Estimating Bathymetry of Cross River in Nigeria using Remote Sensing Technique

International Journal of Geoinformatics and Geological Science

© 2018 by SSRG - IJGGS Journal

Volume 5 Issue 3

Year of Publication : 2018

Authors : Akwaowo U. Ekpa, Oliver C. Ojinnaka

10.14445/23939206/IJGGS-V5I3P101

How to Cite?

Akwaowo U. Ekpa, Oliver C. Ojinnaka, "Estimating Bathymetry of Cross River in Nigeria using Remote Sensing Technique," SSRG International Journal of Geoinformatics and Geological Science, vol. 5,  no. 3, pp. 1-15, 2018. Crossref, https://doi.org/10.14445/23939206/IJGGS-V5I3P101

Abstract:

The orthodox sonar systems employed in charting the extensive and shallow coastal waters of Nigeria have been constrained by policies, cost implications, environmental hostilities, and failure to access shallow waters due to possible grounding, etc. Consequently, a large portion of Nigerian coastal waters has remained uncharted or un-updated. This paper discusses the application of satellite remote sensing method in near-shore bathymetry of a section of Cross River in Nigeria. The data employed are multispectral Landsat-7 ETM+, sounded depths, admiralty chart data and tidal data. Atmospheric correction of the satellite image was performed using Improved Image-Based Dark Object Subtraction (DOS) Model, while the Ratio Model was employed to estimate the bathymetric depths. The predicted tidal data was used to reduce the sounded depths and Landsat-derived depths to the same Chart datum for ease of evaluation. Validation of the Landsat-7 ETM+ derived depths with reduced sounded and chart depths yielded Coefficient of Determinations, R2 = 0.821 and 0.716 respectively. The results therefore show that the technique is reliable for rapid bathymetry and monitoring of near-shore coastal shallow waters, and consequently aid in charting the coastal rivers.

Keywords:

Bathymetry, Remote Sensing, Derived Image Depths, Coastal Waters, Landsat-7 ETM+, Cross River, Chart Depths.

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