scholarly journals A Hybrid Bio-Optical Transformation for Satellite Bathymetry Modeling Using Sentinel-2 Imagery

2019 ◽  
Vol 11 (23) ◽  
pp. 2746 ◽  
Author(s):  
Athanasios K. Mavraeidopoulos ◽  
Emmanouil Oikonomou ◽  
Athanasios Palikaris ◽  
Serafeim Poulos
Keyword(s):  
Optical Properties ◽  
Field Data ◽  
Sea Water ◽  
Aegean Sea ◽  
Multispectral Images ◽  
Inherent Optical Properties ◽  
Sentinel 2A ◽  
Satellite Bathymetry ◽  
Optical Transformation ◽  
Sentinel 2

The article presents a new hybrid bio-optical transformation (HBT) method for the rapid modelling of bathymetry in coastal areas. The proposed approach exploits free-of-charge multispectral images and their processing by applying limited manpower and resources. The testbed area is a strait between two Greek Islands in the Aegean Sea with many small islets and complex seabed relief. The HBT methodology implements semi-analytical and empirical steps to model sea-water inherent optical properties (IOPs) and apparent optical properties (AOPs) observed by the Sentinel-2A multispectral satellite. The relationships of the calculated IOPs and AOPs are investigated and utilized to classify the study area into sub-regions with similar water optical characteristics, where no environmental observations have previously been collected. The bathymetry model is configured using very few field data (training depths) chosen from existing official nautical charts. The assessment of the HBT indicates the potential for obtaining satellite derived bathymetry with a satisfactory accuracy for depths down to 30 m.

Assessment of apparent and inherent optical properties derived from SeaWiFS with field data

2005 ◽  
Vol 97 (4) ◽  
pp. 540-553 ◽  
Author(s):  
Frédéric Mélin ◽  
Jean-François Berthon ◽  
Giuseppe Zibordi
Keyword(s):  
Optical Properties ◽  
Field Data ◽  
Inherent Optical Properties

scholarly journals 4SM Method Tested in the Gulf of California Suggests Field Data are Not Needed to Derive Satellite Bathymetry

2017 ◽  
Author(s):  
Fabio Favoretto ◽  
Yann Morel ◽  
Andrew Waddington ◽  
Jorge Lopez-Calderon ◽  
Marco Cadena-Roa ◽  
...  
Keyword(s):  
Time Series ◽  
Gulf Of California ◽  
Field Data ◽  
Control Method ◽  
Spectral Characteristics ◽  
Landsat 8 ◽  
Multispectral Images ◽  
Band Ratio ◽  
Average Accuracy ◽  
Satellite Bathymetry

Satellite derived bathymetry methods over coastal areas were born to deliver basic and useful information like bathymetry. However, the process is not straightforward, the main limitation being the need of field data. The Self-calibrated Spectral Supervised Shallow-water Modeler (4SM) method was tested to obtain coastal bathymetry without the use of any field data. Using LANDSAT-8 multispectral images from 2013 to 2016, a bathymetric time series was produced. Groundtruthed depths and an alternative method, Stumpf’s Band Ratio Algorithm, were used to verify the results. Retrieved (4SM) vs groundtruthed depths scored an average r2 (0.90), and a low error (RMSE = 1.47 m). Also 4SM showed, over the whole time series, the same average accuracy of the control method (40%). Advantages, limitations and operability under complex atmosphere and water column conditions, and high and low-albedo bottom processing capabilities of 4SM are discussed. In conclusion, the findings suggest that 4SM is equally accurate as the commonly used Stumpf’s method, the only difference being the independence of 4SM to previous field data, and the potential to deliver bottom spectral characteristics for further modelling. 4SM represents a significative advance in coastal remote sensing potential to obtain bathymetry and optical properties of the marine bottom.

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