Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2025, Vol. 22, No. 1, pp. 244-258
Comparison of results of turbidity and suspended matter concentration fields determination for the Mzymta, Sulak and Terek rivers based on satellite data and in situ measurements
N.A. Knyazev
1 , P.D. Zhadanova
1 1 Space Research Institute RAS, Moscow, Russia
Accepted: 03.12.2024
DOI: 10.21046/2070-7401-2025-22-1-244-258
The paper presents a performance comparison of algorithms for determination of turbidity field and suspended matter concentration of river outflows from optical images of the Sentinel-2 and Landsat-8, -9 satellites. The Mzymta River on the Black Sea coast and the Sulak and Terek rivers flowing into the Caspian Sea were selected as the study areas. The Nechad and Dogliotti algorithms implemented in the ACOLITE software package were used to estimate the parameters of suspended matter in the estuary boundaries of river outflows. The values of turbidity and suspended matter concentration obtained by the algorithms were compared with in situ measurements. High correlations were found for different regions when applying the Nechad algorithm at wind speeds of less than 2 m/s. For turbidities above 70 NTU (Nephelometric Turbidity Unit) or high wind speeds, the algorithm produced values strongly varying from the field measurements. The Dogliotti algorithm performed well for the Mzymta and Terek rivers, but the best fit was achieved at a high turbidity of more than 1000 NTU that was observed only for the Terek River.
Keywords: satellite monitoring, Sentinel, Landsat, in situ measurements, water turbidity, suspended matter concentration, ACOLITE, Mzymta, Sulak, Terek
Full textReferences:
- Dzhaoshvili S., Rivers of the Black Sea, Technical Report, No. 71, European Environment Agency, 2002, 58 p.
- Zhadanova P. D., Nazirova K. R., Analysis and verification of turbidity and suspended solids concentration determination algorithms implemented in the ACOLITE software package, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2023, V. 20, No. 5, pp. 50–68 (in Russian), DOI: 10.21046/2070-7401-2023-20-5-50-68.
- Zavialov P. O., Makkaveev P. N., Konovalov B. V. et al., Hydrophysical and hydrochemical characteristics of the sea areas adjacent to the estuaries of small rivers of the Russian coast of the Black Sea, Oceanology, 2014, V. 54, No. 3, pp. 265–280 (in Russian), DOI: 10.1134/S0001437014030151.
- Lavrova O. Yu., Mityagina M. I., Uvarov I. A., Loupian E. A., Current capabilities and experience of using the See the Sea information system for studying and monitoring phenomena and processes on the sea surface, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, V. 16, No. 3, pp. 266–287 (in Russian), DOI: 10.21046/2070-7401-2019-16-3-266-287.
- Lavrova O. Yu., Nazirova K. R., Alferyeva Ya. O. et al., Comparison of plume parameters of the Sulak and Terek rivers based on satellite data and in situ measurements, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, V. 19, No. 5, pp. 264–283 (in Russian), DOI: 10.21046/2070-7401-2022-19-5-264-283.
- Loupian E. A., Matveev A. A., Uvarov I. A., Bocharova T. Yu., Lavrova O. Yu., Mityagina M. I., The Satellite Service See the Sea — a tool for the study of oceanic phenomena and processes, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2012, V. 9, No. 2, pp. 251–261 (in Russian).
- Nazirova K. R., Lavrova O. Yu., Krayushkin E. V. et al., Features of river plume parameter determination by in situ and remote sensing methods, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, V. 16, No. 2, pp. 227–243 (in Russian), DOI: 10.21046/2070-7401-2019-16-2-227-243.
- Nazirova K. R., Lavrova O. Yu., Alferyeva Ya. O., Knyazev N. A., Spatiotemporal plume variability of Terek and Sulak rivers from satellite data and concurrent in situ measurements, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2023, V. 20, No. 5, pp. 285–303 (in Russian), DOI: 10.21046/2070-7401-2023-20-5-285-303.
- Nazirova K. R., Zhadanova P. D., Knyazev N. A., Results of long-term investigations of turbidity and suspended solids concentration fields in the mouth zone of the Mzymta River based on in situ and satellite data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2024, V. 21, No. 5, pp. 321–332 (in Russian), DOI: 10.21046/2070-7401-2024-21-5-321-332.
- Barreneche J. M., Guigou B., Gallego F. et al., Monitoring Uruguay’s freshwaters from space: An assessment of different satellite image processing schemes for chlorophyll-a estimation, Remote Sensing Applications: Society and Environment, 2023, V. 29, Article 100891, https://doi.org/10.1016/j.rsase.2022.100891.
- Dogliotti A. I., Ruddick K. G., Nechad B. et al., A single algorithm to retrieve turbidity from remotely-sensed data in all coastal and estuarine waters, Remote Sensing of Environment, 2015, V. 156, pp. 157–168, https://doi.org/10.1016/j.rse.2014.09.020.
- Dzwonkowski B., Yan X.-H., Tracking of a Chesapeake Bay estuarine outflow plume with satellite-based ocean color data, Continental Shelf Research, 2005, V. 25, pp. 1942–1958, DOI: 10.1016/j.csr.2005.06.011.
- Johnson D. R., Weidemann A., Arnone R. et al., Chesapeake Bay outflow plume and coastal upwelling events: physical and optical properties, J. Geophysical Research, 2001, V. 106, pp. 11613–11622, https://doi. org/10.1016/j.rse.2013.08.015.
- Lavrova O. Yu., Soloviev D. M., Strochkov M. A. et al., River plumes investigation using Sentinel 2A MSI and Landsat 8 OLI data, Proc. SPIE, 2016, V. 9999, Article 99990G, https://doi.org/10.1117/12.2241312.
- Maciel F. P., Pedocchi F., Evaluation of ACOLITE atmospheric correction methods for Landsat-8 and Sentinel-2 in the Río de la Plata turbid coastal waters, Intern. J. Remote Sensing, 2022, V. 43, pp. 215–240, https://doi.org/10.1080/01431161.2021.2009149.
- Nazirova K., Alferyeva Y., Lavrova O. et al., Comparison of in situ and remote-sensing methods to determine turbidity and concentration of suspended matter in the estuary zone of the Mzymta river, Black Sea, Remote Sensing, 2021, V. 13, No. 1, Article 143, https://doi.org/10.3390/rs13010143.
- Nechad B., Ruddick K. G., Park Y., Calibration and validation of a generic multisensor algorithm for mapping of total suspended matter in turbid waters, Remote Sensing of Environment, 2010, V. 114, pp. 854–866, https://doi.org/10.1016/j.rse.2009.11.022.
- Nechad B., Ruddick K., Schroeder T. et al., Coastcolour round robin datasets: a database to evaluate the performance of algorithms for the retrieval of water quality parameters in coastal waters, Earth System Science Data, 2015, V. 7, No. 7, pp. 319–348, https://doi.org/10.5194/essd-7-319-2015.
- Osadchiev A., Sedakov R., Spreading dynamics of small river plumes off the northeastern coast of the Black Sea observed by Landsat-8 and Sentinel-2, Remote Sensing Environment, 2019, V. 221, pp. 522–533, DOI: 10.1016/j.rse.2018.11.043.
- Vanhellemont Q., Sensitivity analysis of the dark spectrum fitting atmospheric correction for metre- and decametre-scale satellite imagery using autonomous hyperspectral radiometry, Optics Express, 2020, V. 28, pp. 29948–29965, https://doi.org/10.1364/OE.397456.