Hyperspectral canopy reflectance as a potential tool to estimate and map pasture mass and quality

Abstract

Precision farming requires data on resource status at a very fine, within-paddock scale which is impractical to collect by traditional sampling methods. This paper demonstrates the potential of a modified field hyperspectral radiometer (spectro-CAPP) to predict and map spatial distribution patterns of herbage biomass and standing mass of nitrogen (N), phosphorous (P), potassium (K), and sulphur (S) in a 2.8 ha paddock Keywords: geostatistical analysis, pasture quality, semivariogram, spatial distribution