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. 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.
Original language | English (US) |
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Pages | 209-211 |
Number of pages | 3 |
State | Published - 1996 |
Event | Proceedings of the 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96. Part 1 (of 4) - Lincoln, NE, USA Duration: May 28 1996 → May 31 1996 |
Other
Other | Proceedings of the 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96. Part 1 (of 4) |
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City | Lincoln, NE, USA |
Period | 5/28/96 → 5/31/96 |
ASJC Scopus subject areas
- Computer Science Applications
- General Earth and Planetary Sciences