries
    Kutser, Tiit
    Miller, Ian
    Jupp, David L. B.
    [J]. ESTUARINE COASTAL AND SHELF SCIENCE, 2006, 70 (03) : 449 - 460
  • [39] Imaging Spectroscopy of Forest Ecosystems: Perspectives for the Use of Space-borne Hyperspectral Earth Observation Systems
    Hill, Joachim
    Buddenbaum, Henning
    Atownsend, Philip
    [J]. SURVEYS IN GEOPHYSICS, 2019, 40 (03) : 553 - 588
  • [40] Hyperspectral imaging of coastal regions from the ISS
    Mosher, TJ
    Mitchell, ML
    [J]. ACTIVE AND PASSIVE REMOTE SENSING OF THE OCEANS, 2005, 5656 : 128 - 138