The Potential of Landsat 8 OLI Images in Coastline Identification: The Case Study of Basra, Iraq

Authors

  • Hamzah Tahir Geoinformation Department, Faculty of Built Environment and Surveying, University Technology Malaysia, Malaysia
  • Ami Hassan Md. Din Geoinformation Department, Faculty of Built Environment and Surveying, University Technology Malaysia, Malaysia
Volume: 14 | Issue: 1 | Pages: 13041-13046 | February 2024 | https://doi.org/10.48084/etasr.6580

Abstract

Coastline extraction plays important functions in coastal resource management, natural resource preservation, and sustainable coastal development. Long-term records of Landsat data series are available for free downloading, being highly potential for coastline extraction. Furthermore, remote sensing imagery systems along with the application of digital image processing techniques can be utilized in coastline extraction. However, it is challenging to accurately extract coastlines with coarse spatial resolution due to the dynamic properties of various types of coastlines produced by sea-level changes from tides and storms. Moreover, the use of conventional surveys and the need for high-resolution images involve substantial costs and efforts, especially when coastlines of long distances are involved. The current study compared the accuracy of extracting coastlines from Landsat 8 OLI with the observed coastlines from GPS data. In particular, this study focused on distinguishing water areas from non-water areas on the coastline of a selected concrete port. The analysis involved the use of both MNDWI and NDWI indexes. The statistical results demonstrated the accuracy of MNDWI (RMSE of 2.363) and NDWI (RMSE of 2.491 m), which suggested the potential of using Landsat 8 OLI in coastline identification.

Keywords:

Landsat 8 OLI; remote sensing

Downloads

Download data is not yet available.

References

T. Acharya and I. Yang, "Exploring Landsat 8," International Journal of IT, Engineering and Applied Sciences Research, vol. 4, no. 4, pp. 4–10, May 2015.

L. J. Moore, "Shoreline Mapping Techniques," Journal of Coastal Research, vol. 16, no. 1, pp. 111–124, 2000.

M. K. Villareal and A. F. Tongco, "Remote Sensing Techniques for Classification and Mapping of Sugarcane Growth," Engineering, Technology & Applied Science Research, vol. 10, no. 4, pp. 6041–6046, Aug. 2020.

R. Aedla, G. S. Dwarakish, and D. V. Reddy, "Automatic Shoreline Detection and Change Detection Analysis of Netravati-GurpurRivermouth Using Histogram Equalization and Adaptive Thresholding Techniques," Aquatic Procedia, vol. 4, pp. 563–570, Jan. 2015.

R. S. Dewi, W. Bijker, A. Stein, and M. A. Marfai, "Fuzzy Classification for Shoreline Change Monitoring in a Part of the Northern Coastal Area of Java, Indonesia," Remote Sensing, vol. 8, no. 3, Mar. 2016, Art. no. 190.

W. Li and P. Gong, "Continuous monitoring of coastline dynamics in western Florida with a 30-year time series of Landsat imagery," Remote Sensing of Environment, vol. 179, pp. 196–209, Jun. 2016.

E. H. Boak and I. L. Turner, "Shoreline Definition and Detection: A Review," Journal of Coastal Research, vol. 21, no. 4, pp. 688–703, 2005.

G. M. Foody, A. M. Muslim, and P. M. Atkinson, "Super‐resolution mapping of the waterline from remotely sensed data," International Journal of Remote Sensing, vol. 26, no. 24, pp. 5381–5392, Dec. 2005.

M. V. Japitana and M. E. C. Burce, "A Satellite-based Remote Sensing Technique for Surface Water Quality Estimation," Engineering, Technology & Applied Science Research, vol. 9, no. 2, pp. 3965–3970, Apr. 2019.

J. E. Pardo-Pascual, J. Almonacid-Caballer, L. A. Ruiz, and J. Palomar-Vázquez, "Automatic extraction of shorelines from Landsat TM and ETM+ multi-temporal images with subpixel precision," Remote Sensing of Environment, vol. 123, pp. 1–11, Aug. 2012.

Y. Liu, X. Wang, F. Ling, S. Xu, and C. Wang, "Analysis of Coastline Extraction from Landsat-8 OLI Imagery," Water, vol. 9, no. 11, Nov. 2017, Art. no. 816.

J. Almonacid-Caballer, E. Sánchez-García, J. E. Pardo-Pascual, A. A. Balaguer-Beser, and J. Palomar-Vázquez, "Evaluation of annual mean shoreline position deduced from Landsat imagery as a mid-term coastal evolution indicator," Marine Geology, vol. 372, pp. 79–88, Feb. 2016.

