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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIII-B1-2021
https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-111-2021
© 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-B1-2021-111-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
28 Jun 2021
| 28 Jun 2021
A CASE STUDY OF PEDESTRIAN POSITIONING WITH UWB AND UAV CAMERAS
A. Masiero
University of Florence, Italy
P. Dabove
Politecnico di Torino, Italy
V. Di Pietra
Politecnico di Torino, Italy
M. Piragnolo
University of Padova, Italy
A. Vettore
University of Padova, Italy
S. Cucchiaro
University of Padova, Italy
A. Guarnieri
University of Padova, Italy
P. Tarolli
University of Padova, Italy
Ohio State University, USA
V. Gikas
National Technical University of Athens (NTUA), Greece
H. Perakis
National Technical University of Athens (NTUA), Greece
K.-W. Chiang
National Cheng Kung University, Tainan, Taiwan
L. M. Ruotsalainen
University of Helsinki, Finland
S. Goel
Indian Institute of Technology Kanpur, India
J. Gabela
RMIT University, Australia
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-3-2023, 127–133, https://doi.org/10.5194/isprs-archives-XLVIII-M-3-2023-127-2023, https://doi.org/10.5194/isprs-archives-XLVIII-M-3-2023-127-2023, 2023
E. Pellis, A. Masiero, P. Grussenmeyer, M. Betti, and G. Tucci
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-2-2023, 1189–1196, https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-1189-2023, https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-1189-2023, 2023
F. Alberti, A. Alessandrini, D. Bubboloni, C. Catalano, M. Fanfani, M. Loda, A. Marino, A. Masiero, M. Meocci, P. Nesi, and A. Paliotto
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 1–7, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-1-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-1-2023, 2023
R. Angelini, E. Angelats, G. Luzi, F. Ribas, A. Masiero, and F. Mugnai
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 17–24, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-17-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-17-2023, 2023
W. Błaszczak-Bąk, J. Janicka, A. Dumalski, and A. Masiero
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 51–56, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-51-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-51-2023, 2023
I. Cortesi, A. Masiero, N. Pfeifer, and G. Tucci
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 101–106, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-101-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-101-2023, 2023
V. Di Pietra, M. Piras, P. Grasso, F. Fasano, D. Sera, and G. Ciaramella
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 121–129, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-121-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-121-2023, 2023
M. Gurturk, A. Masiero, C. Toth, P. Dabove, V. Di Pietra, A. Vettore, A. Guarnieri, F. Mugnai, and M. Soycan
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 161–165, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-161-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-161-2023, 2023
K. Y. Lin, Y. H. Tseng, and K. W. Chiang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 243–248, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-243-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-243-2023, 2023
M. Orfanos, H. Perakis, and V. Gikas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 353–361, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-353-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-353-2023, 2023
E. Pellis, A. Masiero, I. Cortesi, G. Tucci, M. Betti, and P. Grussenmeyer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 379–386, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-379-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-379-2023, 2023
I. Sivarasa, J. Rajavarathan, G. Retscher, V. Abeyratne, T. L. Dammalage, J. Gabela, and V. Gikas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 451–456, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-451-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-451-2023, 2023
R. Tamimi and C. Toth
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 479–488, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-479-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-479-2023, 2023
N. Grasso, P. Dabove, and M. Piras
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W3-2023, 73–79, https://doi.org/10.5194/isprs-archives-XLVIII-2-W3-2023-73-2023, https://doi.org/10.5194/isprs-archives-XLVIII-2-W3-2023-73-2023, 2023
C. Spadavecchia, E. Belcore, and V. Di Pietra
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W3-2023, 247–253, https://doi.org/10.5194/isprs-archives-XLVIII-2-W3-2023-247-2023, https://doi.org/10.5194/isprs-archives-XLVIII-2-W3-2023-247-2023, 2023
B. Suleymanoglu, R. Tamimi, Y. Yilmaz, M. Soycan, and C. Toth
