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  1. Isaev A.S., Bartalev S.A., Loupian E.A., Lukina N.V. Earth observations from satellites as a unique instrument to monitor Russia’s forests // Herald of the Russian Academy of Sciences. 2014. Vol. 84. Issue 6. P. 413-419. DOI: 10.1134/S1019331614060094.
  2. Pyrkov V.N., Belokon Z.S., Gordov A.A., Degai A. Yu., Solodilov A.V., Chernyh V.N. Study of the possibility of comparing the identifiers of the automatic identification system (AIS) vessels and the Department monitoring system of the Federal Agency for Fisheries (OCM) on the basis of symbolic reference information // Current Trends in Agriculture, III International Scientific Internet Conference: IP Materials Sinyaev DN, Kazan, 09 October 10, 2014. P. 97-103.
  3. Loupian E.A., Milexin O.E., Antonov V.N., Kramareva L.S., Burtsev M.A., Balashov I.V., Tolpin V.A., Solovyev V.I. System of operation of joint information resources based on satellite data in the Planeta Research Centers for Space Hydrometeorology // Russian Meteorology and Hydrology. 2014. No. 12. P. 847-853.
  4. Rutkevich P.B., Golitsyn G.S., Rutkevich B.P. Cloudness Formation Over Ocean Due to Intrusion of Cold Air // Preprint, 2014. № 2175. 39 p.
  5. Proshin A.A., Pyrkov V.N., Chernyh V.N., Degai A. Yu., Krichevets B.S. Development of a technology to ensure continual ship positions tracking for the Sectoral Fisheries Monitoring System // Actual Problems of Remote Sensing of the Earth from Space. 2014. Vol.11. No 4. P. 103-110.
  6. Bartalev S.S., Lavrova O. Yu., Loupian E.A. All-Russia science School & Conference on the fundamentals of remote sensing of the Earth from space: the first decade // Actual Problems of Remote Sensing of the Earth from Space, 2014. Vol.11. No. 4. P. 313-320.
  7. Bartalev S.A., Egorov V.A., Loupian E.A., Khvostikov S.A. A new locally-adaptive classification method LAGMA for large-scale land cover mapping using remote-sensing data // Remote Sensing Letters. 2014. 5(1). P. 55-64. DOI: 10.1080/2150704X.2013.870675 .
  8. Bartalev S.S., Kissiyar O., Achard F., Bartalev S.A., Simonetti D. Assessment of forest cover in Russia by combining a wall-to-wall coarse-resolution land-cover map with a sample of 30 m resolution forest maps // International Journal of Remote Sensing. 2014. Vol. 35. No. 7. P. 2671-2692. DOI: 10.1080/01431161.2014.883099.
  9. Bartalev S.A., Loupian E.A., Stytsenko F.V., Panova O. Yu., Efremov V. Yu. Rapid Mapping of Forest Burnt Areas over Russia Using Landsat Data // Actual Problems of Remote Sensing of the Earth from Space. 2014. Vol. 11. No. 1. P. 9-20.
  10. Lavrova O. Yu., Mityagina M.I., Uvarov I.A. Detection and Recognition of Various Water Types in Black Sea Coastal Zone and in Lakes of Crimea Based on Hyperspectral Data Analysis // Actual Problems of Remote Sensing of the Earth from Space. 2014. Vol. 11. No. 1. P. 135-147.
  11. Uvarov I.A., Loupian E.A., Matveev A.M., Mazurov A.A., Lavrova O. Yu., Mityagina M.I. Managing the Workflow of the Hyperspectral Satellite Observation Data Analysis for Studying the Processes in the World Ocean // Actual Problems of Remote Sensing of the Earth from Space. 2014. Vol. 11. No. 1. P. 200-212.
  12. Uvarov I.A., Matveev A.M., Burtsev M.A., Loupian E.A., Mazurov A.A., Proshin A.A., Savorsky V.P., Sudneva O.A. Distributed data management of hyperspectral remote sensing data for scientific purposes and appliсations // Actual Problems of Remote Sensing of the Earth from Space. 2014. Т. 11. №. 1. P. 322-333.
  13. Gordeev E.I., Girina O.A., Loupian E.A., Efremov V. Yu., Sorokin A.A., Melnikov D.V., Manevich A.G., Romanova I.M., Korolev S.P., Kramareva L.S. Using satellite hyperspectral data to study the activity of Kamchatka volcanoes on the basis of the VolSatView geoportal // Actual Problems of Remote Sensing of the Earth from Space. 2014. Vol. 11. No. 1. P. 267-284.
  14. Huttich C., Eberle J., Schmullius, C., Bartalev S.A., Emelyanov K.S., Korets, M., Shvidenko A., Schepaschenko D. Supporting a Forest Observation System for Siberia: Earth Observation for Monitoring, Assessing and Providing Forest Resource Information // IEEE Earthzine, posted on July 16th, 2014 in Earth Observation. 2014.
  15. Huttich C., Korets, M., Bartalev S.A., Zharko V.O., Schepaschenko D., Shvidenko A., Schmullius, C. Exploiting Growing Stock Volume Maps for Large Scale Forest Resource Assessment: Cross-Comparisons of ASAR- and PALSAR-Based GSV Estimates with Forest Inventory in Central Siberia // Forests. 2014. N 5. P. 1753-1776.
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