Land cover classification in Ukrainian Carpathians using the MERIS terrestrial chlorophyl index and red edge position from envisat MERIS data
|1Lyalko, VI, 1Shportiuk, ZM, 1Sakhatsky, OI, 1Sibirtseva, ОN |
1State institution «Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Sciences of the National Academy of Sciences of Ukraine», Kyiv, Ukraine
|Kosm. nauka tehnol. 2006, 12 ;(5-6):010-014|
|Publication Language: Ukrainian|
We present some results of a preliminary study of the possibility to use MERIS data for land cover classification in the Ukrainian Carpathians. The ENVISAT MERIS data (16 April 2004) with a rough space resolution of 1200 m are used to calculate the red edge indices: the Red Edge Position (REP), MERIS Terrestrial Chlorophyll Index (MTCI) and NDVI. The classification using REP and MTCI images gives better results that with reflectance by the method of minimum distance to means (MMDM). The calculation results showed that the MERIS image with a rough space resolution provided moderate classification results: only coniferous forests and snow are well classified. MTCI is sensitive to a broad range of the chlorophyll contents and much less sensitive to topographical effect in mountain region. The investigation results show a good correlation between REP and MTCI and a high potential for monitoring for the ecosystems in mountain regions using a combination of both indices.
|Keywords: chlorophyl index, data, red edge|
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