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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2011, Vol. 8, No. 2, pp. 246-254

Remote sensing of forests in context of global change

A.A. Chukhlantsev , V.P. Savorskij 
Institute of Radio Engineering and Electronics, RAS, 141190 Friazino Moscow region, 1 Vvedensky Sq
Remote sensing of forests sanitary state and damage is one of the basic mean of forest monitoring and conservation. Remote sensing of forests also can be applied to the study of their role in forming and changing climate. Climatic trends depend on the state of global vegetation. To understand this dependence, global climatic models utilize vegetation parameters which can be retrieved from remote sensing data. Particularly, some models use NDVI to calculate absorbed photo synthetically active radiation and estimate the rate of transpiration and photosynthesis. To estimate components of radiation balance in the system soil-vegetation-atmosphere, soil moisture and temperature, vegetation biomass, parameters of atmospheric border layer, and other parameters should be known. In this research, the potential of remote sensing means for estimation of these parameters are analyzed. The types and parameters of sensors for satellite monitoring of forests are proposed.
Keywords: remote sensing, forest ecosystems, global climatic change
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References:

  1. Bourgeau-Chavez, L.L., Kasischke, E.S., French, N.H.F., Szeto, L.H., Kherkher, C.M., Proceedings of IGARSS’94, Pasadena, 1994, pp. 243-245.
  2. Cloude S.R., Papathanassiou K.P., IEEE Trans. on Geoscience and Remote Sensing, 1998, Vol. 36, No. 5, pp. 1551-1565.
  3. Keil M., Akgoz E., Carl S., Forster B., Hausler T., Johlige A., Lauter M., Martin K., Proceedings of IGARSS’99, Hamburg, 1999, pp. 293-295.
  4. Kondratyev K.Ya., Krapivin V.F., Varotsos C.A., Global Carbon Cycle and Climate Change, Chichester, UK: Springer/Praxis, 2008, 561 p.
  5. Kuntz S., Seigert F., Ruker G., Proceedings of IGARSS’99, Hamburg, 1999, pp. 910-912.
  6. Le Toan T., Beaudoin A., Riom J., Guyon D., IEEE Trans. on Geoscience and Remote Sensing, 1992, Vol. 30, No. 2, pp. 403-411.
  7. Medvedeva M.A., Savin I.Yu., Bartalev S.A., Loupian E.A., The 30th Asian Conference on Remote Sensing, Beijing China, 2009, 18-23 October, p. 6.
  8. Pampaloni P., Waves in Random Media, 2004, Vol. 14, pp. S275-S298.
  9. Pellarin T., Wigneron J.-P., Calvet J.-C., Berger M., Douville H., Ferrazzoli P., Kerr Y.H., Lopez-Baesa E., Pulliainen J., Simmonds L.P., Waldteufel P., IEEE Trans. Geosci. Remote Sensing, 2003, Vol. 41, pp. 2135-2139.
  10. Bartalev S.A., Razrabotka metodov otsenki sostoyaniya i dinamiki lesov na osnove dannykh sputnikovykh nablyudenii. Dissertatsiya na soiskanie uchenoi stepeni doktora tekhnicheskikh nauk (Development of methods of assessment of the status and dynamics of forests, based on the data of satellite observations. The dissertation on competition of a scientific degree of the doctor of technical Sciences), Moscow: IKI RAN, 2007, 291 p.
  11. Bartalev S.A., Ershov D.V., Isaev A.S., Issledovanie Zemli iz kosmosa, 1999, No. 4, pp. 76-86.
  12. Bartalev S.A., Isaev A.S., Antropogennaya transformatsiya taezhnykh ekosistem Evropy: ekologicheskie, resursnye i khozyaistvennye aspekty (Anthropogenic transformation of taiga ecosystems of Europe: environmental, resource and economic aspects), Petrozavodsk: IL KarNTs RAN, 2004, pp. 18-28.
  13. Bartalev S.A., Isaev A.S., Lupyan E.A., Sibirskii ekologicheskii zhurnal, 2005, No. 6, Vol. 12, pp. 1039-1054.
  14. Valendik E.M., Kislyakov E.K., Sukhinin A.I., Issledovanie Zemli iz kosmosa, 1980, No. 3, pp. 14-19.
  15. Grankov A.G., Kuznetsov O.O., Mil'shin A.A., Shelobanova N.K., Problemy okruzhayushchei sredy i prirodnykh resursov, 1999, No. 10, pp. 2-14.
  16. Kirdyashev K.P., Savorskij V.P., Radiotekhnika i elektronika, 1986, Vol. 31, pp. 1239-1241.
  17. Kirdyashev K.P., Chukhlantsev A.A., Shutko A.M., Radiotekhnika i elektronika, 1979, Vol. 24, No. 2, pp. 256-264.
  18. Mil'shin A.A., Grankov A.G., Issledovanie Zemli iz kosmosa, 2000, No. 3, pp. 50-57.