| Reviews |
| S.S. Shinkarenko, S.А. Bartalev
Application of remote sensing data for wetlands large-scale monitoring | 9-34 |
| M.O. Kuchma, S.I. Malkovsky, A.I. Andreev, V.D. Bloshchinsky
Neural network approaches to precipitation nowcasting: A review and test of existing methods | 35-48 |
| Satellite data processing: methods and techniques |
| A.G. Terekhov, G.N. Sagatdinova, R.I. Mukhamediev, I.Yu. Savin, E.N. Amirgaliyev, S.B. Sairov
Prospects for the use of pseudo-color image processing in analysis of long-term time series of satellite data in the task of assessing vegetation cover state | 51-66 |
| O.A. Mitrofanova, E.P. Mitrofanov, I.S. Blekanov, A.E. Molin
Specialized dataset of multispectral aerophotos for solving precision farming problems using artificial intelligence methods | 67-79 |
| G.V. Shevchenko, A.A. Romanov
On the importance of tidal correction for calculation of mean sea level surfaces from IMMOAD SSHA satellite altimetry data | 80-91 |
| M.A. Medvedeva, V.Yu. Itkin, A.A. Sirin
Analysis of temperature anomaly indicators to identify peat fires | 92-116 |
| I.N. Sadovsky, E.V. Pashinov, D.S. Sazonov
Analysis of the possibility to calculate atmospheric greenhouse gas balance elements using modern satellite remote sensing data | 117-128 |
| S.V. Eremeev, A.V. Abakumov, D.E. Andrianov, I.V. Bogoyavlensky, R.A. Nikonov
Detection of perennial heaving mounds in digital elevation model images using decomposition by topological features | 129-143 |
| V.V. Eremeev, N.A. Egoshkin, A.A. Makarenkov, V.A. Ushenkin, O.V. Postylyakov
Enhancement of Earth remote sensing data processing by artificial intelligence technologies utilizing system analysis of the signal transmission chain | 144-154 |
| Instruments and systems for satellite remote sensing |
| A.N. Bormotov, D.I. Orlov, E.S. Khnyryova, M.E. Bratkova
Experience in applying the algorithm for unloading the flywheel engine using magnetic actuators to ensure the stabilization of the Aist-2D remote sensing satellite | 157-164 |
| Developing information systems for remote monitoring: methods and technologies |
| I.O. Pochinok, I.M. Lazareva, O.I. Lyash
Satellite data analysis to identify forest fires in Murmansk Region using convolutional neural networks | 167-176 |
| Remote sensing of vegetation and soils |
| V.B. Malyshev, B.N. Fomin, N.S. Ozerov, Yu.V. Belyaev, S.I. Gulyaeva
Spectral studies of landscapes of the Ksudach volcano, South Kamchatka | 179-194 |
| E.A. Terekhin
Estimating the spectral reflectance and possibility of recognizing natural landscapes in forest-steppe zone using Sentinel-2 data | 195-207 |
| Remote sensing of water objects, ocean and ice cover |
| S.P. Khudyakova, V.S. Travkin, T.V. Belonenko
Mesoscale eddies of the Aleutian Trench | 211-221 |
| A.N. Romanov, I.V. Khvostov, I.V. Ryabinin, D.A. Romanov
Towards the development of a remote microwave indicator of hydrological drought (case study of seasonal drying of a hyperhaline lake) | 222-233 |
| I.N. Sadovsky, D.S. Sazonov
Experimental studies of rough sea surface effective emissivity | 234-246 |
| V.A. Dobrokhotov, S.A. Ermakov, I.A. Sergievskaya
Laboratory study of Ka-band radar scattering and wave damping on water covered with plastic film | 247-257 |
| A.I. Ginzburg, N.A. Sheremet, A.G. Kostianoy, O.Yu. Lavrova
On horizontal water circulation in Lake Sevan (satellite information) | 258-275 |
| A.G. Kostianoy, E.A. Kostianaia, O.Yu. Lavrova, A.Ya. Strochkov
Satellite monitoring of ice cover in the Sea of Azov in winter 2022/2023 | 276-288 |
| V.N. Baklagin, I.S. Novikova
Dynamics of chlorophyll a concentration in Lake Onego according to satellite observations in 1998-2022. | 289-302 |
| S.V. Stanichny, A.V. Medvedeva
Quasi-permanent sources of film pollution of the sea surface in the Sea of Marmara | 303-310 |
| Remote sensing of atmosphere and climate |
| E.V. Pashinov, S.A. Vturin, D.M. Ermakov, I.N. Sadovsky
Development of a methodology for balance calculations of greenhouse gas emissions based on satellite monitoring data using the example of large forest fires | 313-325 |
| In brief |
| V.V. Tikhonov, T.A. Alekseeva, E.V. Afanasyeva, J.V. Sokolova, I.V. Khvostov, A.N. Romanov
On the possibility to determine the concentration of Arctic sea ice using SMOS satellite data | 329-335 |
| L.M. Mitnik, A.V. Baranyuk, M.L. Mitnik
Typhoon Hinnamnor (2022): Impact on the Far Eastern seas, Primorsky and Khabarovsk Krais based on active and passive microwave sensing data from space | 336-345 |
| K.A. Troshko, P.V. Denisov, Ie.A. Dunaieva, E.A. Loupian, D.E. Plotnikov, V.A. Tolpin
Features of the development of agricultural crops in Russia in 2023 based on satellite observations data | 346-352 |
| D.M. Ermakov, E.A. Loupian
All-Russia Seminar “Problems in Remote Sensing of the Earth from Space” | 353-358 |
| O.Yu. Lavrova, E.A. Loupian, S.А. Bartalev, D.A. Kobets
21st International Conference “Current Problems in Remote Sensing of the Earth from Space” | 359-365 |
| E.A. Loupian, O.Yu. Lavrova, T.Yu. Bocharova
Twenty years of the journal “Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa” | 366-370 |
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| Imprint page
| 371 |