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Land cover classification in Ukrainian Carpathians using the MERIS terrestrial chlorophyl index and red edge position from envisat MERIS data

This paper describes the results of a preliminary study towards the use of MERIS data for land cover classification in the Ukrainian Carpathians. The work is carried out in the frames of BEAR initiative of ESA, which aims are supporting the formation of research networks between Europe, Russia and Ukraine, as well as promoting the use of data from Earth Observation satellites from ESA, Russia and Ukraine together. The our research focus on monitoring of forests state of investigated region according the following thematic of the GMES initiative of ESA and the European Commission “Forest changes and global carbon monitoring”. Remote sensing is the appropriate tool for monitoring large areas in almost inaccessible mountainous region. Availability of fifteen MERIS channels in VIS and NIR domains of the electromagnetic spectrum allows calculating the red edge indices: the Red Edge Position (REP) and the MERIS Terrestrial Chlorophyll Index (MTCI). The results of calculation have shown that MERIS images with the coarse space resolution of 1200 m provide only the mean findings of classification: only coniferous forests are well classified. The classification using REP and MTCI gives the better results that with reflectance by the method of minimum distance to means (MMDM). Areas occupied by coniferous, deciduous and mixed forests were specified within the limits of investigated regions. MTCI is sensitive to broad range of the chlorophyll contents and much less sensitive to topographical effect in mountain region. The results show the good correlation between REP and MTCI and high potential for monitoring for the ecosystems in the mountain regions using the combination of both indices.