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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIII-B2-2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1159-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1159-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
14 Aug 2020
| 14 Aug 2020
UAV AND CLOSE-RANGE PHOTOGRAMMETRY TO SUPPORT GEO-MECHANICAL ANALYSIS IN SAFETY ROAD MANAGEMENT: THE “VALLONE D’ELVA” ROAD
E. Pontoglio
Department of Environmental, Land and Infrastructure Engineering (DIATI) - Politecnico di Torino C.so Duca degli Abruzzi 24, 10129, Torino, Italy
E. Colucci
Department of Environmental, Land and Infrastructure Engineering (DIATI) - Politecnico di Torino C.so Duca degli Abruzzi 24, 10129, Torino, Italy
A. Lingua
Department of Environmental, Land and Infrastructure Engineering (DIATI) - Politecnico di Torino C.so Duca degli Abruzzi 24, 10129, Torino, Italy
P. Maschio
Department of Environmental, Land and Infrastructure Engineering (DIATI) - Politecnico di Torino C.so Duca degli Abruzzi 24, 10129, Torino, Italy
M. R. Migliazza
Department of Structural, Geotechnical and Building Engineering (DISEG), Politecnico di Torino C.so Duca degli Abruzzi 24, 10129, Torino, Italy
C. Scavia
Department of Structural, Geotechnical and Building Engineering (DISEG), Politecnico di Torino C.so Duca degli Abruzzi 24, 10129, Torino, Italy
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A. Calantropio, E. Colucci, and L. Teppati Losè
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A. Lingua, F. Noardo, A. Spanò, S. Sanna, and F. Matrone
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Francesco Avanzi, Alberto Bianchi, Alberto Cina, Carlo De Michele, Paolo Maschio, Diana Pagliari, Daniele Passoni, Livio Pinto, Marco Piras, and Lorenzo Rossi
The Cryosphere Discuss., https://doi.org/10.5194/tc-2017-57, https://doi.org/10.5194/tc-2017-57, 2017
Revised manuscript not accepted
Short summary
Short summary
We compare three different instruments used to collect snow depth, i.e., photogrammetric surveys using Unmanned Aerial Systems (UAS), a 3D laser scanning, and manual probing. The relatively high density of manual data (135 pt over 6700 m2, i.e., 2 pt/100 m2) enables to assess the performance of UAS in capturing the marked spatial variability of snow. Results suggest that UAS represent a competitive choice among existing techniques for high-precision, high-resolution remote sensing of snow.
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
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