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    Home > Biochemistry News > Biotechnology News > Research progress on water depth remote sensing inversion

    Research progress on water depth remote sensing inversion

    • Last Update: 2021-09-03
    • Source: Internet
    • Author: User
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    Recently, Dr.


    Coral reefs are an important part of the marine ecosystem


    However, most of the space-borne high spatial resolution satellite data (spatial resolution less than or equal to 10 m )


    Researchers took advantage of the band setting advantages of Landsat-8 (spatial resolution equal to 30 m ) and the high spatial resolution of high spatial resolution satellite data to establish a downscaled bathymetric mapping approach ( DBMA )


    The application shows that the water when clean water respectively (Paracel in China and the United States Oahu example), at 0 ~ 12 m in the range of root mean square error values is less than the inversion depth 2 m , and 4 ~ The accuracy in the range of 12 m is better than the empirical model for calibration of measured water depth data; when the water body is turbid water (take Luhuitou Peninsula as an example), the root mean square error of the water depth inversion value is less than 2 m , and is within 3~ The accuracy in the range of 5 m is better than the empirical model for calibration of measured water depth data


    Research on the effect of scale difference shows that the difference in scale between Landsat-8 pixels and pixels from high-resolution satellite data has a limited impact on the model's inversion accuracy


    The research results can make full use of the advantages of domestic high-resolution satellite data to extract high spatial resolution water depth information of typical islands and reefs in the South China Sea in optical shallow water areas, and study the underwater topography of islands and reefs


    This research consists of the National Science and Technology Fundamental Resources Survey Project (2018FY100100) , the Southern Ocean Science and Engineering Guangdong Laboratory (Guangzhou) Talent Introduction Project ( GML2019ZD0602 ), the Guangdong Innovation and Entrepreneurship Team Project ( 2019BT02H594 ), and the Guangdong Provincial Conference Key Laboratory of Remote Sensing ( 2017B030301005 ) and the National Natural Science Foundation of China (41876136, 42076190, 41901352) and other projects


    Related paper information: https://doi.


    Figure 1 Technical roadmap of DBMA

    Figure 2 Water depth inversion map of some areas of Oahu and Paracel Islands

    Figure 3 Inversion of water depth in part of Luhuitou Peninsula

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