Traditionally, time-consuming point methods have been used to determine the snow depth. Recently,
more advanced methods using newer mass capture methods such as terrestrial laser scanner and
unmanned aerial vehicle have been used increasingly. When using the latter, a big problem is the
homogeneity of the snow cover which makes it very difficult for algorithm to find matching points
which are the basis for making a quality 3D model. In this master's thesis, we describe the procedure for
determining the snow depth at ski jump in Planica. We went to the site four times and together we made
nine UAV flights over the ski jump. The determination process is based on a comparison of
georeferenced 3D models made without snow and with snow. This requires well-made 3D models. We
tried to reduce the homogeneity of the snow cover by drawing coloured lines on the top layer of the
base. To determine the thickness of the snow cover, we used the "Cloud-mesh distance" function, which
is included in the CloudCompare program.
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