Bathymetry modelling of the eastern Tendrivska Bay (Ukraine) using
Sentinel-2 remote sensing data
[Батиметричне моделювання східної частини Тендрівської затоки з використанням даних
дистанційного зондування Sentinel-2]
Yurii Moskalenko https://orcid.org/0000-0002-9121-7832
Black Sea Biosphere Reserve, NAS of Ukraine (Hola Prystan, Ukraine)
Cite as
Moskalenko, Y. 2024. Bathymetry modelling of the eastern Tendrivska Bay (Ukraine) using
Sentinel-2 remote sensing data. GEO&BIO, 26: 145–159. [Ukrainian, with English
summary]
doi: https://doi.org/10.53452/gb2612
pdf: gb2612-moskalenko.pdf
Abstract
The aim of the study was to create a bathymetric model of the eastern Tendrivska Bay based on
Sentinel-2 remote sensing data. For this purpose, the method of log-transformed spectral
band ratios was used. Initially, cloud-free Sentinel-2 scenes from 28 dates in 2015–2018
were selected for the study. The preliminary processing of remote sensing data included
atmospheric correction using the DSF (Dark Spectrum Fitting) algorithm, clipping to the
region of interest, and merging identical visible spectrum bands from two adjacent tiles
that fully covered the eastern Tendrivska Bay. High-frequency noise was removed by applying
a 7x7 pixel window median filter to each band. In the final stage of remote sensing data
preparation, the log-transformed spectral band ratios were calculated and exported to raster
files using a mask that clipped the final images to the bay boundaries. The study calculated
and evaluated three types of models: BG (blue to green bands log-ratio), BR (blue to red
bands log-ratio), and GR (green to red bands log-ratio). Field depth measurements from 79
sites were used to train the models through regression analysis. Model validation was
performed using multiple k-fold cross-validation. The BR and GR models showed the best
results for bathymetric modeling of the eastern Tendrivska Bay. In contrast, BG models were
unsuitable due to their low accuracy. The final bathymetric model of the eastern Tendrivska
Bay was obtained by averaging 12 individual models (7 BR and 5 GR models) that showed the
best results in the regression analysis. The spatial variation of the model’s vertical
accuracy, assessed by the standard deviation raster, indicated that vertical accuracy was
slightly lower for relatively deep areas and areas with intensive water dynamics. This is
due to the greater variability in water transparency in such areas. Overall, the obtained
bathymetric model is characterised by high spatial resolution and vertical accuracy, making
it suitable for geomorphological studies. It will also be useful as a spatial variable for
modeling the distribution of aquatic organisms and waterfowl in the bay using machine
learning methods. The experience of creating a bathymetric model for the eastern Tendrivska
Bay showed that this method is quite simple and accessible, allowing it to be recommended
for modelling the seabed topography of other shallow water bodies.
Key
words: Tendrivska Bay, bathymetry, remote sensing data, relief, regression
analysis.
Correspondence to
Yurii Moskalenko; Black
Sea Biosphere Reserve, NAS of Ukraine; 1 Lermontova Street, Hola Prystan, 75600 Ukraine;
Email: strix@strix.ks.ua
Article info
Submitted: 17.04.2024.
Revised: 17.06.2024. Accepted: 30.06.2024
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