Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 453-458, 2016
https://doi.org/10.5194/isprs-archives-XLI-B8-453-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
23 Jun 2016
COMPARISON OF DIGITAL SURFACE MODELS FOR SNOW DEPTH MAPPING WITH UAV AND AERIAL CAMERAS
R. Boesch1, Y. Bühler2, M. Marty1, and C. Ginzler1 1Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland
2WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
Keywords: snow height, dense point cloud, digital surface model, aerial camera Abstract. Photogrammetric workflows for aerial images have improved over the last years in a typically black-box fashion. Most parameters for building dense point cloud are either excessive or not explained and often the progress between software releases is poorly documented. On the other hand, development of better camera sensors and positional accuracy of image acquisition is significant by comparing product specifications. This study shows, that hardware evolutions over the last years have a much stronger impact on height measurements than photogrammetric software releases.

Snow height measurements with airborne sensors like the ADS100 and UAV-based DSLR cameras can achieve accuracies close to GSD * 2 in comparison with ground-based GNSS reference measurements. Using a custom notch filter on the UAV camera sensor during image acquisition does not yield better height accuracies. UAV based digital surface models are very robust. Different workflow parameter variations for ADS100 and UAV camera workflows seem to have only random effects.

Conference paper (PDF, 1893 KB)


Citation: Boesch, R., Bühler, Y., Marty, M., and Ginzler, C.: COMPARISON OF DIGITAL SURFACE MODELS FOR SNOW DEPTH MAPPING WITH UAV AND AERIAL CAMERAS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 453-458, https://doi.org/10.5194/isprs-archives-XLI-B8-453-2016, 2016.

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