Using AVHRR data for quantitive estimation of vegetation conditions: Calibration and validation

A. A. Gitelson, F. Kogan, E. Zakarin, L. Spivak, L. Lebed

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

Abstract

NDVI-derived Vegetation Condition Index (VCI) was compared with vegetation density, biomass and reflectance measured in the fields. The VCI numerically estimates fluctuation of NDVI related to intra-annual weather change only and is a measure of weather impact on vegetation. Test fields were located in different climatic (annual precipitation 150-700 mm) and ecological zones (semi-desert to steppe-forest) with elevation from 200 to 700 m in Kazakhstan. A range of NDVI variation was from 0.05 to 0.47. The determination coefficient between AVHRR-derived vegetation state and actually measured vegetation density of more than 0.76 was achieved. 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.

Original languageEnglish (US)
Pages (from-to)673-676
Number of pages4
JournalAdvances in Space Research
Volume22
Issue number5
DOIs
StatePublished - 1998

ASJC Scopus subject areas

  • Aerospace Engineering
  • Astronomy and Astrophysics
  • Geophysics
  • Atmospheric Science
  • Space and Planetary Science
  • Earth and Planetary Sciences(all)

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