Retrieval of Hyperspectral Information from Multispectral Data for Perennial Ryegrass Biomass Estimation.

ABSTRACT: The use of spectral data is seen as a fast and non-destructive method capable of monitoring pasture biomass. Although there is great potential in this technique, both end users and sensor manufacturers are uncertain about the necessary sensor specifications and achievable accuracies in an operational scenario. This study presents a straightforward parametric method able to accurately retrieve the hyperspectral signature of perennial ryegrass (Lolium perenne) canopies from multispectral data collected within a two-year period in Australia and the Netherlands. The retrieved hyperspectral data were employed to generate optimal indices and continuum-removed spectral features available in the scientific literature. For performance comparison, both these simulated features and a set of cu

SUBMITTER: Togeiro de Alckmin G 

PROVIDER: S-EPMC7765461 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature