LAND COVER CLASSIFICATION OF CARPATHIANS USING TERRESTRIAL CHLOROPHYLL INDEX AND RED EDGE POSITION FROM SPECTROMETER MERIS DATA
The results of preliminary study of the use of the spectrometer MERIS for land cover classification of the Ukrainian Carpathians are given. In the study the data from ENVISAT MERIS (16.04.2004) with coarse spatial resolution (1200 m) have been used, on the basis of the satellite data the pixel values of indices REP, MTCI and NDVI have been calculated for the study area. Minimum distance method has been applied for land cover classification using created data set on the base of these indices. The results showed that the ENVISAT MERIS image with coarse spatial resolution provides an average classification result: coniferous forests and snow7capped peaks have been well allocated. Land cover classification using index sets REP and MTCI gives better results than the classification based on the values of reflection. The results showed a good correlation between REP and MTCI and a high potential for ecosystem monitoring in mountainous areas using a combination of both indices.
Fundamentals of remote sensing