Publication at Faculty of Science |
2017
Abstract
Laboratory and image spectroscopy are important methods of remote sensing for the evaluation of vegetation parameters. The spectral reflectance curve obtained by laboratory spectroscopy allows a detailed evaluation of various parameters.
Image hyperspectral data then allows vegetation analyzes in extensive areas. To differentiate vegetation from other types of land coverage and then evaluate its physiological state, it is possible to use image classification in combination with empirical models or radiative transfer models (RTM).