A Novel Multitemporal Approach for Satellite-Derived Bathymetry for Coastal Waters of Palau

Wei, Chunyue; Theuerkauf, Seth J.

doi:10.2112/jcoastres-d-20-00032.1

Cited by 2 publications

(1 citation statement)

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“…Applying different wavelengths of electromagnetic radiation, different coastal environments could be successfully surveyed (e.g. Jagalingam et al, 2015;Parente and Pepe, 2018;Caballero and Stumpf, 2019;Basith and Prastyani, 2020;Conti et al, 2020;Simpson et al, 2021;Wei and Theuerkauf, 2021;Westley, 2021). Indeed, according to Evagorou et al (2019) new studies applying SDB show the potential of remote sensing for bathymetric mapping purposes using different approaches, being able to estimate depths up to 30 meters.…”

Section: Introductionmentioning

confidence: 99%

Satellite-Derived Bathymetry Models from Sentinel-2A and 2B in the Coastal Clear Waters of Arraial do Cabo, Rio de Janeiro, Brazil

Vargas¹,

Wasserman²,

Silva

et al. 2021

Rev. Bras. Geog. Fis.

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Mapping coastal environments is a challenging task, as field surveys and favorable oceanographic conditions are required. Remote sensing offers a practical alternative for extracting depth information, obtaining a fast, repetitive and low-cost mapping over large areas to optimize and minimize field work. This study aims to generate and evaluate Satellite-Derived Bathymetric (SDB) models from Sentinel-2A and 2B images on Praia dos Anjos, Brazil. The log-transform band ratio model was applied in this study. Two images from Sentinel-2 were used, from April 6, 2019 and June 20, 2019. For calibration and validation of SDB, depths were measured in the field with an echosounder on April 4, 2019. Different intervals of depths were tested, and the red wavelength to estimate depths up to 4 m. The statistical correlation between the image and control points on April 6, was r2 = 0.927 for 1-13 m depth interval and between SDB and check points was r2 = 0.893 with a Root Mean Square Error (RMSE) = 1.095. On June 20, the correlation between image and control points was r2 = 0.938 for 1-13 m depth interval, and between SDB and check points was r2 = 0.919 with a RMSE = 0.98. This study showed that remote sensing can be applied to estimate depths on Praia dos Anjos. Bathymetric information is essential for environmental monitoring and coastal engineering works. Further tests in the area are recommended to improve the models and an assessment of the calibrated equations for future applications with new measured check points.

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