Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2020, Vol. 17, No. 2, pp. 227-242
Use of modern satellite data for monitoring wind surges
O.Yu. Lavrova
1 , A.G. Kostianoy
2, 3 1 Space Research Institute RAS, Moscow, Russia
2 Shirshov Institute of Oceanology RAS, Moscow, Russia
3 S.Yu. Witte Moscow University, Moscow, Russia
Accepted: 23.04.2020
DOI: 10.21046/2070-7401-2020-17-2-227-242
Upsurge and down surge currents relate to non-periodic fluctuations in sea level caused by impacts of wind and atmospheric pressure on the water surface. The goal of the present work was to study applications of satellite-based optical sensors for the operational diagnostics of overhangs and surge and determine the optimal channel combinations of MSI instruments installed on Sentinel-2A/B satellites; and OLI/TIRS on the Landsat-8 satellite, to identify areas of dereliction during downsurges and coastal flooding during upsurges. After testing various combinations of channels we found that the best result was obtained using the “thermal” channel such as Red — 12, Green — 8, Blue — 4, for MSI. At the same time, the use of standard True Color images, both for MSI Sentinel-2 and OLI Landsat-8, does not lead to the identification of dereliction zones that appear as light brown areas, which can also correspond to muddy waters in the area of the river plume, and swollen under the influence of strong waves in shallow areas of the sea. The developed methodology was used to monitor extreme downsurge in the Taganrog Gulf of the Sea of Azov in November 2019 and in satellite monitoring of upsurge-downsurge feathers in the north-eastern part of the Caspian Sea in March – November 2019. The studies show that the use of radar images, which have similar spatial resolution characteristics to optical data and are not affected by cloudiness, does not allow reliable identification of the zones of dereliction and coastal flooding due to the specificity of the reflectivity of the underlying surface.
Keywords: upsurge and downsurge currents, satellite remote sensing, Ocean Color data, radar remote sensing, MSI Sentinel-2, OLI Landsat-8, the Azov Sea, the Caspian Sea
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