Klasifikace lesních porostů na základě kombinace dat z dálkového průzkumu Země

Abstract

This thesis deals with multispectral data and data from aerial laser scanning, which represent the raster data model mapping the territory, spectral classification and the design procedure for the classification of forest based on height or age of the stand. Processing of data from remote sensing was carried out in the programming environment Erdas Imagine 2010 and the ArcGis10. The result of the subsequent verification of the proposed method with the result of spectral classification results of image interpretation. Everything is documented in thematic maps.