Accessibility and Usability of Landsat 8 Data for the Purpose of Satellite-Drived Bathymetry of the South Baltic Near-Shore Waters on the Example of Gulf of Gdańsk

Zwolak, Karolina; Marchel, Łukasz; Skóra, Marcin; Przybysz, Radosław; Jóźwiak, Rafał; Tomaszewska, K.

doi:10.2478/sjpna-2020-0003

Cited by 1 publication

(2 citation statements)

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“…The scatterplot between pSDB and control points, calibrated for the area without boats on the image (only water pixels), showed a strong linear correlation, highlighting an important association between the images and depths in the study area. It is worth noting that, a necessary procedure in this type of study is to evaluate and determine the extinction depth by the behavior of the values in the graph, that is, to determine a depth at which the variables no longer correlate linearly (Guerreiro and Moura, 2015;Zwolak et al, 2020). However, this behavior was not observed in Figure 6, which allowed the processing and statistical analysis to be performed considering the largest depth interval (1-13 m).…”

Section: Resultsmentioning

confidence: 99%

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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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Section: Resultsmentioning

confidence: 99%

“…Among them, the logtransform band ratio model developed by Stumpf et al (2003), widely applied, was used. According to Zwolak et al (2020) this is a modern and main methodological reference for bathymetric mapping used with different satellites and sensors.…”

Section: Estimating Depth By Satellite Remote Sensing Datamentioning

confidence: 99%