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-1-2023, 347–353, https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-347-2023, https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-347-2023, 2023
B. Suleymanoglu, C. Toth, A. Masiero, and A. Ladai
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-1-2023, 355–360, https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-355-2023, https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-355-2023, 2023
I. Cortesi, F. Mugnai, R. Angelini, and A. Masiero
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 117–122, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-117-2023, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-117-2023, 2023
F. Mugnai, A. Masiero, and B. Ciuffo
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-W2-2022, 23–28, https://doi.org/10.5194/isprs-annals-X-3-W2-2022-23-2022, https://doi.org/10.5194/isprs-annals-X-3-W2-2022-23-2022, 2022
A. Masiero, I. Cortesi, and G. Tucci
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W1-2022, 295–300, https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-295-2022, https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-295-2022, 2022
F. Pirotti, E. Kutchartt, and M. Piragnolo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W1-2022, 365–370, https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-365-2022, https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-365-2022, 2022
E. Belcore and V. Di Pietra
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W1-2022, 51–58, https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-51-2022, https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-51-2022, 2022
P. Dabove and V. Di Pietra
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W1-2022, 111–118, https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-111-2022, https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-111-2022, 2022
A. Elashry and C. Toth
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-M-2-2022, 83–89, https://doi.org/10.5194/isprs-archives-XLVI-M-2-2022-83-2022, https://doi.org/10.5194/isprs-archives-XLVI-M-2-2022-83-2022, 2022
A. Ladai and C. Toth
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-M-2-2022, 147–152, https://doi.org/10.5194/isprs-archives-XLVI-M-2-2022-147-2022, https://doi.org/10.5194/isprs-archives-XLVI-M-2-2022-147-2022, 2022
Masoume Mahboubi, Astrid Grønbæk, Ana Fernandes, Casper Fibæk, and Paolo Dabove
AGILE GIScience Ser., 3, 47, https://doi.org/10.5194/agile-giss-3-47-2022, https://doi.org/10.5194/agile-giss-3-47-2022, 2022
F. Pirotti, M. Piragnolo, M. Yoshimura, J. P. Hernandez, M. A. Brovelli, B. Leblon, and M. Yamashita
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B5-2022, 45–50, https://doi.org/10.5194/isprs-archives-XLIII-B5-2022-45-2022, https://doi.org/10.5194/isprs-archives-XLIII-B5-2022-45-2022, 2022
B. Suleymanoglu, M. Soycan, and C. Toth
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 279–285, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-279-2022, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-279-2022, 2022
A. Ladai, C. Toth, and Z. Toth
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 347–352, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-347-2022, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-347-2022, 2022
F. Pirotti, M. Piragnolo, A. Vettore, and A. Guarnieri
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 353–359, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-353-2022, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-353-2022, 2022
A. Masiero, C. Toth, J. Gabela, and G. Retscher
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 467–472, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-467-2022, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-467-2022, 2022
A. Masiero, P. Dabove, V. Di Pietra, M. Piragnolo, A. Vettore, A. Guarnieri, C. Toth, V. Gikas, H. Perakis, K.-W. Chiang, L. M. Ruotsalainen, S. Goel, and J. Gabela
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 839–844, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-839-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-839-2022, 2022
E. Pellis, A. Murtiyoso, A. Masiero, G. Tucci, M. Betti, and P. Grussenmeyer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 861–867, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-861-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-861-2022, 2022
I. Cortesi, A. Masiero, G. Tucci, and K. Topouzelis
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 855–861, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-855-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-855-2022, 2022
A. Masiero, A. Guarnieri, U. Coppa, and G. Tucci
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-2-W1-2022, 359–364, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-359-2022, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-359-2022, 2022
