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

Nawaf Al-Mutairi; Mohammad Alsahli; Mahmoud Ibrahim; Rasha Abou Samra; Maie El-Gammal

doi:doi:10.11648/j.ajrs.20190701.12

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

Nawaf Al-Mutairi, Mohammad Alsahli, Mahmoud Ibrahim, Rasha Abou Samra, Maie El-Gammal

Published in American Journal of Remote Sensing (Volume 7, Issue 1)

Received: 7 August 2019 Accepted: 4 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.

Published in	American Journal of Remote Sensing (Volume 7, Issue 1)
DOI	10.11648/j.ajrs.20190701.12
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), 2019. Published by Science Publishing Group

Keywords

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

References

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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://article.sciencepublishinggroup.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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Author Information

Nawaf Al-Mutairi

Environmental Sciences Department, Faculty of Science, Damietta University, New Damietta, Egypt
Mohammad Alsahli

Department of Geography, Social Sciences College, Kuwait University, Shuwaikh, Kuwait
Mahmoud Ibrahim

Environmental Sciences Department, Faculty of Science, Damietta University, New Damietta, Egypt
Rasha Abou Samra

Environmental Sciences Department, Faculty of Science, Damietta University, New Damietta, Egypt
Maie El-Gammal

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://article.sciencepublishinggroup.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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