The purpose of this course is to provide background information on hyperspectral remote sensing with an integrated perspective going from measurement techniques to applications. The lectures are covering the physical principles of radiative transfer theory, current and novel imaging spectroscopy systems (e.g. spaceborne, UAV) and image processing methods (e.g. atmospheric correction, forward/inverse bio-optical modeling, hybrid approaches exploiting radiative transfer and machine learning techniques). A series of applications on assessing geo-biophysical parameters in terrestrial and aquatic ecosystems will be presented. A field campaign with an hand held spectroradiometer is planned along with hands-on computing exercises on the processing of ASI-PRISMA data.
- Docente: CLAUDIA GIARDINO