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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIII-B5-2021
https://doi.org/10.5194/isprs-archives-XLIII-B5-2021-65-2021
© Author(s) 2021. 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-B5-2021-65-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
30 Jun 2021
UP4DREAM CAPACITY BUILDING PROJECT: UAS BASED MAPPING IN DEVELOPING COUNTRIES
A. Calantropio
Laboratory of Geomatics for Cultural Heritage (LabG4CH), Department of Architecture and Design (DAD), Polytechnic, University of Turin, Viale Pier Andrea Mattioli, 39, 10125 Torino (TO), Italy
F. Chiabrando
Laboratory of Geomatics for Cultural Heritage (LabG4CH), Department of Architecture and Design (DAD), Polytechnic, University of Turin, Viale Pier Andrea Mattioli, 39, 10125 Torino (TO), Italy
J. Comino
Laboratory of Geomatics for Cultural Heritage (LabG4CH), Department of Architecture and Design (DAD), Polytechnic, University of Turin, Viale Pier Andrea Mattioli, 39, 10125 Torino (TO), Italy
A. M. Lingua
Laboratory of Photogrammetry, Geomatics, and GIS, Department of Environment, Land and Infrastructure Engineering, Polytechnic University of Turin, Corso Duca degli Abruzzi, 24, 10129 Torino (TO), Italy
P. F. Maschio
Laboratory of Photogrammetry, Geomatics, and GIS, Department of Environment, Land and Infrastructure Engineering, Polytechnic University of Turin, Corso Duca degli Abruzzi, 24, 10129 Torino (TO), Italy
T. Juskauskas
UNICEF Supply Division, Copenhagen
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F. Chiabrando, M. Lo Turco, and F. Rinaudo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W5, 605–612, https://doi.org/10.5194/isprs-archives-XLII-2-W5-605-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W5-605-2017, 2017
A. Lingua, F. Noardo, A. Spanò, S. Sanna, and F. Matrone
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W2, 107–115, https://doi.org/10.5194/isprs-archives-XLII-4-W2-107-2017, https://doi.org/10.5194/isprs-archives-XLII-4-W2-107-2017, 2017
F. Chiabrando, M. Naretto, G. Sammartano, L. Sambuelli, A. Spanò, and L. Teppati Losè
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W1, 227–234, https://doi.org/10.5194/isprs-archives-XLII-5-W1-227-2017, https://doi.org/10.5194/isprs-archives-XLII-5-W1-227-2017, 2017
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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