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

Author

Gitelson, Anatoly ; Kogan, Felix ; Spivak, Lev ; Zakarin, Edige ; Lebed, Lubov

Author_Institution

J. Blaustein Inst. for Desert Res., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel

Volume

1

fYear

1996

fDate

27-31 May 1996

Firstpage

209

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

Keywords

agriculture; geophysical techniques; remote sensing; AVHRR; FSU; IR imaging; Kazakhstan; NOAA/; VCI; Vegetation Condition Index; agricultural crops; biomass; crop productivity; drought monitoring; geophysical measurement technique; optical imaging; pasture; satellite remote sensing; season; seasonal dynamics; vegetation density; vegetation mapping; visible imaging; Biomass; Condition monitoring; Crops; Density measurement; Extraterrestrial measurements; Productivity; Radiometry; Reflectivity; Satellite broadcasting; Vegetation;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International

Conference_Location

Lincoln, NE

Print_ISBN

0-7803-3068-4

Type

conf

DOI

10.1109/IGARSS.1996.516293

Filename

516293