SPECTRAL DATA BASED VEGETATION INDICES TO CHARACTERISE CROP GROWTH PARAMETERS AND RADIATION INTERCEPTION IN BRASSICA

Abstract

Four spectral data based vegetation indices viz., infra-red/red (IR/R) ratio, normalized difference (N.D.), greenness index (GNI) and brightness index (BNI) were derived to characterise leaf area index, above ground biomass production and intercepted photosynthetically active radiation in Brassica oilseed crop. It was found from correlation study among different spectral indices, plant growth parameters and radiation interception that there was strong relationship between infrared/red and normalized difference with green area index for all the three Brassica cultivars whereas these spectral were not significantly correlated with above ground biomass. On the other hand, the brightness and greenness indices were closely correlated with above ground dry biomass as compared to infrared/red ratio and normalized difference. All the four spectral indices were correlated with interecepted photosyntheticaly active radiation (IPAR). The best fit equations relating them were derived, which can be incorporated in the algorithms of crop growth simulation model to estimate plant growth parameters and radiation interception using spectral indices.