Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W5, 159-164, 2017
https://doi.org/10.5194/isprs-archives-XLII-4-W5-159-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
05 Oct 2017
SATELLITE-DERIVED BATHYMETRY: ACCURACY ASSESSMENT ON DEPTHS DERIVATION ALGORITHM FOR SHALLOW WATER AREA
N. M. Said1, M. R. Mahmud1, and R. C. Hasan2 1GeoCoastal Research Unit, Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia Skudai, Malaysia
2UTM Razak School of Engineering and Advanced Technology, Universiti Teknologi Malaysia Kuala Lumpur, Malaysia
Keywords: Satellite-Derived Bathymetry, Shallow Water Survey Abstract. Over the years, the acquisition technique of bathymetric data has evolved from a shipborne platform to airborne and presently, utilising space-borne acquisition. The extensive development of remote sensing technology has brought in the new revolution to the hydrographic surveying. Satellite-Derived Bathymetry (SDB), a space-borne acquisition technique which derives bathymetric data from high-resolution multispectral satellite imagery for various purposes recently considered as a new promising technology in the hydrographic surveying industry. Inspiring by this latest developments, a comprehensive study was initiated by National Hydrographic Centre (NHC) and Universiti Teknologi Malaysia (UTM) to analyse SDB as a means for shallow water area acquisition. By adopting additional adjustment in calibration stage, a marginal improvement discovered on the outcomes from both Stumpf and Lyzenga algorithms where the RMSE values for the derived (predicted) depths were 1.432 meters and 1.728 meters respectively. This paper would deliberate in detail the findings from the study especially on the accuracy level and practicality of SDB over the tropical environmental setting in Malaysia.
Conference paper (PDF, 1056 KB)


Citation: Said, N. M., Mahmud, M. R., and Hasan, R. C.: SATELLITE-DERIVED BATHYMETRY: ACCURACY ASSESSMENT ON DEPTHS DERIVATION ALGORITHM FOR SHALLOW WATER AREA, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W5, 159-164, https://doi.org/10.5194/isprs-archives-XLII-4-W5-159-2017, 2017.

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