Review articles |
| I.V. Balashov, O.A. Khalikova, M.A. Burtsev, E.A. Loupian, A.M. Matveev Organization of automatic data acquisition from satellite and meteorological data archiving and distribution centers | 9-20 |
| A.E. Platonov, K.A. Gridneva, V.A. Dolgin, N.M. Kolyasnikova, O.V. Platonova, A.V. Titkov The use of satellite remote sensing for monitoring and forecasting of vector-borne infections | 21-32 |
| S.A. Lebedev Satellite altimetry in the Earth Sciences | 33-49 |
Satellite data processing |
| E.L. Muzylev, A.B. Uspensky, Z.P. Startseva, E.V. Volkova, A.V. Kucharsky, S.A. Uspensky Simulation of the water regime of a vast agricultural region territory utilizing measurement data from geostationary meteorological satellites | 53-65 |
| E.V. Volkova Automatic estimation of cloud cover and precipitation parameters obtained by AVHRR NOAA for day and night conditions | 66-74 |
| V.N. Ostrikov, S.I. Smirnov, V.V. Mikhailov Two-step algorithm for the classification of hyperspectral data in the space of the spectral brightness coefficients of aerial photography | 75-84 |
| S.N. Katamanov Development of automatic method navigation for MVISR imagery of polar-orbital satellite FengYun-1D | 85-93 |
| B.S. Zhukov Analysis of the accuracy of spatial-frequency correction techniques for smeared space images | 94-105 |
| A.A. Ilyin, A.N. Vinogradov, V.V. Egorov, A.P. Kalinin, A.I. Rodionov Mathematical images processing for remote sensing system using the electron-optical image intensifier | 106-113 |
| I.A. Krasnova, N.S. Erokhin, N.N. Zolnikova, L.A. Mikhailovskaya The analysis of generalized scale invariability for the electric field turbulence in thunderstorm clouds | 114-121 |
| V.K. Donchenko, D.A. Samulenkov, I.N. Melnikova, A.S. Boreisho, A.V. Chugreyev Laser systems of the SPSU Resource Center. Potentials, problem definitions, and first results | 122-132 |
Development and application of satellite monitoring systems of the environment |
| L.M. Mitnik, M.L. Mitnik, E.V. Zabolotskikh Japan satellite GCOM-W1: simulation, calibration and first results of the retrievals of atmospheric and oceanic parameters | 135-141 |
| M.T. Smirnov, D.M. Ermakov, S.M. Maklakov, A.A. Khaldin, A.E. Maksimov Experiment in passive microwave remote sensing of the Earth in L-band from a small satellite, the first results | 142-149 |
| Yu.B. Khapin, A.V. Kuzmin, A.G. Semin, A.V. Uteev On the limit characteristics of satellite radiometer-spectrometer in the range of 6...220 GHz | 150-159 |
| T.V. Kondratieva, A.V. Nikitin, I.V. Polyanskiy Accuracy of spatial data automatic gridding of Satellite Multiband Imaging System through flight operation | 160-175 |
Remote sensing of ocean surface and ice cover |
| L.M. Kitaev, T.B. Titkova The connectiоn of Arctic Sea ice changes and winter meteorological conditions of northern Eurasia | 179-192 |
| G.S. Bordonskiy, A.A. Gurulev, A.O. Orlov, S.V. Tsyrenzhapov Study of the mechanism of additional electromagnetic waves generation in ice structures and the possible tasks of remote sensing | 193-200 |
| V.N. Malinin, S.M. Gordeeva, N.I. Glock On estimation of the World Ocean Heat Content based on satellite sea surface temperature data | 201-207 |
| O.O. Trusenkova Assessment of short-period oscillations of surface temperature in the Japan Sea with the use of satellite data | 208-216 |
| I.E. Kurbatova Utilization of space-based information for monitoring the environmental systems of the Tsimlyansk Reservoir coasts | 217-227 |
| N.A. Kalashnikova, O.Yu. Lavrova, M.I. Mityagina, A.N. Serebryany Influence of vortex structures on the spread of pollution in the coastal zone | 228-240 |
Remote sensing of vegetation and soils |
| Vasily M. Zhirin, Svetlana P. Eydlina, Svetlana V. Knyazeva Silvicultural analysis of the fires effects on the base of space images | 243-259 |
| V.V. Elsakov, M.Y. Teljatnikov Effects of interannual climatic fluctuations of the last decade on NDVI in north-eastern European Russia and Western Siberia | 260-271 |
| S.A. Khvostikov, S.V. Venevsky, S.A. Bartalev Regional parametrisation of Dynamic Global Vegetation Model SEVER based on assimilation of remote sensing data derived land cover map for Russia | 272-285 |