Using AVHRR data for quantitive estimation of vegetation conditions

Calibration and validation

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

Research output: Contribution to journalArticle

29 Citations (Scopus)

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 - Jan 1 1998

Fingerprint

Advanced Very High Resolution Radiometer
Advanced very high resolution radiometers (AVHRR)
vegetation
AVHRR
Calibration
calibration
normalized difference vegetation index
NDVI
biomass
weather
Biomass
steppes
Kazakhstan
forest-steppe
deserts
field tests
productivity
reflectance
desert
Productivity

ASJC Scopus subject areas

  • Aerospace Engineering
  • Space and Planetary Science

Cite this

Using AVHRR data for quantitive estimation of vegetation conditions : Calibration and validation. / Gitelson, Anatoly A; Kogan, F.; Zakarin, E.; Spivak, L.; Lebed, L.

In: Advances in Space Research, Vol. 22, No. 5, 01.01.1998, p. 673-676.

Research output: Contribution to journalArticle

Gitelson, Anatoly A ; Kogan, F. ; Zakarin, E. ; Spivak, L. ; Lebed, L. / Using AVHRR data for quantitive estimation of vegetation conditions : Calibration and validation. In: Advances in Space Research. 1998 ; Vol. 22, No. 5. pp. 673-676.
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