Bathymetry mapping using VNREDSAT-1 image: A case study in Ninh Hai coast, Ninh Thuan province of Vietnam

La Van Khin, Tong Phuoc Hoang Son, Nguyen Huu Huan, Pham Ba Trung
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Authors

  • La Van Khin Journal of Marine Science and Technology
  • Tong Phuoc Hoang Son
  • Nguyen Huu Huan
  • Pham Ba Trung

DOI:

https://doi.org/10.15625/1859-3097/19/4A/14605

Keywords:

VNREDSAT-1, bathymetry mapping, multiple regression, Ninh Hai coast.

Abstract

Bathymetry mapping of coastal zones is one of the minimum requirements to serve related activities as marine management, transportation, construction and scientific application. However, the traditional method of direct measurement in the fields meets problems of time consuming, manpower and money. Applying remote sensing techniques to establish bathymetry in shallow water is an effective method to overcome the traditional problems. The objective of this study is to use VNREDSAT-1 data to map the bathymetry in a coastal region of Vietnam and Ninh Hai coast was selected as a case study in this research. The image was acquired on September 4th, 2013 and preprocessed through atmospheric correction using 6S model and sun glint removal by Hedley method. A total of 3,642 collected data points were divided into two parts, the first part of 2,810 points used to build up the model and the rest of 832 points for validation. The model used is based on multiple regression methods with four independent variables as four bands and a dependent variable as water depth. The results show that the models got high accuracy at the water depth from 10 m to 19 m with root mean square error of 1.03 m to 1.99 m and correlation coefficients of 0.72 to 0.74. This study demonstrates the capacity of VNREDSAT-1 in bathymetry mapping, and it would be an efficient tool for precisely mapping crude bathymetry in Vietnam.

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References

Lyzenga, D. R., 1978. Passive remote sensing techniques for mapping water depth and bottom features. Applied Optics, 17(3), 379–383.

Lyzenga, D. R., Malinas, N. P., and Tanis, F. J., 2006. Multispectral bathymetry using a simple physically based algorithm. IEEE Transactions on Geoscience and Remote Sensing, 44(8), 2251–2259.

Gholamalifard, M., Kutser, T., Esmaili-Sari, A., Abkar, A., and Naimi, B., 2013. Remotely sensed empirical modeling of bathymetry in the Southeastern Caspian Sea. Remote sensing, 5(6), 2746–2762.

Pacheco, A., Horta, J., Loureiro, C., and Ferreira, Ó., 2015. Retrieval of nearshore bathymetry from Landsat 8 images: A tool for coastal monitoring in shallow waters. Remote Sensing of Environment, 159, 102–116.

Vermote, E. F., Tanré, D., Deuze, J. L., Herman, M., and Morcette, J. J., 1997. Second simulation of the satellite signal in the solar spectrum, 6S: An overview. IEEE Transactions on Geoscience and Remote Sensing, 35(3), 675–686.

Wilson, R. T., 2013. Py6S: A Python interface to the 6S radiative transfer model. Computers and Geosciences, 51, 166–171.

Hedley, J. D., Harborne, A. R., and Mumby, P. J., 2005. Simple and robust removal of sun glint for mapping shallow‐water benthos. International Journal of Remote Sensing, 26(10), 2107–2112.

Green, E., Mumby, P., Edwards, A., and Clark, C., 2000. Remote sensing: handbook for tropical coastal management. United Nations Educational, Scientific and Cultural Organization (UNESCO).

Hochberg, E. J., Andréfouët, S., and Tyler, M. R., 2003. Sea surface correction of high spatial resolution Ikonos images to improve bottom mapping in near-shore environments. IEEE Transactions on Geoscience and Remote Sensing, 41(7), 1724–1729.

Hochberg, E. J., Atkinson, M. J., and Andréfouët, S., 2003. Spectral reflectance of coral reef bottom-types worldwide and implications for coral reef remote sensing. Remote Sensing of Environment, 85(2), 159–173.

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Published

08-11-2019

How to Cite

Khin, L. V., Son, T. P. H., Huan, N. H., & Trung, P. B. (2019). Bathymetry mapping using VNREDSAT-1 image: A case study in Ninh Hai coast, Ninh Thuan province of Vietnam. Vietnam Journal of Marine Science and Technology, 19(4A), 67–77. https://doi.org/10.15625/1859-3097/19/4A/14605

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