TL;DR: PLS regression based on airborne hyperspectral imagery provides a better alternative to univariate regression involving hyperspectRAL indices for grass/herb biomass estimation in the Majella National Park.
TL;DR: In this paper, the authors used the neural network method to estimate foliar biochemical concentrations from remote sensing data of eucalypt tree canopies, which are more complex than are spectra from many coniferous canyons and much more complex from dried ground leaves.
TL;DR: In this paper, the authors evaluated linear predictive models between vegetation indices (VI) derived from radiometrically corrected airborne imaging spectrometer (HyMap) data and field measurements of biophysical forest stand variables (n=40).
TL;DR: In this paper, the potential of canopy reflectance modelling to retrieve simultaneously several structural variables in managed Norway spruce stands was investigated using the "Invertible Forest Reflectance Model" (INFORM), which was inverted with hyperspectral airborne HyMap data using a neural network approach.
TL;DR: In this paper, the authors evaluated the utility of field-derived spectra of saline soils and related vegetation for characterizing and mapping the spatial distribution of irrigation-induced soil salinization.