Sources of Errors of Satellite Data in Spring in Black Sea

E. N. Korchemkina*, A. O. Raykina

Marine Hydrophysical Institute of RAS, Sevastopol, Russia

* e-mail: korchemkina@mhi-ras.ru

Abstract

For the Black Sea, there are visible discrepancies between remote estimates of the optical characteristics of sea water and contact measurements. Despite the fact that modern atmospheric correction algorithms take into account non-zero brightness in the long-wavelength region, they do not completely solve the problem and require additional analysis. In this paper, we compare remote sensing data and data from simultaneous field measurements of the sea reflectance and atmospheric transparency in order to further improve the standard methods of atmospheric correction, taking into account the real aerosol optical depth. In this paper, we consider the measurement data of the spectral reflectance of the water column and the optical characteristics of the atmosphere, obtained during the cruises of the R/V Professor Vodyanitsky in the spring of 2019 and 2021 in the north-eastern part of the Black Sea. As a result of comparison with satellite data, it was found that satellite reflectance data in the Black Sea in spring are on average underestimated compared to contact measurements. The average values of the Angström parameter and the aerosol optical depth according to satellite data are twice as high as field measurements. The values of the Angström exponent, which are greatly overestimated compared to field measurements, lead to an excessive allowance for the influence of the atmosphere and, as a result, to an underestimation of the reflectance values.

Keywords

sea reflectance, atmospheric correction, atmospheric aerosol optical depth, Angström parameter, spectrophotometer, SPM sun photometer

Acknowledgments

The authors are grateful to junior research associate of the Department of Marine Optics and Biophysics D. V. Kalinskaya for processing data on atmospheric characteristics. The work was performed under state assignment of FSBSI FRC MHI on topic no. FNNN-2021-0003 “Operational oceanology”.

For citation

Korchemkina, E.N. and Raykina, A.O., 2022. Sources of Errors of Satellite Data in Spring in Black Sea. Ecological Safety of Coastal and Shelf Zones of Sea, (4), pp. 39–51. doi:10.22449/2413-5577-2022-4-39-51

