Source: http://ao.iao.ru/en/content/vol.29-2016/iss.07
Timestamp: 2019-04-20 12:31:24+00:00

Document:
Kozodyorov V.V., Dmitriev E.V. Direct and inverse problems of hyperspectral remote airborne sensing. // Optika Atmosfery i Okeana. 2016. V. 29. No. 07. P. 533-540 [in Russian].
Nikolaeva O.V. The algorithm for retrieving surface albedo via multispectral remote sensing data of high spatial resolution. // Optika Atmosfery i Okeana. 2016. V. 29. No. 07. P. 541-547 [in Russian].
Nikolaeva O.V. Studying the Accuracy of the Algorithm for Retrieving the Surface Albedo with High Spatial Resolution from a Fragment of a Satellite Image. // Atmospheric and Oceanic Optics, 2016, V. 29. No. 05. pp. 526–532.
Zapevalov A.S., Lebedev N.E., Stanichnyi S.V. Inversion of optical contrasts between ripple and slick areas. // Optika Atmosfery i Okeana. 2016. V. 29. No. 07. P. 548–552 [in Russian].
Zapevalov A.S., Lebedev N.E. and Stanichny S.V. Optical Contrast Inversion at Slick–Ripple Interfaces. // Atmospheric and Oceanic Optics, 2017, V. 30. No. 01. pp. 50–54.
Grigorieva O.V., Zhukov D.V., Markov A.V., Mochalov V.F. The assessment of the coastal water depths using multi- and hyperspectral remote sensing imagery. // Optika Atmosfery i Okeana. 2016. V. 29. No. 07. P. 553-559 [in Russian].
Grigorieva O.V., Zhukov D.V., Markov A.V. and Mochalov V. F. The Retrieval of the Coastal Water Depths from Data of Multi- and Hyperspectral Remote Sensing Imagery. // Atmospheric and Oceanic Optics, 2017, V. 30. No. 01. pp. 7–12.
Zhukov D.V. Spectral features for identification of the typical pollution of sea waters from aviation and space imageries. // Optika Atmosfery i Okeana. 2016. V. 29. No. 07. P. 560-565 [in Russian].
Zhukov D.V. Spectral Features for Identification of the Typical Contaminations of Sea Water from Aerospace Imagery. // Atmospheric and Oceanic Optics, 2017, V. 30. No. 01. pp. 13–17.
Ostrikov V.N., Plakhotnikov O.V., Kirienko A.V., Smirnov S.I. Estimation of nitrogen and potassium content in plant biomass for atmospheric corrected hyperspectral remote sensing data. // Optika Atmosfery i Okeana. 2016. V. 29. No. 07. P. 566-571 [in Russian].
Katsev I.L., Zege E.P., Prikhach A.S. Atmosphere aerosol microphysical model for Belarus and adjacent regions. // Optika Atmosfery i Okeana. 2016. V. 29. No. 07. P. 572-578 [in Russian].
Astafurov V.G., Skorokhodov A.V. Identification of atmospheric gravity waves сloud views above water surface by satellite imagery MODIS. // Optika Atmosfery i Okeana. 2016. V. 29. No. 07. P. 579-584 [in Russian].
Astafurov V.G. and Skorokhodov A.V. Identification of Atmospheric Gravity Waves in Clouds over a Water Surface from MODIS Imagery. // Atmospheric and Oceanic Optics, 2017, V. 30. No. 01. pp. 44–49.
Dagurov P.N., Dmitriev A.V., Dobrynin S.I., Zakharov A.I., Chimitdorzhiev T.N. Radar interferometry of the soil’s seasonal deformations and the phase model of backscattering of microwaves by a two-layer medium with rough boundaries. // Optika Atmosfery i Okeana. 2016. V. 29. No. 07. P. 585-591 [in Russian].
Polishchuk Yu.M., Muratov I.N., Polishchuk V.Yu. Study of fields of small thermokarst lakes in the continuous permafrost of Western Siberia by high resolution satellite images. // Optika Atmosfery i Okeana. 2016. V. 29. No. 07. P. 592-597 [in Russian].
Tomshin O.A., Solov'ev V.S. Study of large-scale inhomogeneities of aerosol fields caused by forest fires in Siberia. // Optika Atmosfery i Okeana. 2016. V. 29. No. 07. P. 598-602 [in Russian].
Gorbatenko V.P., Nechepurenko O.E., Krechetova S.Yu., Belikova M.Yu. The verification of atmospheric instability parameters recovered by spectroradiometer MODIS/Terra with data from upper-air soundings. // Optika Atmosfery i Okeana. 2016. V. 29. No. 07. P. 603-607 [in Russian].
Zakharov V.I., Gribanov K.G., Imasu R., Noone D. Method of principal components for inverse problem of satellite sounding of heavy water in the atmosphere. // Optika Atmosfery i Okeana. 2016. V. 29. No. 07. P. 608-614 [in Russian].

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