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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
| 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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Revised manuscript under review for ESSD
Short summary
Short summary
The study presents a set of multitemporal geospatial surveys and the continuous monitoring of water flows in a large proglacial area (4 km2) of the North-Western Alps. Activities are developed with a multidisciplinary approach and merge geomatics, hydraulic and geophysical methods. The goal is to allow researchers to characterize, monitor and model a number of physical processes and interconnected phenomena, with a broader perspective and deeper understanding than a single-discipline approach.
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 1009–1016, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1009-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1009-2020, 2020
F. Giulio Tonolo, A. Cina, A. Manzino, and M. Fronteddu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 1073–1079, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1073-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1073-2020, 2020
L. Teppati Losè, F. Chiabrando, and F. Giulio Tonolo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 507–514, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-507-2020, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-507-2020, 2020
C. Wang, Y. Dai, N. Elsheimy, C. Wen, G. Retscher, Z. Kang, and A. Lingua
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-5-2020, 117–123, https://doi.org/10.5194/isprs-annals-V-5-2020-117-2020, https://doi.org/10.5194/isprs-annals-V-5-2020-117-2020, 2020
G. Sammartano, A. Spanò, and L. Teppati Losè
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W17, 295–302, https://doi.org/10.5194/isprs-archives-XLII-2-W17-295-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W17-295-2019, 2019
E. S. Malinverni, R. Pierdicca, M. Paolanti, M. Martini, C. Morbidoni, F. Matrone, and A. Lingua
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W15, 735–742, https://doi.org/10.5194/isprs-archives-XLII-2-W15-735-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W15-735-2019, 2019
D. De Luca, M. Del Giudice, N. Grasso, F. Matrone, A. Osello, and M. Piras
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W15, 381–388, https://doi.org/10.5194/isprs-archives-XLII-2-W15-381-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W15-381-2019, 2019
G. P. C. Bronzino, N. Grasso, F. Matrone, A. Osello, and M. Piras
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W15, 215–222, https://doi.org/10.5194/isprs-archives-XLII-2-W15-215-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W15-215-2019, 2019
A. Ajmar, E. Arco, P. Boccardo, F. Giulio Tonolo, and J. Yoong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1511–1516, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1511-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1511-2019, 2019
M. A. Musci, I. Aicardi, P. Dabove, and A. M. Lingua
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1701–1707, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1701-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1701-2019, 2019
C. Wang, Y. Dai, N. El-Sheimy, C. Wen, G. Retscher, Z. Kang, and A. Lingua
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1709–1713, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1709-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1709-2019, 2019
A. Calantropio, F. Chiabrando, D. Einaudi, and L. Teppati Losè
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 227–234, https://doi.org/10.5194/isprs-archives-XLII-2-W13-227-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-227-2019, 2019
F. Chiabrando, F. Giulio Tonolo, and A. Lingua
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 247–253, https://doi.org/10.5194/isprs-archives-XLII-2-W13-247-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-247-2019, 2019
F. Matrone, E. Colucci, V. De Ruvo, A. Lingua, and A. Spanò
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 857–865, https://doi.org/10.5194/isprs-archives-XLII-2-W11-857-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-857-2019, 2019
C. Beltrami, D. Cavezzali, F. Chiabrando, A. Iaccarino Idelson, G. Patrucco, and F. Rinaudo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 217–224, https://doi.org/10.5194/isprs-archives-XLII-2-W11-217-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-217-2019, 2019
B. G. Marino, A. Masiero, F. Chiabrando, A. M. Lingua, F. Fissore, W. Błaszczak-Bak, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 809–813, https://doi.org/10.5194/isprs-archives-XLII-2-W11-809-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-809-2019, 2019
A. Masiero, F. Chiabrando, A. M. Lingua, B. G. Marino, F. Fissore, A. Guarnieri, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 473–478, https://doi.org/10.5194/isprs-archives-XLII-2-W9-473-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W9-473-2019, 2019
A. Calantropio, F. Chiabrando, F. Rinaudo, and L. Teppati Losè
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 71–78, https://doi.org/10.5194/isprs-archives-XLII-1-71-2018, https://doi.org/10.5194/isprs-archives-XLII-1-71-2018, 2018
E. Colucci, F. Noardo, F. Matrone, A. Spanò, and A. Lingua
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 107–114, https://doi.org/10.5194/isprs-archives-XLII-4-107-2018, https://doi.org/10.5194/isprs-archives-XLII-4-107-2018, 2018
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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