23rd Cartographic School – Applications of UAVs in Geosciences, 8-10.6.2016, Świeradów –Zdrój, Poland
Datensatznummer
202707
Abstract
Spatially and temporally highly explicit data on snow depth (HS) distribution in alpine terrain plays an important role for many applications in snow science and practice. Recently, unmanned aerial systems (UAS) were applied to HS mapping, as they promise flexible, cost-efficient and accurate data collection. While results from first studies are encouraging, several state that illumination conditions potentially have a major influence on the fidelity of the HS maps. Here we present an attempt to quantify this impact by collecting UAS-data under different illumination conditions at different wavelengths (i.e. visible (VIS) and near-infrared (NIR)) on 13 February 2015 in a high-alpine valley floor (2000 m a.s.l.) in Western Austria. We employed a fixed-wing UAS (Multiplex Mentor, 1.6 m wing span; 2.5 kg weight), fitted with a customised Sony NEX5 camera (14 MP, APS-C sensor, 50 mm lens) to collect 7000 images on four flights.
