Why Is It Important to Consider Dust Aerosol in the Sevastopol and Black Sea Region during Remote Sensing Tasks? A Case Study

Atmospheric correction of satellite optical data is based on an assessment of the optical characteristics of the atmosphere, such as the aerosol optical thickness of the atmosphere and the spectral slope, the so-called Angstrom parameter. Inaccurate determination of these parameters is one of the ca...

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Published inRemote sensing (Basel, Switzerland) Vol. 14; no. 8; p. 1890
Main Authors Kalinskaya, Darya V., Papkova, Anna S.
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 14.04.2022
Subjects
aerosol
aerosol optical depth
Aerosols
Algorithms
Atmosphere
Atmospheric aerosols
Atmospheric correction
Climate change
Dust
Earth
MODIS
Optical properties
Optical thickness
Parameters
Radiation
Reflectance
Remote sensing
remote-sensed reflectance
Satellites
Sea level
Seawater
Spectral bands
sun photometer
VIIRS
Black Sea
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Summary:Atmospheric correction of satellite optical data is based on an assessment of the optical characteristics of the atmosphere, such as the aerosol optical thickness of the atmosphere and the spectral slope, the so-called Angstrom parameter. Inaccurate determination of these parameters is one of the causes of error in the retrieval of remote-sensed reflectance spectra. In this work, a large array of field and satellite data measured in Sevastopol and the northeastern part of the Black Sea were used, including ship-based measurements of atmospheric characteristics and sea reflectance, MODIS Aqua/Terra, and VIIRS NOAA/NPP Level 2 remote-sensed reflectance and atmospheric data. In total, three episodes of Saharan dust transfer over the Black Sea region were considered, mainly in the autumn-winter period. The purpose of this study was to show the numerical differences between the atmospheric parameters measured at the surface level and by satellites, and show their relationship with the differences between in situ and satellite remote-sensed reflectance. Based on the information identified, we propose an algorithm for additional correction of satellite level 2 data that uses a two-parametric model of the Black Sea remote-sensed reflectance as a first approximation. Moreover, additional correction significantly reduces the discrepancy between in situ and retrieved remote-sensed reflectance, especially in short-wave spectral bands.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs14081890