E. Pellis, A. Murtiyoso, A. Masiero, G. Tucci, M. Betti, and P. Grussenmeyer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-2-W1-2022, 429–434, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-429-2022, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-429-2022, 2022
Jonathan Rizzi, Ana M. Tarquis, Anne Gobin, Mikhail Semenov, Wenwu Zhao, and Paolo Tarolli
Nat. Hazards Earth Syst. Sci., 21, 3873–3877, https://doi.org/10.5194/nhess-21-3873-2021, https://doi.org/10.5194/nhess-21-3873-2021, 2021
Pengzhi Zhao, Daniel Joseph Fallu, Sara Cucchiaro, Paolo Tarolli, Clive Waddington, David Cockcroft, Lisa Snape, Andreas Lang, Sebastian Doetterl, Antony G. Brown, and Kristof Van Oost
Biogeosciences, 18, 6301–6312, https://doi.org/10.5194/bg-18-6301-2021, https://doi.org/10.5194/bg-18-6301-2021, 2021
Short summary
Short summary
We investigate the factors controlling the soil organic carbon (SOC) stability and temperature sensitivity of abandoned prehistoric agricultural terrace soils. Results suggest that the burial of former topsoil due to terracing provided an SOC stabilization mechanism. Both the soil C : N ratio and SOC mineral protection regulate soil SOC temperature sensitivity. However, which mechanism predominantly controls SOC temperature sensitivity depends on the age of the buried terrace soils.
Mihai Ciprian Mărgărint, Mihai Niculiță, Giulia Roder, and Paolo Tarolli
Nat. Hazards Earth Syst. Sci., 21, 3251–3283, https://doi.org/10.5194/nhess-21-3251-2021, https://doi.org/10.5194/nhess-21-3251-2021, 2021
Short summary
Short summary
Local stakeholders' knowledge plays a deciding role in emergencies, supporting rescue officers in natural hazard events; coordinating; and assisting, both physically and psychologically, the affected populations. Their risk perception was assessed using a questionnaire for an area in north-eastern Romania. The results show low preparedness and reveal substantial distinctions among stakeholders and different risks based on their cognitive and behavioral roles in their communities.
A. Masiero, A. Guarnieri, G. Tucci, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-M-1-2021, 435–440, https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-435-2021, https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-435-2021, 2021
E. Pellis, A. Masiero, G. Tucci, M. Betti, and P. Grussenmeyer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-M-1-2021, 539–546, https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-539-2021, https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-539-2021, 2021
Y. Yang and C. Toth
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2021, 259–266, https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-259-2021, https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-259-2021, 2021
I. Cortesi, A. Masiero, M. De Giglio, G. Tucci, and M. Dubbini
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2021, 9–14, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-9-2021, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-9-2021, 2021
M. P. Bouloukou, A. Masiero, A. Vettore, and V. Gikas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2021, 97–102, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-97-2021, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-97-2021, 2021
E. Maset, S. Cucchiaro, F. Cazorzi, F. Crosilla, A. Fusiello, and A. Beinat
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2021, 103–109, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-103-2021, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-103-2021, 2021
A. Masiero, C. Toth, J. Gabela, and G. Retscher
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2021, 221–227, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-221-2021, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-221-2021, 2021
A. Elashry, B. Sluis, and C. Toth
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 321–327, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-321-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-321-2021, 2021
B. Sluis and C. Toth
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2021, 147–152, https://doi.org/10.5194/isprs-annals-V-4-2021-147-2021, https://doi.org/10.5194/isprs-annals-V-4-2021-147-2021, 2021
Lorenzo Marchi, Federico Cazorzi, Massimo Arattano, Sara Cucchiaro, Marco Cavalli, and Stefano Crema
Nat. Hazards Earth Syst. Sci., 21, 87–97, https://doi.org/10.5194/nhess-21-87-2021, https://doi.org/10.5194/nhess-21-87-2021, 2021
Short summary
Short summary
Debris-flow research requires experimental data that are difficult to collect because of the intrinsic characteristics of these hazardous processes. This paper presents debris-flow data recorded in the Moscardo Torrent (Italian Alps) between 1990 and 2019. In this time interval, 30 debris flows were observed. The paper presents data on triggering rainfall, flow velocity, peak discharge, and volume for the monitored hydrographs.
