VAK Russia 1.6
UDC 551.46
UDC 551.46.09
UDC 551.463
UDC 551.468
UDC 55
UDC 550.34
UDC 550.383
CSCSTI 37.25
CSCSTI 37.01
CSCSTI 37.15
CSCSTI 37.31
CSCSTI 38.01
CSCSTI 36.00
CSCSTI 37.00
CSCSTI 38.00
CSCSTI 39.00
CSCSTI 52.00
Russian Classification of Professions by Education 05.00.00
Russian Library and Bibliographic Classification 2
Russian Library and Bibliographic Classification 26
Russian Trade and Bibliographic Classification 6
Russian Trade and Bibliographic Classification 63
BISAC SCI052000 Earth Sciences / Oceanography
BISAC SCI SCIENCE
The paper proposes an alternative method of atmospheric correction using the OLCI satellite data for the Black Sea as an example. Currently, for remote sensing problems, the standard Gordon and Wang atmospheric correction algorithm is used in most cases (GW94). Unfortunately, its operation is often accompanied by the appearance of negative values of the spectral radiance coefficient of the sea (remote sensing reflectance) 𝑅rs(𝜆) in the shortwave region, which means a sufficient number of physically incorrect values and subsequent incorrect calculation of the concentration of chlorophyll-a and yellow matter. In this paper, a simple algorithm is proposed, built exclusively on analytical formulas, where two procedures of interpolation and extrapolation are conceptually implemented simultaneously, extrapolation - via two channels, interpolation based on the constancy of the color index ratio (CI = 𝑅rs(412)/𝑅rs(443) = 0.8). Using individual examples of OLCI scanner data, the performance GW94 of the new algorithm was tested for different states of the atmosphere and sea surface by comparing the results with in-kind measurements of the AERONET-OC platforms, with Level-2 data and with the operation of the regional method of additional correction. The new algorithm was tested under the following conditions: clear atmosphere (presence of background aerosol), presence of dust aerosol, cloud boundaries, presence of sun glare, coccolithophore bloom. When analyzing a number of Sentinel 3A/3B satellite images, it was found that the new simple algorithm was, on average, better than the standard one, which means that there is a prospect for its improvement. The advantage of this approach is its universality and the possibility of its implementation for other water areas, if there are patterns in the variability of the "blue" color index.
aerosol, atmospheric correction, remote sensing reflectance, sea optics, color index, interpolation, Black Sea
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