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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIII-B1-2022
https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-415-2022
© Author(s) 2022. 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-B1-2022-415-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
30 May 2022
NEW DEVELOPMENTS IN LIDAR UAS SURVEYS. PERFORMANCE ANALYSES AND VALIDATION OF THE DJI ZENMUSE L1
L. Teppati Losè
LabG4CH, Department of Architecture and Design (DAD) - Politecnico di Torino, Viale Mattioli 39, 10125 Torino, Italy
F. Matrone
Laboratory of Photogrammetry, Geomatics & GIS, Department of Environment, Land and Infrastructures Engineering (DIATI) - Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
Department of Structural, Geotechnical and Building Engineering (DISEG) - Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
F. Chiabrando
LabG4CH, Department of Architecture and Design (DAD) - Politecnico di Torino, Viale Mattioli 39, 10125 Torino, Italy
F. Giulio Tonolo
LabG4CH, Department of Architecture and Design (DAD) - Politecnico di Torino, Viale Mattioli 39, 10125 Torino, Italy
A. Lingua
Laboratory of Photogrammetry, Geomatics & GIS, Department of Environment, Land and Infrastructures Engineering (DIATI) - Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
P. Maschio
Laboratory of Photogrammetry, Geomatics & GIS, Department of Environment, Land and Infrastructures Engineering (DIATI) - Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
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F. Chiabrando, C. Della Coletta, G. Sammartano, A. Spanò, and A. Spreafico
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 225–234, https://doi.org/10.5194/isprs-archives-XLII-2-225-2018, https://doi.org/10.5194/isprs-archives-XLII-2-225-2018, 2018
A. Spanò, F. Chiabrando, G. Sammartano, and L. Teppati Losè
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1075–1082, https://doi.org/10.5194/isprs-archives-XLII-2-1075-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1075-2018, 2018
L. Teppati Losè, F. Chiabrando, and A. Spanò
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1113–1120, https://doi.org/10.5194/isprs-archives-XLII-2-1113-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1113-2018, 2018
A. Calantropio, F. Chiabrando, G. Sammartano, A. Spanò, and L. Teppati Losè
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W4, 121–128, https://doi.org/10.5194/isprs-archives-XLII-3-W4-121-2018, https://doi.org/10.5194/isprs-archives-XLII-3-W4-121-2018, 2018
F. Chiabrando, E. Colucci, A. Lingua, F. Matrone, F. Noardo, and A. Spanò
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W4, 151–158, https://doi.org/10.5194/isprs-archives-XLII-3-W4-151-2018, https://doi.org/10.5194/isprs-archives-XLII-3-W4-151-2018, 2018
A. Calantropio, E. Colucci, and L. Teppati Losè
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 59–66, https://doi.org/10.5194/isprs-archives-XLII-2-W8-59-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W8-59-2017, 2017
F. Chiabrando and L. Teppati Losè
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W6, 77–84, https://doi.org/10.5194/isprs-archives-XLII-2-W6-77-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W6-77-2017, 2017
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.
F. Chiabrando, A. Lingua, P. Maschio, and L. Teppati Losè
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W3, 163–170, https://doi.org/10.5194/isprs-archives-XLII-2-W3-163-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W3-163-2017, 2017
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