American Journal of Remote Sensing

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Spatial Enhancement of DEM Using Interpolation Methods: A Case Study of Kuwait’s Coastal Zones

Received: 07 August 2019    Accepted: 04 September 2019    Published: 19 September 2019
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Abstract

Digital elevation models (DEMs) are essential tools utilized in several branches of science, including environmental, geological, and geospatial studies. Unfortunately, high-accuracy DEM data such as LiDAR are not publicly available, and the coverage is limited. Therefore, the use of alternative methods, such as interpolation techniques (i.e., kriging, inverse distance weighting, radial basis functions), is greatly advantageous for the production of enhanced DEMs. The results of this study show that interpolated DEMs had minimal errors (RMSE = 1.44) with an increase of about 28% from the original DEM. However, the spatial resolution of interpolated DEM data was enhanced significantly by 83%. The deterministic interpolation methods provided more accurate estimations for producing DEMs in the coastal zones of Kuwait than geostatistical interpolation methods. The reference elevation data were collected using GPS and accurate topographic maps (1:25,000), and elevation points from the interpolated DEM were matched significantly (R2 = 0.88; R2 = 94, respectively). Given the lack of accurate DEM data, the interpolated DEM produced in this study are held in high regard and highly recommended for use in the coastal zone of Kuwait.

DOI 10.11648/j.ajrs.20190701.12
Published in American Journal of Remote Sensing (Volume 7, Issue 1, June 2019)
Page(s) 5-12
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

Digital Elevation Model, Sea Level Rise, Coastal Zone, Interpolation, GIS

References
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Author Information
  • Environmental Sciences Department, Faculty of Science, Damietta University, New Damietta, Egypt

  • Department of Geography, Social Sciences College, Kuwait University, Shuwaikh, Kuwait

  • Environmental Sciences Department, Faculty of Science, Damietta University, New Damietta, Egypt

  • Environmental Sciences Department, Faculty of Science, Damietta University, New Damietta, Egypt

  • Environmental Sciences Department, Faculty of Science, Damietta University, New Damietta, Egypt

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  • APA Style

    Nawaf Al-Mutairi, Mohammad Alsahli, Mahmoud Ibrahim, Rasha Abou Samra, Maie El-Gammal. (2019). Spatial Enhancement of DEM Using Interpolation Methods: A Case Study of Kuwait’s Coastal Zones. American Journal of Remote Sensing, 7(1), 5-12. https://doi.org/10.11648/j.ajrs.20190701.12

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    ACS Style

    Nawaf Al-Mutairi; Mohammad Alsahli; Mahmoud Ibrahim; Rasha Abou Samra; Maie El-Gammal. Spatial Enhancement of DEM Using Interpolation Methods: A Case Study of Kuwait’s Coastal Zones. Am. J. Remote Sens. 2019, 7(1), 5-12. doi: 10.11648/j.ajrs.20190701.12

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    AMA Style

    Nawaf Al-Mutairi, Mohammad Alsahli, Mahmoud Ibrahim, Rasha Abou Samra, Maie El-Gammal. Spatial Enhancement of DEM Using Interpolation Methods: A Case Study of Kuwait’s Coastal Zones. Am J Remote Sens. 2019;7(1):5-12. doi: 10.11648/j.ajrs.20190701.12

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  • @article{10.11648/j.ajrs.20190701.12,
      author = {Nawaf Al-Mutairi and Mohammad Alsahli and Mahmoud Ibrahim and Rasha Abou Samra and Maie El-Gammal},
      title = {Spatial Enhancement of DEM Using Interpolation Methods: A Case Study of Kuwait’s Coastal Zones},
      journal = {American Journal of Remote Sensing},
      volume = {7},
      number = {1},
      pages = {5-12},
      doi = {10.11648/j.ajrs.20190701.12},
      url = {https://doi.org/10.11648/j.ajrs.20190701.12},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajrs.20190701.12},
      abstract = {Digital elevation models (DEMs) are essential tools utilized in several branches of science, including environmental, geological, and geospatial studies. Unfortunately, high-accuracy DEM data such as LiDAR are not publicly available, and the coverage is limited. Therefore, the use of alternative methods, such as interpolation techniques (i.e., kriging, inverse distance weighting, radial basis functions), is greatly advantageous for the production of enhanced DEMs. The results of this study show that interpolated DEMs had minimal errors (RMSE = 1.44) with an increase of about 28% from the original DEM. However, the spatial resolution of interpolated DEM data was enhanced significantly by 83%. The deterministic interpolation methods provided more accurate estimations for producing DEMs in the coastal zones of Kuwait than geostatistical interpolation methods. The reference elevation data were collected using GPS and accurate topographic maps (1:25,000), and elevation points from the interpolated DEM were matched significantly (R2 = 0.88; R2 = 94, respectively). Given the lack of accurate DEM data, the interpolated DEM produced in this study are held in high regard and highly recommended for use in the coastal zone of Kuwait.},
     year = {2019}
    }
    

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  • TY  - JOUR
    T1  - Spatial Enhancement of DEM Using Interpolation Methods: A Case Study of Kuwait’s Coastal Zones
    AU  - Nawaf Al-Mutairi
    AU  - Mohammad Alsahli
    AU  - Mahmoud Ibrahim
    AU  - Rasha Abou Samra
    AU  - Maie El-Gammal
    Y1  - 2019/09/19
    PY  - 2019
    N1  - https://doi.org/10.11648/j.ajrs.20190701.12
    DO  - 10.11648/j.ajrs.20190701.12
    T2  - American Journal of Remote Sensing
    JF  - American Journal of Remote Sensing
    JO  - American Journal of Remote Sensing
    SP  - 5
    EP  - 12
    PB  - Science Publishing Group
    SN  - 2328-580X
    UR  - https://doi.org/10.11648/j.ajrs.20190701.12
    AB  - Digital elevation models (DEMs) are essential tools utilized in several branches of science, including environmental, geological, and geospatial studies. Unfortunately, high-accuracy DEM data such as LiDAR are not publicly available, and the coverage is limited. Therefore, the use of alternative methods, such as interpolation techniques (i.e., kriging, inverse distance weighting, radial basis functions), is greatly advantageous for the production of enhanced DEMs. The results of this study show that interpolated DEMs had minimal errors (RMSE = 1.44) with an increase of about 28% from the original DEM. However, the spatial resolution of interpolated DEM data was enhanced significantly by 83%. The deterministic interpolation methods provided more accurate estimations for producing DEMs in the coastal zones of Kuwait than geostatistical interpolation methods. The reference elevation data were collected using GPS and accurate topographic maps (1:25,000), and elevation points from the interpolated DEM were matched significantly (R2 = 0.88; R2 = 94, respectively). Given the lack of accurate DEM data, the interpolated DEM produced in this study are held in high regard and highly recommended for use in the coastal zone of Kuwait.
    VL  - 7
    IS  - 1
    ER  - 

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