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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. 2, pp. 187-196

Vegetation cover changes mapping within Kiev metropolis agglomeration using long-term time series of Landsat multispectral satellite imagery

S.A. Stankevich1 , I.O. Piestova1 
1 Scientific Centre for Aerospace Research of the Earth (CASRE), Institute of Geological Science, National Academy of Sciences of Ukraine, Kiev, Ukraine
The results of vegetation cover changes mapping within Kiev metropolis agglomeration using remote sensing data are presented. Kiev metropolis agglomeration imagery, obtained by Landsat satellite system from 1992 to 2011, was analyzed. More than 40 multispectral images, satisfying the research requirements, were selected for detailed analysis. All are within the growing season for many plants inside Kiev metropolis agglomeration. After the radiometric calibration the thresholds of normalized-difference vegetation index (NDVI) were obtained and vegetation mask was built using them. Leaf area index LAI is selected as the main quantitative indicator of vegetation cover. The following basic classes for Kiev metropolitan habitats were detected and mapped: coniferous and deciduous forests, arable lands, meadows and pastures, lands with sparse vegetation. For each of the classes, the NDVI-LAI regression dependence was applied and LAI spatial distribution of study area was built. The parameters of LAI long-term time series analysis – trends and periodic components - show a systematic reduction in the vegetation amount within Kiev metropolitan area.
Keywords: multispectral satellite imagery, long-term time series analysis, vegetation state, urban areas, vegetation indices
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