BBAuthors: Iersel, W.K. van; Advisor: -; Participants: - (2016)
To evaluate floodplain functioning, monitoring of its vegetation is essential. Although airborne imagery is widely applied for this purpose, classification accuracy (CA) remains low for grassland (< 88%) and herbaceous vegetation (<57%) due to the spectral and structural similarity of these vegetation types. Increased availability of Unmanned Aerial Vehicles (UAV) allows low-cost production of high-resolution orthophotos and digital surface models (DSMs). Multi-temporal DSMs and orthophotos may be used as input for an improved classification methodology, using differences in phenological changes between vegetation types. The aim of this study was (1) to evaluate the improvement of the... 
