Version 1
: Received: 31 October 2022 / Approved: 2 November 2022 / Online: 2 November 2022 (07:03:09 CET)
Version 2
: Received: 1 December 2022 / Approved: 2 December 2022 / Online: 2 December 2022 (08:52:08 CET)
Version 3
: Received: 22 December 2022 / Approved: 23 December 2022 / Online: 23 December 2022 (07:27:12 CET)
How to cite:
Papkova, A.S.; Shybanov, E.B. Algorithm for Additional Correction of Remote Sensing Reflectance in the Presence of Absorbing Aerosol. Preprints2022, 2022110049. https://doi.org/10.20944/preprints202211.0049.v2
Papkova, A.S.; Shybanov, E.B. Algorithm for Additional Correction of Remote Sensing Reflectance in the Presence of Absorbing Aerosol. Preprints 2022, 2022110049. https://doi.org/10.20944/preprints202211.0049.v2
Papkova, A.S.; Shybanov, E.B. Algorithm for Additional Correction of Remote Sensing Reflectance in the Presence of Absorbing Aerosol. Preprints2022, 2022110049. https://doi.org/10.20944/preprints202211.0049.v2
APA Style
Papkova, A.S., & Shybanov, E.B. (2022). Algorithm for Additional Correction of Remote Sensing Reflectance in the Presence of Absorbing Aerosol. Preprints. https://doi.org/10.20944/preprints202211.0049.v2
Chicago/Turabian Style
Papkova, A.S. and Evgeny Borisovich Shybanov. 2022 "Algorithm for Additional Correction of Remote Sensing Reflectance in the Presence of Absorbing Aerosol" Preprints. https://doi.org/10.20944/preprints202211.0049.v2
Abstract
In the presence of absorbing aerosol in the atmosphere a number of systematic errors of standard Ocean Color algorithms were noted, for example, negative values of remote sensing reflectance in the short-wavelength region at 412 nm and 443 nm. The main goal of this work is to develop an algorithm for additional correction of remote sensing reflectance level 2 satellite data, taking into account the presence of absorbing aerosol over the Black Sea, where a large number of dust transfers from the Sahara are observed annually. To implement the algorithm, an analytical and experimental evaluation of the interpolation function is carried out, taking into account the optical effects caused by the stratification of the absorbing aerosol. This algorithm is based on the constancy of the color index value, characteristic of the selected region. For the Black Sea the average value of CI(412/443) = 0.80±0.08, a small standard deviation indicates that the sample is slightly variable. Therefore, CI(412/443) = 0.80 will be further considered as the reference value of the color index for calculating new restored Rrs(λ).
Keywords
optical characteristics; chlorophyll-a concentration; ocean color; seawater; absorbing aerosol; dust; MODIS Aqua; AERONET; Black Sea
Subject
Environmental and Earth Sciences, Oceanography
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
