Articles | Volume 15, issue 1
Nat. Hazards Earth Syst. Sci., 15, 163–169, 2015
https://doi.org/10.5194/nhess-15-163-2015
Nat. Hazards Earth Syst. Sci., 15, 163–169, 2015
https://doi.org/10.5194/nhess-15-163-2015
Brief communication
28 Jan 2015
Brief communication | 28 Jan 2015

Brief Communication: The use of an unmanned aerial vehicle in a rockfall emergency scenario

D. Giordan et al.

Related authors

ESTIMATING CROP DENSITY FROM MULTI-SPECTRAL UAV IMAGERY IN MAIZE CROP
D. Stroppiana, M. Pepe, M. Boschetti, A. Crema, G. Candiani, D. Giordan, M. Baldo, P. Allasia, and L. Monopoli
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 619–624, https://doi.org/10.5194/isprs-archives-XLII-2-W13-619-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-619-2019, 2019
Brief communication: Remotely piloted aircraft systems for rapid emergency response: road exposure to rockfall in Villanova di Accumoli (central Italy)
Michele Santangelo, Massimiliano Alvioli, Marco Baldo, Mauro Cardinali, Daniele Giordan, Fausto Guzzetti, Ivan Marchesini, and Paola Reichenbach
Nat. Hazards Earth Syst. Sci., 19, 325–335, https://doi.org/10.5194/nhess-19-325-2019,https://doi.org/10.5194/nhess-19-325-2019, 2019
Short summary
Preface: The use of remotely piloted aircraft systems (RPAS) in monitoring applications and management of natural hazards
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
Low cost, multiscale and multi-sensor application for flooded area mapping
Daniele Giordan, Davide Notti, Alfredo Villa, Francesco Zucca, Fabiana Calò, Antonio Pepe, Furio Dutto, Paolo Pari, Marco Baldo, and Paolo Allasia
Nat. Hazards Earth Syst. Sci., 18, 1493–1516, https://doi.org/10.5194/nhess-18-1493-2018,https://doi.org/10.5194/nhess-18-1493-2018, 2018
Short summary
Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management
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

Related subject area

Landslides and Debris Flows Hazards
Landslides caught on seismic networks and satellite radars
Andrea Manconi, Alessandro C. Mondini, and the AlpArray working group
Nat. Hazards Earth Syst. Sci., 22, 1655–1664, https://doi.org/10.5194/nhess-22-1655-2022,https://doi.org/10.5194/nhess-22-1655-2022, 2022
Short summary
Variable hydrograph inputs for a numerical debris-flow runout model
Andrew Mitchell, Sophia Zubrycky, Scott McDougall, Jordan Aaron, Mylène Jacquemart, Johannes Hübl, Roland Kaitna, and Christoph Graf
Nat. Hazards Earth Syst. Sci., 22, 1627–1654, https://doi.org/10.5194/nhess-22-1627-2022,https://doi.org/10.5194/nhess-22-1627-2022, 2022
Short summary
Assessing the importance of conditioning factor selection in landslide susceptibility for the province of Belluno (region of Veneto, northeastern Italy)
Sansar Raj Meena, Silvia Puliero, Kushanav Bhuyan, Mario Floris, and Filippo Catani
Nat. Hazards Earth Syst. Sci., 22, 1395–1417, https://doi.org/10.5194/nhess-22-1395-2022,https://doi.org/10.5194/nhess-22-1395-2022, 2022
Short summary
Brief communication: Introducing rainfall thresholds for landslide triggering based on artificial neural networks
Pierpaolo Distefano, David J. Peres, Pietro Scandura, and Antonino Cancelliere
Nat. Hazards Earth Syst. Sci., 22, 1151–1157, https://doi.org/10.5194/nhess-22-1151-2022,https://doi.org/10.5194/nhess-22-1151-2022, 2022
Short summary
Insights from the topographic characteristics of a large global catalog of rainfall-induced landslide event inventories
Robert Emberson, Dalia B. Kirschbaum, Pukar Amatya, Hakan Tanyas, and Odin Marc
Nat. Hazards Earth Syst. Sci., 22, 1129–1149, https://doi.org/10.5194/nhess-22-1129-2022,https://doi.org/10.5194/nhess-22-1129-2022, 2022
Short summary

Cited articles

Borghi, A., Cadoppi, P., Porro, A., and Sacchi, R: Metamorphism in the northern part of the Dora Maira massif (Cottian Alps), Boll. Mus. Reg. Sci. Nat. Torino, 3, 369–380, 1985.
Bornaz, L., and Dequal, S.: The solid image: An easy and complete way to describe 3-D objects, Proceedings of the 20th ISPRS congress, Istanbul, Turkey, 12–23 July 2004, Volume XXXV Part B5, 183–188, 2004.
Chiabrando, F., Lingua, A., and Piras, M.: Direct Photogrammetry Using Uav: Tests And First Results, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W2, 81–86, https://doi.org/10.5194/isprsarchives-XL-1-W2-81-2013, 2013.
Colomina, I., Aigner, E., Agea, A., Pereira, M., Vitoria, T., Jarauta, R., Pascual, J., Ventura, J., Sastre, J., Brechbühler de Pinho, G., Derani, A., and Hasegawa, J.: The Uvision project for helicopter- UAV photogrammetry and remote-sensing, Proceedings of the 7th International Geomatic Week, Barcelona, Spain, 20–23 Febuary 2007, 7 pp. 2007.
Cruden, D. M. and Varnes, D. J.: Landslide types and processes, in: Landslides, Investigation and Mitigation, Special Report 247, Transportation Research Board, Washington, 36–75, 1996.
Download
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.
Altmetrics
Final-revised paper
Preprint