|Author(s)||Misra Ankita1, Chapron Bertrand2, 3, Nouguier Frederic2, Ramakrishnan Balaji1, Yurovskaya Maria3, 4|
|Affiliation(s)||1 : Indian Inst Technol Bombay India, Bombay, Maharashtra, India.
2 : Ifremer France, Ctr Brest Technopole Brest Iroise, BP 70, F-29280 Plouzane, France.
3 : Russian State Hydrometeorologycal Inst, St Petersburg, Russia.
4 : RAS, Marine Hydrophys Inst, Sevastopol, Russia.
|Meeting||Conference on Remote Sensing of the Open and Coastal Ocean and Inland Waters, Honolulu, HI, SEP 24-25, 2018|
|Source||Proceedings SPIE. Volume 10778 "Remote Sensing of the Open and Coastal Ocean and Inland Waterss". 107780L (24 October 2018); 9p.|
|Keyword(s)||Sun-glint Imagery, Wave transformation, Landsat 8 OLI, Fast Fourier Transform(FFT), cross-spectral analysis|
Local changes in specular reflections of visible sunlight on the ocean surfaces can be captured effectively by satellite sensors operating in the visible range of the electromagnetic spectrum. This causes the sun-glint imagery to closely resemble the oceanic images obtained using Synthetic Aperture Radar (SAR) further allowing the identification of the various fine scale structures and patterns of the ocean. Moreover, at relevant spatial resolutions, cloud-free conditions as well as optimum relative positions of the sensor, sun and the wave front it is possible to image ocean waves, wave transformations and refraction patterns using Satellite Sun-glint imagery (SSGI). In the present study, Landsat OLI imagery captured along the coast of Brest, France is used to derive ocean wave characteristics such as wavelength, direction, amplitude and then mapped to better understand the process of wave transformation. The 2D fast Fourier transform technique has been used on Band 5 (NIR, 0.851 - 0.879 mu m) to derive the wavelength of swell waves in near-shore regions as well as to analyze the wavelength change. Furthermore, owing to the detector configuration of Landsat 8 OLI there is a small time lag between the channel acquisitions. This effectively helps to infer the space-time characteristics of the surface waves using the cross channel correlation between Band 5 and Band 6 subsequently enabling removal of the directional ambiguity associated with the wave spectra obtained from the analysis. The main purpose of this study is to demonstrate the importance of SSGI in deriving relevant coastal information which can be further utilized for bathymetry, surface current and wave motion determinations.
Misra Ankita, Chapron Bertrand, Nouguier Frederic, Ramakrishnan Balaji, Yurovskaya Maria (2018). Sun glint Imagery of Landsat 8 for ocean surface waves. Proceedings SPIE. Volume 10778 "Remote Sensing of the Open and Coastal Ocean and Inland Waterss". 107780L (24 October 2018); 9p. https://archimer.ifremer.fr/doc/00476/58787/