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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVIII-M-2-2023
https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-357-2023
© Author(s) 2023. 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-XLVIII-M-2-2023-357-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
24 Jun 2023
| 24 Jun 2023
INTEGRATED AIRBORNE LIDAR-UAV METHODS FOR ARCHAEOLOGICAL MAPPING IN VEGETATION-COVERED AREAS
M. Cappellazzo
LabG4CH - Laboratory of Geomatics for Cultural Heritage. Department of Architecture and Design (DAD) - Politecnico di Torino Viale Mattioli 39, 10125 Torino, Italy
M. Baldo
CNR IRPI - Research Institute for Geo-Hydrological Protection. Italian National Research Council - Torino support unit - Strada delle Cacce 73, 10135 Torino, Italy
G. Sammartano
LabG4CH - Laboratory of Geomatics for Cultural Heritage. Department of Architecture and Design (DAD) - Politecnico di Torino Viale Mattioli 39, 10125 Torino, Italy
Polito FULL | The Future Urban Legacy Lab - OGR Tech. - Corso Castelfidardo, 22 10128 Torino, Italy
LabG4CH - Laboratory of Geomatics for Cultural Heritage. Department of Architecture and Design (DAD) - Politecnico di Torino Viale Mattioli 39, 10125 Torino, Italy
Polito FULL | The Future Urban Legacy Lab - OGR Tech. - Corso Castelfidardo, 22 10128 Torino, Italy
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Short summary
Short summary
The paper discusses the use of rockfall modelling software and photogrammetry applied to images acquired by RPAS to provide support to civil protection agencies during emergency response. The paper focuses on a procedure that was applied to define the residual rockfall risk for a road that was hit by an earthquake-triggered rockfall that occurred during the seismic sequence that hit central Italy on 24 August 2016. Road reopening conditions were decided based on the results of this study.
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Daniele Giordan, Davide Notti, Alfredo Villa, Francesco Zucca, Fabiana Calò, Antonio Pepe, Furio Dutto, Paolo Pari, Marco Baldo, and Paolo Allasia
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Short summary
Short summary
We present a multiscale and multi-sensor methodology for flood mapping using free or low-cost data. We first mapped flooded areas at basin scale using free satellite data using both SAR and multispectral sensors. At local scale we refine mapping using very high-resolution images from Remotely Piloted Aerial System and terrestrial car camera, then we used these data to create 3-D model with structure from motion (SfM). All these data allowed creating accurate flooded area and water depth maps.
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. 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
G. Sammartano and A. Spanò
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W1, 245–252, https://doi.org/10.5194/isprs-archives-XLII-5-W1-245-2017, https://doi.org/10.5194/isprs-archives-XLII-5-W1-245-2017, 2017
F. Chiabrando, G. Sammartano, and A. Spanò
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W3, 155–162, https://doi.org/10.5194/isprs-archives-XLII-2-W3-155-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W3-155-2017, 2017
V. Di Pietra, E. Donadio, D. Picchi, L. Sambuelli, and A. Spanò
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W3, 259–266, https://doi.org/10.5194/isprs-archives-XLII-2-W3-259-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W3-259-2017, 2017
F. Chiabrando, G. Sammartano, and A. Spanò
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 633–640, https://doi.org/10.5194/isprs-archives-XLI-B5-633-2016, https://doi.org/10.5194/isprs-archives-XLI-B5-633-2016, 2016
D. Giordan, A. Manconi, A. Facello, M. Baldo, F. dell'Anese, P. Allasia, and F. Dutto
Nat. Hazards Earth Syst. Sci., 15, 163–169, https://doi.org/10.5194/nhess-15-163-2015, https://doi.org/10.5194/nhess-15-163-2015, 2015
Short summary
Short summary
In recent years, the use of unmanned aerial vehicles (UAVs) in civilian/commercial contexts is becoming increasingly common, also for the applications concerning the anthropic and natural disasters. In this paper, we present the first results of a research project aimed at defining a possible methodology for the use of micro-UAVs in emergency scenarios relevant to rockfall phenomena.
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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