Analysis of imaging spectrometer data to evaluate the biochemical content of vegetation, based on the results of a laboratory experiment
A data set, associating high quality spectra with a number of physical and chemical measurements, has been used to investigate the link between the optical properties and the composition of green vegetation, focusing on the biochemical components. Two approaches have been followed: the classical regression analysis, and modelling based on the Kubelka-Munk formula. In the latter case, empirical specific absorption coefficients have been determined and then used to decompose the infrared spectra in water and other components contributions. This method is successful in retrieving the relative water content but does not yet allow an estimate of the biochemical content. It was applied both on laboratory and AVIRIS spectra.
Bibliographic Reference: Paper presented: The European Symposium on Satellite Remote Sensing, Roma (IT), September 26-30, 1994
Availability: Available from (1) as Paper EN 38589 ORA
Record Number: 199411297 / Last updated on: 1994-12-06
Original language: en
Available languages: en