Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2018, Vol. 15, No. 1, pp. 245-257
Field measurements of the sea surface wave spectrum from photos of sunglitter taken from drone
M.V. Yurovskaya
1, 2 , V.N. Kudryavtsev
2, 1 , A. S. Shirokov
2 , I. Yu. Nadolya
2 1 Marine Hydrophysical Institute RAS, Sevastopol, Russia
2 Russian State Hydrometeorological University, St. Petersburg, Russia
Accepted: 12.12.2017
DOI: 10.21046/2070-7401-2018-15-1-245-257
Measurements from unmanned aerial vehicles (drones) are increasingly demanded in various applications to monitor the environment using remote sensing technique. This paper describes the technique for retrieval the two-dimensional wavenumber spectrum of the surface waves from drone sunglitter imagery. Technical features of using drones for the sea surface photographing are discussed and recommendations for measurement conducting are given. The sea surface elevation spectrum is derived from the brightness variations with use of a linear transfer function defined from smooth shape of the sunglitter. The method advantage consists in the absence of any additional assumptions about the shape of the reconstructed spectrum, the sky brightness, sea surface slope distribution, etc. A step-by-step algorithm for image processing is presented. The technique was tested during the field experiments around the Black Sea Platform (Katsiveli, Crimea) under various wind and wave conditions. Comparison between the surface wave spectra derived from the drone-borne sunglitter photographs with the wave spectra measured synchronously with the wave gauge on the platform has demonstrated rather good agreement. Results of this study indicate a potential efficiency of drones for investigation of the surface wave field.
Keywords: sunglitter, wind waves, wave spectrum, drone, field study
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