Abstract
Bathymetry map is instrumental for monitoring marine ecosystem and supporting marine transportation. Optical satellite imagery has been widely utilised as an alternative method to derive bathymetry map in shallow water. Nonetheless, interactions between electromagnetic energy and Earth’s atmosphere causing the atmosphere effects pose a significant challenge in satellite-derived bathymetry (SDB) application. In this study, Worldview-3 imagery was used to obtain bathymetry map in shallow water. Three atmospheric correction models (ACOMP, FLAASH and QUAC) were employed to eliminate atmospheric effects on Worldview-3 imagery. Three simple band ratios involving coastal blue, blue, green and yellow band were used to test the performance of atmospheric correction models. ACOMP combined with blue and green band ratio efficaciously provided the best performance where it explained 77% of model values. Bathymetry map obtained from Worldview-3 was also validated using bathymetry data acquired from bathymetric survey over the study area. The estimated depths shared aggregable results with measured depths (depth < 20 m) with accuracy of 2.07 m. This study shows that robust atmospheric correction combined with suitable simple band combinations offered bathymetry map retrieval with relatively high accuracy.
Highlights
Bathymetry is essentially information about depth and underwater topography of many different types of waterbody such as ocean, river and lake
By using CAVIS data, Digital Globe provides atmospherically compensated (AComp) product. Considering this tremendous opportunity, this paper presents an evaluation of AComp, Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes (FLAASH) and Quick Atmospheric Correction (QUAC) atmospheric models for deriving bathymetry in shallow water of Karimun Island
Two atmospheric correction models (FLAASH and QUAC) were applied to Worldview-3 imagery to be further compared with AComp product provided by Digital Globe
Summary
Bathymetry is essentially information about depth and underwater topography of many different types of waterbody such as ocean, river and lake. Bathymetry map plays critical role in many different fields, there is a pressing need for accurate depth retrieval. Bathymetry map can be obtained by conducting conventional bathymetric survey or by utilising remote sensing data. Optical satellite imagery has been widely used as an alternative approach for depth retrieval, especially in areas where conventional bathymetric survey is difficult to be conducted. Depth retrieval using satellite imagery provides many advantages such as time and cost efficiency when compared to conventional bathymetric surveys. Often called as satellite-derived bathymetry (SDB), using optical satellite imagery relies on the principle of visible light penetration in water (Jawak et al, 2015). Depth retrieval using optical imagery is a complex process which has to take several factors into account such as water properties, bottom signals and atmospheric effects (Hernandez & Armstrong, 2016)
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