Underwater sky image as remote sensing instrument of sea roughness parameters and its variability

Alexander A. Molkov; Lev S. Dolin; Ivan A. Kapustin; Irina A. Sergievskaya; Olga V. Shomina

doi:10.1117/12.2241816

19 October 2016 Underwater sky image as remote sensing instrument of sea roughness parameters and its variability

Alexander A. Molkov, Lev S. Dolin, Ivan A. Kapustin, Irina A. Sergievskaya, Olga V. Shomina

Proceedings Volume 9999, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2016; 99991D (2016) https://doi.org/10.1117/12.2241816
Event: SPIE Remote Sensing, 2016, Edinburgh, United Kingdom

Abstract

At present a sufficient amount of methods is offered for determining the characteristics of sea roughness in accordance with optical images of wavy water surface obtained from different near-shore constructions, sea platforms, vessels, aircraft and satellites. The most informative elements in this case are solar path and peripheral areas of the image free from sun glitters. However, underwater images of the surface obtained with the help of optical receiver located at a certain depth contain apart from the mentioned elements one more informative element– Snell’s window. It is an underwater sky image which distortions of border contain information on roughness characteristics and serve as the indicator of its variability. The research offers the method for determining energy spectra of wind waves in accordance with the second statistical moment of Snell’s window image. The results of testing of the offered method are provided based on natural images registered in the course of trip to the Black Sea under conditions of different wind and wave environment for clear surface and surface covered by surfactant films. For both cases frequency spectra of surface slopes are recovered and their good coincidence to the spectra received by processing of signals from a string wave recorder is established. Efficiency of application of the offered method for tasks of remote monitoring and environmental control of natural reservoirs is shown.

Citation Download Citation

Alexander A. Molkov, Lev S. Dolin, Ivan A. Kapustin, Irina A. Sergievskaya, and Olga V. Shomina "Underwater sky image as remote sensing instrument of sea roughness parameters and its variability", Proc. SPIE 9999, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2016, 99991D (19 October 2016); https://doi.org/10.1117/12.2241816

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