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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, 2014, Vol. 11, No. 3, pp. 159-170

Forest tree species recognizability assessment based on satellite data on their spectral reflectance seasonal changes

V.O. Zharko1 , S.A. Bartalev1 
1 Space Research Institute RAS, Moscow, Russia
Dominant tree species is an important characteristic of Russian forests, whereas current forest inventory and monitoring methods do not allow obtaining information on this parameter regularly at the scale of the whole country. Thus the development of satellite data based forests’ species structure remote assessment methods, which enable obtaining necessary information over large areas, is of interest. Presented in the paper are the results of the experimental recognizability assessment of different dominant forest species for two test sites, selected to ensure high species diversity of coniferous and broadleaf forests. The analysis of dominant forest species recognizability was based on phenological dynamics features of their spectral reflectance, measured using MODIS spectroradiometer. Comparative tree species recognizability assessment based on weekly and seasonal surface spectral reflectance composite images has been carried out. The probability of misrecognition between different forest tree species was evaluated for the chosen test sites. The results obtained demonstrate good potential of using high temporal resolution satellite data on phenological dynamics of forests’ spectral reflectance to identify main dominant forest species.
Keywords: remote sensing, spectral reflectance, satellite data time series analysis, forest tree species recognition
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