DETECTION OF SMALL-SCALED FEATURES USING LANDSAT AND SENTINEL-2 DATA SETS

摘要

In advanced times of renewable energies, our attention has to be on secondary features that can be utilised to enhance our independence from fossil fuels. In terms of biomass, this focus lies on small-scaled features like vegetation units alongside roads or hedges between agricultural fields. Currently, there is no easily-accessible inventory, if at all, outlining the growth and re-growth patterns of such vegetation. Since they are trimmed at least annually to allow the passing of traffic, we can, theoretically, harvest the cut and convert it into energy. This, however, requires a map outlining the vegetation growth and the potential energy amount at different locations as well as adequate transport routes and potential processing plant locations. With the help of Landsat and Sentinel-2 data sets, we explore the possibilities to create such a map. Additional data is provided in the form of regularly acquired, airborne orthophotos and GIS-based infrastructure data.