International Journal of Atmospheric and Oceanic Sciences

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The Challenges of River Bathymetry Survey Using Space Borne Remote Sensing in Bangladesh

Received: 16 November 2016    Accepted: 16 December 2016    Published: 16 January 2017
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Abstract

Over the last two decades there has been a revolution in our ability to map and monitor large areas of subaerial topography using technologies such as radar and near-infrared Light Detection and Ranging. The Multispectral Remote Sensing (RS) Satellite ‘WorldView-2’ imagery has the ability to measure water depth up to 25m. Studies have been conducted based on the band ratio algorithm to determine water depth in the study area the Ganges River in Bangladesh. This method is able to generate accurate depth measurements at points or along transects, and also offer more flexible, efficient and cost-effective means of mapping bathymetry over broad areas. There are two methods are available to derive bathymetry from remote sensing imagery which are “linear method” and “ratio method”. The linear method is depended upon bottom type albedo. While different bottom types at the same depth would be incorrectly calculated for one of these two substrates. The accuracy of the retrieved bathymetry varies with water depth, with the accuracy substantially lower at a depth beyond 12 m. Other influential factors and challenges include water turbidity and bottom materials, as well as image properties.

DOI 10.11648/j.ijaos.20170101.12
Published in International Journal of Atmospheric and Oceanic Sciences (Volume 1, Issue 1, December 2017)
Page(s) 7-13
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Remote Sensing, Bathymetry, Ratio Algorithm, Worldview-2, Linear Regression

References
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Author Information
  • Institute of Water Modelling (IWM), Dhaka, Bangladesh

  • Institute of Water Modelling (IWM), Dhaka, Bangladesh

  • Institute of Water Modelling (IWM), Dhaka, Bangladesh

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  • APA Style

    Md. Shafiqul Islam Khondoker, Md. Zahid Hasan Siddiquee, Md. Ashraful Islam. (2017). The Challenges of River Bathymetry Survey Using Space Borne Remote Sensing in Bangladesh. International Journal of Atmospheric and Oceanic Sciences, 1(1), 7-13. https://doi.org/10.11648/j.ijaos.20170101.12

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    ACS Style

    Md. Shafiqul Islam Khondoker; Md. Zahid Hasan Siddiquee; Md. Ashraful Islam. The Challenges of River Bathymetry Survey Using Space Borne Remote Sensing in Bangladesh. Int. J. Atmos. Oceanic Sci. 2017, 1(1), 7-13. doi: 10.11648/j.ijaos.20170101.12

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    AMA Style

    Md. Shafiqul Islam Khondoker, Md. Zahid Hasan Siddiquee, Md. Ashraful Islam. The Challenges of River Bathymetry Survey Using Space Borne Remote Sensing in Bangladesh. Int J Atmos Oceanic Sci. 2017;1(1):7-13. doi: 10.11648/j.ijaos.20170101.12

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  • @article{10.11648/j.ijaos.20170101.12,
      author = {Md. Shafiqul Islam Khondoker and Md. Zahid Hasan Siddiquee and Md. Ashraful Islam},
      title = {The Challenges of River Bathymetry Survey Using Space Borne Remote Sensing in Bangladesh},
      journal = {International Journal of Atmospheric and Oceanic Sciences},
      volume = {1},
      number = {1},
      pages = {7-13},
      doi = {10.11648/j.ijaos.20170101.12},
      url = {https://doi.org/10.11648/j.ijaos.20170101.12},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ijaos.20170101.12},
      abstract = {Over the last two decades there has been a revolution in our ability to map and monitor large areas of subaerial topography using technologies such as radar and near-infrared Light Detection and Ranging. The Multispectral Remote Sensing (RS) Satellite ‘WorldView-2’ imagery has the ability to measure water depth up to 25m. Studies have been conducted based on the band ratio algorithm to determine water depth in the study area the Ganges River in Bangladesh. This method is able to generate accurate depth measurements at points or along transects, and also offer more flexible, efficient and cost-effective means of mapping bathymetry over broad areas. There are two methods are available to derive bathymetry from remote sensing imagery which are “linear method” and “ratio method”. The linear method is depended upon bottom type albedo. While different bottom types at the same depth would be incorrectly calculated for one of these two substrates. The accuracy of the retrieved bathymetry varies with water depth, with the accuracy substantially lower at a depth beyond 12 m. Other influential factors and challenges include water turbidity and bottom materials, as well as image properties.},
     year = {2017}
    }
    

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    AU  - Md. Shafiqul Islam Khondoker
    AU  - Md. Zahid Hasan Siddiquee
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    AB  - Over the last two decades there has been a revolution in our ability to map and monitor large areas of subaerial topography using technologies such as radar and near-infrared Light Detection and Ranging. The Multispectral Remote Sensing (RS) Satellite ‘WorldView-2’ imagery has the ability to measure water depth up to 25m. Studies have been conducted based on the band ratio algorithm to determine water depth in the study area the Ganges River in Bangladesh. This method is able to generate accurate depth measurements at points or along transects, and also offer more flexible, efficient and cost-effective means of mapping bathymetry over broad areas. There are two methods are available to derive bathymetry from remote sensing imagery which are “linear method” and “ratio method”. The linear method is depended upon bottom type albedo. While different bottom types at the same depth would be incorrectly calculated for one of these two substrates. The accuracy of the retrieved bathymetry varies with water depth, with the accuracy substantially lower at a depth beyond 12 m. Other influential factors and challenges include water turbidity and bottom materials, as well as image properties.
    VL  - 1
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