Analysis of Landsat NDVI time series for detecting degradation of vegetation

Polina Lemenkova ()

ULB Institutional Repository from ULB -- Universite Libre de Bruxelles

Abstract: Calculation of vegetation indices, especially Normalized Difference Vegetation Index (NDVI), has become one of the most successful, popular and traditional attempts in biogeographical research methods, because NDVI has certain advantages over other vegetation indices or band combinations. The results of calculations of vegetation indices for studies of land cover types are being repeatedly reported in various papers [1], [2], [3], [4]. Thus, NDVI is less depending on soil properties of the research area as well as to the daytime illumination comparing to simple red-infrared bands combination [5]. NDVI is well adjusted specially for the analysis of vegetation properties, which can be indirectly interpreted from the objects colors, as shown on the raster image. However, the correlation of the results received from the satellite spectral signals may not necessarily precisely correlate with real data on biomass and vegetation quality which is caused by the local climatic settings and biogeochemical background of the research area.

Keywords: remote sensing; GIS; NDVI; Landsat; Normalized Difference Vegetation Index; image processing; satellite image; mapping; cartography (search for similar items in EconPapers)
Date: 2015-04-06
Note: Conference paper presented at: Geoecology and Sustainable Use of Mineral Resources(3: 2015-04-06/2015-04-10: Belgorod, Russia)
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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