Y. Yang, S. Song, and C. Toth
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-M-2-2020, 117–122, https://doi.org/10.5194/isprs-archives-XLIV-M-2-2020-117-2020, https://doi.org/10.5194/isprs-archives-XLIV-M-2-2020-117-2020, 2020
Faith E. Taylor, Paolo Tarolli, and Bruce D. Malamud
Nat. Hazards Earth Syst. Sci., 20, 2585–2590, https://doi.org/10.5194/nhess-20-2585-2020, https://doi.org/10.5194/nhess-20-2585-2020, 2020
Y. Yang, C. Toth, and D. Brzezinska
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 391–397, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-391-2020, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-391-2020, 2020
K. Y. Lin, Y. H. Tseng, and K. W. Chiang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 49–54, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-49-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-49-2020, 2020
M. C. Hung and K. W. Chiang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 181–185, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-181-2020, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-181-2020, 2020
M. Corongiu, A. Masiero, and G. Tucci
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 219–225, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-219-2020, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-219-2020, 2020
V. Di Pietra, N. Grasso, M. Piras, and P. Dabove
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 227–234, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-227-2020, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-227-2020, 2020
A. Masiero, G. Sofia, and P. Tarolli
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 259–264, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-259-2020, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-259-2020, 2020
A. Masiero, H. Perakis, J. Gabela, C. Toth, V. Gikas, G. Retscher, S. Goel, A. Kealy, Z. Koppányi, W. Błaszczak-Bak, Y. Li, and D. Grejner-Brzezinska
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 549–555, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-549-2020, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-549-2020, 2020
A. Masiero, A. Guarnieri, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W17, 187–193, https://doi.org/10.5194/isprs-archives-XLII-2-W17-187-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W17-187-2019, 2019
G. J. Tsai, K. W. Chiang, and N. El-Sheimy
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W16, 251–257, https://doi.org/10.5194/isprs-archives-XLII-2-W16-251-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W16-251-2019, 2019
D. Iwaszczuk, Z. Koppanyi, J. Pfrang, and C. Toth
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W2, 31–35, https://doi.org/10.5194/isprs-archives-XLII-1-W2-31-2019, https://doi.org/10.5194/isprs-archives-XLII-1-W2-31-2019, 2019
M. C. Hung, J. K. Liao, and K. W. Chiang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 799–803, https://doi.org/10.5194/isprs-archives-XLII-2-W13-799-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-799-2019, 2019
Y. C. Tien, Y. L. Chen, and K. W. Chiang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 881–888, https://doi.org/10.5194/isprs-archives-XLII-2-W13-881-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-881-2019, 2019
A. Masiero, F. Fissore, R. Antonello, A. Cenedese, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1695–1699, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1695-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1695-2019, 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
S. Zahran, A. Masiero, M. M. Mostafa, A. M. Moussa, A. Vettore, and N. El-Sheimy
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 665–672, https://doi.org/10.5194/isprs-archives-XLII-2-W13-665-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-665-2019, 2019
A. Masiero and D. Costantino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 831–836, https://doi.org/10.5194/isprs-archives-XLII-2-W11-831-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-831-2019, 2019
A. Masiero, G. Tucci, A. Conti, L. Fiorini, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 837–842, https://doi.org/10.5194/isprs-archives-XLII-2-W11-837-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-837-2019, 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
M. Piragnolo, S. Grigolato, and F. Pirotti
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3-W1, 33–40, https://doi.org/10.5194/isprs-annals-IV-3-W1-33-2019, https://doi.org/10.5194/isprs-annals-IV-3-W1-33-2019, 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
Daniele Giordan, Yuichi S. Hayakawa, Francesco Nex, and Paolo Tarolli
Nat. Hazards Earth Syst. Sci., 18, 3085–3087, https://doi.org/10.5194/nhess-18-3085-2018, https://doi.org/10.5194/nhess-18-3085-2018, 2018
Short summary
Short summary
In the special issue
The use of remotely piloted aircraft systems (RPAS) in monitoring applications and management of natural hazardswe propose a collection of papers that provide a critical description of the state of the art in the use of RPAS for different scenarios. In particular, the sequence of papers can be considered an exhaustive representation of the state of the art of the methodologies and approaches applied to the study and management of natural hazards.
