Satellite-Derived Bathymetry: Accuracy Assessment on Depths Derivation Algorithm for Shallow Water Area

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.

Analisis Kemampuan Citra Satelit Pleiades-1b Dalam Mengestimasi Kedalaman Perairan Gili Iyang Dengan Menerapkan Geographically Weighted Regression (Gwr)

“…Teknik ini disebut sebagai Satellite-Derived Bathymetry (SDB). SDB merupakan sebuah revolusi baru dalam bidang survei hidrografi (Said, Mahmud, & Hasan, 2017). Teknologi penginderaan jauh menjadi efektif mengingat teknologi ini memberikan informasi secara cepat dan mampu menjangkau area yang tidak memungkinkan untuk dilakukan pengukuran secara langsung, sehingga informasi mengenai kedalaman perairan dangkal dapat dipastikan ketersediaannya.…”

Desarrollo de una interfaz para el cálculo de los niveles de profundidad en cuerpos de agua a través de batimetría (TOLTECA)

“…The previous algorithm obtains water depths of less than 10-15 m, while the transformation algorithm can obtain depths in 25 m of clean water. Said (2017), explains in his article the development of the acquisition of bathymetric data through the satellite-derived bathymetry technique (SDB).…”

“…Equation 4, helps to obtain the absolute bathymetry for the whole image as mentioned both in (El-Sayed, 2018) and in (Said, Mahmud & Hasan, 2017). Where are the radiance bands, and are tunable constants to transform linearly (i.e.…”

Bathymetric maps from multi-temporal analysis of Sentinel-2 data: the case study of Limassol, Cyprus

“…Over the years, many researches used several optical satellite imageries to extract bathymetrical data. As, remote sensing technologies are continuously upgrading, they are also expanding the horizons of researchers in the field of bathymetry using high resolution satellite images (Said et al, 2017;Setiawan et al, 2013). These multispectral sensors, provide a wide range of wavelength bands which can be applied to these models, especially green and blue bands which can penetrate up to 20 m underneath the sea surface in a clear water condition (Sutanto, 1992).…”