Gábor BAKÓ, Györk FÜLÖP, Boglárka SZABÓ

Detekcia drevného prírastku pomocou analýzy snímok družice Landsat za účelom identifikácie invazívnych stromových druhov

Bakó, G., Fülöp, G., Szabó, B.: Detection of woody increment with analysis of landsat images in order to detect the inva-sive tree species. Kartografické listy, 2014, 22 (2).

Abstract: In continental climate regions of the EU, one of the largest environmental and conversational problems is caused by the spread of invasive plant species, especially in agriculturally abandoned regions. Several invasive species spread rapidly, and push the native vegetation out of its ecological niche. Moreover, some of these adventive species cause risk also for human health - e.g. resulting allergic reactions, they change the physical structure and chemical composition of the soils, affect the microclimate, thereby contributing to climate change processes. The common feature of the belonging species is that they spread rapidly and develop a significant amount of biomass in a short time. In the course of our research we worked out a remote sensing and GIS method, which localize efficiently the infected areas, exploiting the high biomass intensity change attributes of the targeted sites.

Keywords: remote sensing, biomass monitoring, Earth Observation, T-BEA