DOI

10.22449/2413-5577-2022-4-39-51

References

  1. Pauly, D. and Christensen, V., 1995. Primary Production Required to Sustain Global Fisheries. Nature, 374, pp. 255–257. doi:10.1038/374255a0
  2. Tilstone, G.H., Taylor, B.H., Blondeau-Patissier, D., Powell, T., Groom, S.B. and Rees, A.P., 2015. Comparison of New and Primary Production Models Using SeaWiFS Data in Contrasting Hydrographic Zones of the Northern North Atlantic. Remote Sensing of Environment, 156, pp. 473–489. doi:10.1016/j.rse.2014.10.013
  3. Kato, S., Rose, F.G., Chang, F.-L., Painemal, D. and Smith, W.L., 2021. Evaluation of Regional Surface Energy Budget over Ocean Derived from Satellites. Frontiers in Marine Science, 8, 688299. doi:10.3389/fmars.2021.688299
  4. Loeb, N.G., Johnson, G.C., Thorsen, T.J., Lyman, J.M., Rose, F.G. and Kato, S., 2021. Satellite and Ocean Data Reveal Marked Increase in Earth’s Heating Rate. Geophysical Research Letters, 48(13), e2021GL093047. https://doi.org/10.1029/2021GL093047
  5. Suetin, V.S., Korolev, S.N., Suslin, V.V. and Kucheryavyi, A.A., 2011. Comparative Analysis of the Methods Used for the Determination of the Optical Parameters of Waters in the Black Sea according to the Data of Satellite Measurements. Physical Oceanography, 21(2), pp. 106–114. https://doi.org/10.1007/s11110-011-9108-4
  6. Kopelevich, O.V., Saling, I.V., Vazyulya, S.V., Glukhovets, D.I., Sheberstov, S.V., Burenkov, V.I. and Yushmanova, A.V., 2018. Bio-Optical Characteristics of the Seas, Surrounding the Western Part of Russia, from Data of the Satellite Ocean Color Scanners of 1998-2017. Moscow: IO RAS, 140 p. (in Russian).
  7. Gordon, H.R. and Wang, M., 1994. Retrieval of Water-Leaving Radiance and Aerosol Optical Thickness over the Oceans with SeaWiFS: a Preliminary Algorithm. Applied Optics, 33(3), pp. 443–452. https://doi.org/10.1364/AO.33.000443
  8. Moses, W.J., Sterckx, S., Montes, M.J., De Keukelaere, L. and Knaeps, E., 2017. Atmospheric Correction for Inland Waters. In: D. R. Mishra, I. Ogashawar and A. A. Gitelson, eds., 2017. Bio-Optical Modeling and Remote Sensing of Inland Waters. Amsterdam, The Netherlands: Elsevier, pp. 69–100. https://doi.org/10.1016/B978-0-12-804644-9.00003-3
  9. Giardino, C., Brando, V.E., Gege, P.C., Pinnel, N., Hochberg, E., Knaeps, E., Reusen, I., Doerffer, R., Bresciani, M., Braga, F., Foerster, S., Champollion, N. and Dekker, A., 2019. Imaging Spectrometry of Inland and Coastal Waters: State of the Art, Achievements and Perspectives. Surveys in Geophysics, 40(3), pp. 401–429. https://doi.org/10.1007/s10712-018-9476-0
  10. Moiseeva, N., Churilova, T., Efimova, T. and Krivenko, O., 2018. Light Absorption by non-Algal Particles and Colored Dissolved Organic Matter at the Wavelength of 490 nm in the Black Sea in the Autumn (2015 and 2016). In: SPIE, 2018. Proceedings of SPIE. Bellingham: SPIE. Vol. 10833: 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 108336B. https://doi.org/10.1117/12.2504650
  11. Churilova, T., Suslin, V., Moiseeva, N. and Efimova, T., 2018. Dissolved and Suspended Matter Variability in Coastal Waters: Photosynthetic Available Light. In: SPIE, 2018. Proceedings of SPIE. Bellingham: SPIE. Vol. 10833: 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 1083365. https://doi.org/10.1117/12.2504637
  12. Karabashev, G.S. and Evdoshenko, M.A., 2015. The Wavelength of Satellite Reflectance Maximum as a Remote Indicator of Water Exchange between Ecologically Different Aquatic Areas. Oceanology, 55(3), pp. 327–338. https://doi.org/10.1134/S0001437015030066
  13. Bailey, S.W., Franz, B.A. and Werdell, P.J., 2010. Estimation of Near-Infrared Water-Leaving Reflectance for Satellite Ocean Color Data Processing. Optics Express, 18(7), pp. 7521–7527. https://doi.org/10.1364/OE.18.007521
  14. Kopelevich, O., Burenkov, V.I. and Sheberstov, S.V., 2006. [The Development and Using of the Regional Algorithms for the Calculation of the Bio-Optical Characteristicsof Russian Seas from Ocean Color Satellite Data]. Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa, 3(2), pp. 99–105 (in Russian).
  15. Korchemkina, E.N. and Kalinskaya, D.V., 2022. Algorithm of Additional Correction of Level 2 Remote Sensing Reflectance Data Using Modelling of the Optical Properties of the Black Sea Waters. Remote Sensing, 14(4), 831. https://doi.org/10.3390/rs14040831
  16. Lee, M.E., Shybanov, E.B., Korchemkina, E.N. and Martynov, O.V., 2015. Determination of the Concentration of Seawater Components Based on Upwelling Radiation Spectrum. Physical Oceanography, (6), pp. 15–30. doi:10.22449/1573-160X-2015-6-15-30
  17. Sakerin, S.M., Kabanov, D.M., Rostov, A.P., Turchinovich, S.A. and Knyazev, V.V., 2013. Sun Photometers for Measuring Spectral Air Transparency in Stationary and Mobile Conditions. Atmospheric and Oceanic Optics, 26(4), pp. 352–356. https://doi.org/10.1134/S102485601304012X

Full text

English version (PDF)

Russian version (PDF)