D. Iwaszczuk, Z. Koppanyi, N. A. Gard, B. Zha, C. Toth, and A. Yilmaz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 225–232, https://doi.org/10.5194/isprs-archives-XLII-1-225-2018, https://doi.org/10.5194/isprs-archives-XLII-1-225-2018, 2018
C. A. Lin, K. W. Chiang, and C. Y. Kuo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 263–268, https://doi.org/10.5194/isprs-archives-XLII-1-263-2018, https://doi.org/10.5194/isprs-archives-XLII-1-263-2018, 2018
C. C. Lin, Y. H. Tseng, K. Y. Lin, and K. W. Chiang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 269–273, https://doi.org/10.5194/isprs-archives-XLII-1-269-2018, https://doi.org/10.5194/isprs-archives-XLII-1-269-2018, 2018
A. Masiero, F. Fissore, M. Piragnolo, A. Guarnieri, F. Pirotti, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 289–293, https://doi.org/10.5194/isprs-archives-XLII-1-289-2018, https://doi.org/10.5194/isprs-archives-XLII-1-289-2018, 2018
M. Sakr, A. Masiero, and N. El-Sheimy
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 379–385, https://doi.org/10.5194/isprs-archives-XLII-1-379-2018, https://doi.org/10.5194/isprs-archives-XLII-1-379-2018, 2018
G. J. Tsai, K. W. Chiang, and N. El-Sheimy
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 445–450, https://doi.org/10.5194/isprs-archives-XLII-1-445-2018, https://doi.org/10.5194/isprs-archives-XLII-1-445-2018, 2018
S. Zahran, M. M. Mostafa, A. Masiero, A. M. Moussa, A. Vettore, and N. El-Sheimy
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 469–476, https://doi.org/10.5194/isprs-archives-XLII-1-469-2018, https://doi.org/10.5194/isprs-archives-XLII-1-469-2018, 2018
C. K. Toth, Z. Koppanyi, and M. G. Lenzano
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W8, 211–216, https://doi.org/10.5194/isprs-archives-XLII-4-W8-211-2018, https://doi.org/10.5194/isprs-archives-XLII-4-W8-211-2018, 2018
S. Cucchiaro, E. Maset, A. Fusiello, and F. Cazorzi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 281–288, https://doi.org/10.5194/isprs-archives-XLII-2-281-2018, https://doi.org/10.5194/isprs-archives-XLII-2-281-2018, 2018
A. Masiero, F. Fissore, A. Guarnieri, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 683–690, https://doi.org/10.5194/isprs-archives-XLII-2-683-2018, https://doi.org/10.5194/isprs-archives-XLII-2-683-2018, 2018
Z. Koppanyi and C. K. Toth
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 161–168, https://doi.org/10.5194/isprs-annals-IV-2-161-2018, https://doi.org/10.5194/isprs-annals-IV-2-161-2018, 2018
M. Piragnolo, G. Lusiani, and F. Pirotti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1381–1387, https://doi.org/10.5194/isprs-archives-XLII-3-1381-2018, https://doi.org/10.5194/isprs-archives-XLII-3-1381-2018, 2018
Daniele Giordan, Yuichi Hayakawa, Francesco Nex, Fabio Remondino, and Paolo Tarolli
Nat. Hazards Earth Syst. Sci., 18, 1079–1096, https://doi.org/10.5194/nhess-18-1079-2018, https://doi.org/10.5194/nhess-18-1079-2018, 2018
Short summary
Short summary
Remotely piloted aerial systems can acquire on-demand ultra-high-resolution images that can be used for the identification of active processes like landslides or volcanic activities but also for the definition of effects of earthquakes, wildfires and floods. In this paper, we present a review of published literature that describes experimental methodologies developed for the study and monitoring of natural hazards.
