hydrophysicsФундаментальная и прикладная гидрофизикаFundamental and Applied Hydrophysics2073-66732782-5221St. Petersburg Research Center of the Russian Academy of Sciences10.7868/S2073667320020070hydrophysics-102Research ArticleГИДРООПТИКАHYDROOPTICSОригинальная методика валидации спутниковых данных в условиях сильной пространственно-временной изменчивости оптических свойств воды внутренних эвтрофных водоемовApproach of non-station-based in situ measurements for high resolution satellite remote sensing of productive and highly changeable inland watersМольковА. А.MolkovA. A.

603950, ул. Ульянова, д. 46, г. Нижний Новгород

603950, Ulyanova Str., 46, Nizhny Novgorod

a.molkov@inbox.ruПелевинВ. В.PelevinV. V.

117997, Нахимовский пр., д. 36, г. Москва

117997, Nahimovsky Prospekt, 36, Moscow

КорчемкинаЕ. Н.KorchemkinaE. N.

299011, Капитанская ул., д. 2, г. Севастополь

299011, Kapitanskaya Str., 2, Sevastopol

Институт прикладной физики РАНРоссияInstitute of Applied Physics RASRussian FederationИнститут океанологии им. П.П. Ширшова РАНРоссияShirshov Institute of Oceanology RASRussian FederationМорской гидрофизический институт РАНРоссияMarine Hydrophysical Institute RASRussian Federation2020011220211326067Copyright © Мольков А.А., Пелевин В.В., Корчемкина Е.Н., 20212021Мольков А.А., Пелевин В.В., Корчемкина Е.Н.Molkov A.A., Pelevin V.V., Korchemkina E.N.This work is licensed under a Creative Commons Attribution 4.0 License.https://hydrophysics.spbrc.ru/jour/article/view/102

Региональные биооптические модели восстановления концентраций оптически активных компонентов воды для внутренних водоемов строятся по всему миру. Эта задача оказывается особенно трудной в условиях сильной пространственно-временной изменчивости оптических свойств воды вследствие регулярных неоднородных течений, ветрового форсинга и плюмов впадающих рек. В этом случае результаты традиционных подспутниковых измерений на станциях для описания сезонного состояния водоема или для валидации спутниковых данных теряют информативность, а иногда и рациональность. В качестве альтернативы нами был предложен оригинальный подход, заключающийся в непрерывной синхронной регистрации яркости воды портативным спектрометром и концентраций ее оптически активных компонентов флуоресцентным лидаром с борта скоростного судна. Такой подход обеспечил возможность сбора данных с высоким пространственным и временным разрешениями (8 м и 1 Гц соответственно) с больших площадей за короткий промежуток времени, внутри которого можно считать, что пространственное распределение биооптических характеристик воды остается неизменным. Одновременно с этим эффективность метода не падает и при полевых работах в условиях разрывной облачности. В результате он был успешно применен для создания статистически достоверных моделей восстановления концентраций хлорофилла-а и общей взвеси по спутниковым изображениям высокого разрешения Sentinel-2 и Sentinel-3 применительно к водам Горьковского водохранилища как примера эвтрофного динамичного водоема.

Regional bio-optical models of water constituent retrieval for lakes and reservoirs are developed all over the world. It is especially difficult for reservoirs with high spatio-temporal variability of the water optical properties due to heterogeneous currents, plumes and irregular wind forcing. In this case, the usage of the traditional station-based sampling to describe the seasonal state of the reservoir or to validate satellite data may be uninformative or even irrational for a variety of reasons. As an alternative, an original approach based on simultaneous in situ measurements of the remote sensing reflectance by a spectrometer and concentration of water constituents by an ultraviolet fluorescence LiDAR from a high-speed gliding motorboat was proposed. This approach provides fast data collection with high spatial and temporal resolutions, i. e. 8 m and 1 Hz, respectively, from a large area in a short time interval within the spatial distribution of the hydro-optical characteristics do not change. Besides, the presented approach remains efficient in condition of broken cloud coverage. It was successfully applied for develop high-resolution and statistically reliable Chl-a and TSM models by Sentinel-2 and Sentinel-3 images of the Gorky Reservoir as an example of eutrophic productive and highly changeable inland waters.

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The authors declare that there are no conflicts of interest present.