Natural Resources, School of


Date of this Version



Published in the Proceedings of the Geoscience and Remote Sensing Symposium, 1996. IGARSS '96: Remote Sensing for a Sustainable Future. DOI: 10.1109/IGARSS.1996.516293. Copyright 1996, IEEE. Used by permission. Pages 209-211, volume 1.


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. 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.