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    Conference

    المؤلفون: Dzholumbetov, S. K., Ekaterina, N.

    المصدر: 29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics ; Proceedings of SPIE - The International Society for Optical Engineering

    وصف الملف: application/pdf

    Relation: Dzholumbetov, S & Nagovitsyna, E 2023, Estimation of the atmospheric aerosol concentration over the territory of the Ural Federal District based on CALIPSO satellite data: book chapter. в O Romanovskii (ред.), 29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics 2023, Proceedings: book. Том. 12780, 127805M, Proceedings of SPIE - The International Society for Optical Engineering, Том. 12780, SPIE, XXIX International Symposium "Atmospheric and Ocean Optics, Atmospheric Physics", 26/06/2023. https://doi.org/10.1117/12.2690407; Dzholumbetov, S., & Nagovitsyna, E. (2023). Estimation of the atmospheric aerosol concentration over the territory of the Ural Federal District based on CALIPSO satellite data: book chapter. в O. Romanovskii (Ред.), 29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics 2023, Proceedings: book (Том 12780). [127805M] (Proceedings of SPIE - The International Society for Optical Engineering; Том 12780). SPIE. https://doi.org/10.1117/12.2690407; Final; All Open Access, Bronze; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176235655&doi=10.1117%2f12.2690407&partnerID=40&md5=6a83db3bf7eafb80e594f8808f77c0a1; https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12780/127805M/Estimation-of-the-atmospheric-aerosol-concentration-over-the-territory-of/10.1117/12.2690407.pdf; http://elar.urfu.ru/handle/10995/130938; 85176235655

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    Conference

    المساهمون: Habte, Aron

    المصدر: Conference: Presented at the NASA Goddard MERRA-2 Applications Workshop, 19 June 2017, Greenbelt, Maryland

    وصف الملف: Medium: ED; Size: 644 KB

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    المصدر: Remote Sensing; Volume 15; Issue 10; Pages: 2672

    جغرافية الموضوع: agris

    وصف الملف: application/pdf

    Relation: Atmospheric Remote Sensing; https://dx.doi.org/10.3390/rs15102672