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Photogrammetric workflows for aerial images have improved over the last years in a typically black-box fashion. Most parameters\udfor building dense point cloud are either excessive or not explained and often the progress between software releases is poorly\uddocumented. On the other hand, development of better camera sensors and positional accuracy of image acquisition is significant by\udcomparing product specifications. This study shows, that hardware evolutions over the last years have a much stronger impact on\udheight measurements than photogrammetric software releases.\ud  \udSnow height measurements with airborne sensors like the ADS100 and UAV-based DSLR cameras can achieve accuracies close to\udGSD * 2 in comparison with ground-based GNSS reference measurements. Using a custom notch filter on the UAV camera sensor\udduring image acquisition does not yield better height accuracies. UAV based digital surface models are very robust. Different\udworkflow parameter variations for ADS100 and UAV camera workflows seem to have only random effects

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

COMPARISON OF DIGITAL SURFACE MODELS FOR SNOW DEPTH MAPPING WITH UAV AND AERIAL CAMERAS