V. Kumar et al., "GIS-Based Analysis of a Rainwater Harvesting System in the Multipurpose Hall of Quaid-e-Awam University of Engineering, Science, and Technology," Engineering, Technology & Applied Science Research, vol. 12, no. 4, pp. 8837–8842, Aug. 2022.

I. Al-abboodi, A. Hamoody, and S. Saleh, "Geotechnical Features of Basrah City, Iraq," Basrah Journal for Engineering Sciences, vol. 20, pp. 1–7, Mar. 2020.

A. Mohammed et al., "A Landscape of Research on Bus Driver Behavior: Taxonomy, Open Challenges, Motivations, Recommendations, Limitations, and Pathways Solution in Future," IEEE Access, vol. 9, pp. 139896–139927, 2021.

S. N. Abdulwahid, M. A. Mahmoud, H. M. Gheni, S. A. Mostafa, and A. Mohammed, "A Systematic Review on Motorcyclists’ Aggressive Behavior Analysis Using Computational Models: Current State, Challenges, and Recommendations," Journal of Theoretical and Applied Information Technology, vol. 100, no. 16, pp. 5032–5055, Aug. 2022.

C. Wolff et al., "A Mediterranean coastal database for assessing the impacts of sea-level rise and associated hazards," Scientific Data, vol. 5, no. 1, Mar. 2018, Art. no. 180044.

B. Aiazzi, S. Baronti, and M. Selva, "Improving Component Substitution Pansharpening Through Multivariate Regression of MS +Pan Data," IEEE Transactions on Geoscience and Remote Sensing, vol. 45, no. 10, pp. 3230–3239, Jul. 2007.

I. Amro, J. Mateos, M. Vega, R. Molina, and A. K. Katsaggelos, "A survey of classical methods and new trends in pansharpening of multispectral images," EURASIP Journal on Advances in Signal Processing, vol. 2011, no. 1, Sep. 2011, Art. no. 79.

Q. Xu, Y. Zhang, and B. Li, "Recent advances in pansharpening and key problems in applications," International Journal of Image and Data Fusion, vol. 5, no. 3, pp. 175–195, Jul. 2014.

K. K. Lwin and Y. Murayama, "Evaluation of land cover classification based on multispectral versus pansharpened landsat ETM+ imagery," GIScience & Remote Sensing, vol. 50, no. 4, pp. 458–472, Aug. 2013.

T. Wang et al., "Geometric Accuracy Validation for ZY-3 Satellite Imagery," IEEE Geoscience and Remote Sensing Letters, vol. 11, no. 6, pp. 1168–1171, Jun. 2014.

A. Mohammed and M. R. M. Yazid, "Differences of Malaysian Bus Drivers Behaviours in Speeding, Acceleration and Deceleration Under Various Driving Conditions," International Journal of Mechanical Engineering, vol. 7, no. 1, pp. 1812–1820, 2022.

A. H. Alamoodi et al., "A systematic review into the assessment of medical apps: motivations, challenges, recommendations and methodological aspect," Health and Technology, vol. 10, no. 5, pp. 1045–1061, Sep. 2020.

J. Jong-Song and C. Jong-Hun, "Application Effect Analysis of Image Fusion Methods for Extraction of Shoreline in Coastal Zone Using Landsat ETM+," International Journal of Atmospheric and Oceanic Sciences, vol. 1, no. 1, pp. 1–6, Dec. 2017.

S. K. McFeeters, "The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features," International Journal of Remote Sensing, vol. 17, no. 7, pp. 1425–1432, May 1996.

M. A. M. Alghamdi and A. Z. E. A. Bishta, "Preliminary Site Investigation based on RGB Electromagnetic Energy of Landsat-7 Images in Wadi Fayidah, Saudi Arabia," Engineering, Technology & Applied Science Research, vol. 13, no. 2, pp. 10595–10600, Apr. 2023.

H. Xu, "Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery," International Journal of Remote Sensing, vol. 27, no. 14, pp. 3025–3033, Jul. 2006.

D. Athmania and H. Achour, "External Validation of the ASTER GDEM2, GMTED2010 and CGIAR-CSI- SRTM v4.1 Free Access Digital Elevation Models (DEMs) in Tunisia and Algeria," Remote Sensing, vol. 6, no. 5, pp. 4600–4620, May 2014.

Downloads

How to Cite

[1]
H. Tahir and A. H. M. Din, “The Potential of Landsat 8 OLI Images in Coastline Identification: The Case Study of Basra, Iraq”, Eng. Technol. Appl. Sci. Res., vol. 14, no. 1, pp. 13041–13046, Feb. 2024.

Metrics

Abstract Views: 49
PDF Downloads: 66

Metrics Information