Estimation of seasonal dynamics of pasture and crop productivity in Kazakhstan using NOAA/AVHRR data

Anatoly A. Gitelson, Felix N Kogan, L. Spivak, Edige Zakarin, Lubov Lebed

2002

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DOI 10.1109/igarss.1996.516293
Data confidence 70 medium
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Abstract

Recently, NOAA developed the AVHRR-based Vegetation Condition Index (VCI) for drought monitoring. This index was used for estimating pasture and crop productivity in Kazakhstan. The results of VCI-derived vegetation conditions were compared with vegetation density, biomass and reflectance measured in different climatic and ecological zones with elevation from 200 to 700 m and a large range of the NDVI variation (over space and season) from 0.05 to 0.47. An estimation error of AVHRR-derived vegetation density was less than 16 per cent. For the first time it was shown that the VCI-derived vegetation condition data can be effectively used for quantitative assessments of both vegetation state and productivity (density and biomass) over large areas.