F. Fissore, A. Guarnieri, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 95–98, https://doi.org/10.5194/isprs-archives-XLII-2-W8-95-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W8-95-2017, 2017
F. Fissore, F. Pirotti, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 99–104, https://doi.org/10.5194/isprs-archives-XLII-2-W8-99-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W8-99-2017, 2017
A. Masiero
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 141–145, https://doi.org/10.5194/isprs-archives-XLII-2-W8-141-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W8-141-2017, 2017
A. Masiero, F. Fissore, A. Guarnieri, M. Piragnolo, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 147–153, https://doi.org/10.5194/isprs-archives-XLII-2-W8-147-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W8-147-2017, 2017
M. Piras, V. Di Pietra, and D. Visintini
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W6, 281–288, https://doi.org/10.5194/isprs-archives-XLII-2-W6-281-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W6-281-2017, 2017
K. Pawłuszek, A. Borkowski, and P. Tarolli
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 83–90, https://doi.org/10.5194/isprs-archives-XLII-1-W1-83-2017, https://doi.org/10.5194/isprs-archives-XLII-1-W1-83-2017, 2017
C. K. Toth, Z. Koppanyi, V. Navratil, and D. Grejner-Brzezinska
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 175–180, https://doi.org/10.5194/isprs-archives-XLII-1-W1-175-2017, https://doi.org/10.5194/isprs-archives-XLII-1-W1-175-2017, 2017
A. Guarnieri, F. Fissore, A. Masiero, A. Di Donna, U. Coppa, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W1, 527–533, https://doi.org/10.5194/isprs-archives-XLII-5-W1-527-2017, https://doi.org/10.5194/isprs-archives-XLII-5-W1-527-2017, 2017
F. Pirotti, F. Sunar, and M. Piragnolo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 335–340, https://doi.org/10.5194/isprs-archives-XLI-B7-335-2016, https://doi.org/10.5194/isprs-archives-XLI-B7-335-2016, 2016
C. Toth, G. Jozkow, Z. Koppanyi, S. Young, and D. Grejner-Brzezinska
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-1, 159–165, https://doi.org/10.5194/isprs-annals-III-1-159-2016, https://doi.org/10.5194/isprs-annals-III-1-159-2016, 2016
Livia Piermattei, Luca Carturan, Fabrizio de Blasi, Paolo Tarolli, Giancarlo Dalla Fontana, Antonio Vettore, and Norbert Pfeifer
Earth Surf. Dynam., 4, 425–443, https://doi.org/10.5194/esurf-4-425-2016, https://doi.org/10.5194/esurf-4-425-2016, 2016
Short summary
Short summary
We investigated the applicability of the SfM–MVS approach for calculating the geodetic mass balance of a glacier and for the detection of the surface displacement rate of an active rock glacier located in the eastern Italian Alps. The results demonstrate that it is possible to reliably quantify the investigated glacial and periglacial processes by means of a quick ground-based photogrammetric survey that was conducted using a consumer grade SRL camera and natural targets as ground control points.
D. Penna, M. Borga, G. T. Aronica, G. Brigandì, and P. Tarolli
Hydrol. Earth Syst. Sci., 18, 2127–2139, https://doi.org/10.5194/hess-18-2127-2014, https://doi.org/10.5194/hess-18-2127-2014, 2014
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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