Articles | Volume 380
https://doi.org/10.5194/piahs-380-81-2018
https://doi.org/10.5194/piahs-380-81-2018
Post-conference publication
 | 
18 Dec 2018
Post-conference publication |  | 18 Dec 2018

Image acquisition effects on Unmanned Air Vehicle snow depth retrievals

Ahmet Emre Tekeli and Senayi Dönmez

Cited articles

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Barnett, T. P., Adam, J. C., and Lettenmaier, D. P.: Potential impacts of a warming climate on water availability in snow-dominated regions, Nature, 438, 303–309, 2005 
Bühler, Y., Adams, M. S., Bösch, R., and Stoffel, A.: Mapping snow depth in alpine terrain with unmanned aerial systems (UASs): potential and limitations, The Cryosphere, 10, 1075–1088, https://doi.org/10.5194/tc-10-1075-2016, 2016. 
Colomina, I. and Molina, P.: Unmanned aerial systems for photogrammetry and remote sensing: A review, ISPRS J. Photogramm., 92, 79–97, 2014 
De Michele, C., Avanzi, F., Passoni, D., Barzaghi, R., Pinto, L., Dosso, P., Ghezzi, A., Gianatti, R., and Della Vedova, G.: Using a fixed-wing UAS to map snow depth distribution: an evaluation at peak accumulation, The Cryosphere, 10, 511–522, https://doi.org/10.5194/tc-10-511-2016, 2016. 
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Short summary
Current study is unique in that the SD retrievals were derived using two different image acquisition modes. In the first, images were taken as UAV was continuously flying and in the second UAV kept its position in air fixed as the photos were taken. Root mean square error of derived SDs is found as 2.43 and 1.79 cm in continuous and fixed acquisitions. The results support the hypothesis, that fixed-position image acquisitions using multi-rotor platforms should enable more accurate SD estimates.