Articles | Volume 18, issue 4
https://doi.org/10.5194/nhess-18-1079-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-18-1079-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
06 Apr 2018
Review article |
| 06 Apr 2018
| 06 Apr 2018
Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management
Daniele Giordan
CORRESPONDING AUTHOR
Istituto di Ricerca per la Protezione Idrogeologica, Consiglio Nazionale delle
Ricerche,
Torino, Italy
Yuichi Hayakawa
Center for Spatial Information Science, The University of Tokyo, Tokyo, Japan
Francesco Nex
University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), Enschede, the Netherlands
Fabio Remondino
3D Optical Metrology (3DOM) Unit, Bruno Kessler Foundation (FBK), Trento, Italy
Paolo Tarolli
Department of Land, Environment, Agriculture and Forestry, University of Padova, Legnaro, Italy
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Fabrizio Troilo, Niccolò Dematteis, Francesco Zucca, Martin Funk, and Daniele Giordan
The Cryosphere, 18, 3891–3909, https://doi.org/10.5194/tc-18-3891-2024, https://doi.org/10.5194/tc-18-3891-2024, 2024
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The study of glacier sliding along slopes is relevant in many aspects of glaciology. We processed Sentinel-2 satellite optical images of Mont Blanc, obtaining surface velocities of 30 glaciers between 2016 and 2024. The study revealed different behaviours and velocity variations that have relationships with glacier morphology. A velocity anomaly was observed in some glaciers of the southern side in 2020–2022, but its origin needs to be investigated further.
This article is included in the Encyclopedia of Geosciences
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Nat. Hazards Earth Syst. Sci., 23, 2625–2648, https://doi.org/10.5194/nhess-23-2625-2023, https://doi.org/10.5194/nhess-23-2625-2023, 2023
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We developed a cost-effective and user-friendly approach to map shallow landslides using free satellite data. Our methodology involves analysing the pre- and post-event NDVI variation to semi-automatically detect areas potentially affected by shallow landslides (PLs). Additionally, we have created Google Earth Engine scripts to rapidly compute NDVI differences and time series of affected areas. Datasets and codes are stored in an open data repository for improvement by the scientific community.
This article is included in the Encyclopedia of Geosciences
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
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
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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.
This article is included in the Encyclopedia of Geosciences
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
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In the special issue
This article is included in the Encyclopedia of Geosciences
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.
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
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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.
This article is included in the Encyclopedia of Geosciences
Federica Fiorucci, Daniele Giordan, Michele Santangelo, Furio Dutto, Mauro Rossi, and Fausto Guzzetti
Nat. Hazards Earth Syst. Sci., 18, 405–417, https://doi.org/10.5194/nhess-18-405-2018, https://doi.org/10.5194/nhess-18-405-2018, 2018
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This paper describes the criteria for the optimal selection of remote sensing images to map event landslides, discussing the ability of monoscopic and stereoscopic VHR satellite images and ultra-high-resolution UAV images to resolve the landslide photographical and morphological signatures. The findings can be useful to decide on the optimal imagery and technique to be used when planning the production of a landslide inventory map.
This article is included in the Encyclopedia of Geosciences
D. Giordan, A. Manconi, P. Allasia, and D. Bertolo
Nat. Hazards Earth Syst. Sci., 15, 2009–2017, https://doi.org/10.5194/nhess-15-2009-2015, https://doi.org/10.5194/nhess-15-2009-2015, 2015
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Straightforward communication of monitoring results is of major importance in emergency scenarios relevant to large slope instabilities. Here we describe the communication strategy developed for the Mont de La Saxe case study, a large rockslide threatening La Palud and Entrèves hamlets in the Courmayeur municipality (Aosta Valley, Italy).
This article is included in the Encyclopedia of Geosciences
A. Manconi and D. Giordan
Nat. Hazards Earth Syst. Sci., 15, 1639–1644, https://doi.org/10.5194/nhess-15-1639-2015, https://doi.org/10.5194/nhess-15-1639-2015, 2015
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
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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.
This article is included in the Encyclopedia of Geosciences
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W4-2025, 81–88, https://doi.org/10.5194/isprs-archives-XLVIII-1-W4-2025-81-2025, https://doi.org/10.5194/isprs-archives-XLVIII-1-W4-2025-81-2025, 2025
Giulio Perda, Luca Morelli, and Fabio Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W4-2025, 95–102, https://doi.org/10.5194/isprs-archives-XLVIII-1-W4-2025-95-2025, https://doi.org/10.5194/isprs-archives-XLVIII-1-W4-2025-95-2025, 2025
Fabio Remondino, Marc Muick, Michael Cramer, Konrad Wenzel, and Klaus Legat
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-6-2025, 117–125, https://doi.org/10.5194/isprs-archives-XLVIII-M-6-2025-117-2025, https://doi.org/10.5194/isprs-archives-XLVIII-M-6-2025-117-2025, 2025
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EGUsphere, https://doi.org/10.5194/egusphere-2025-129, https://doi.org/10.5194/egusphere-2025-129, 2025
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We conducted an immersive virtual reality (VR) lecture to teach geoscience topics to middle school students at an international school in Japan. The lecture proved both engaging and motivational for the students, with its primary strength lying in its ability to captivate their attention and foster a sense of freedom. While the results suggest that VR has the potential to be integrated into the broader geoscience curricula, further refinement is necessary to maximize its effectiveness.
This article is included in the Encyclopedia of Geosciences
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W8-2024, 1–7, https://doi.org/10.5194/isprs-archives-XLVIII-2-W8-2024-1-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-W8-2024-1-2024, 2024
Raniero Beber, Luca Morelli, Fabio Remondino, and Francisco Hernandez
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Matteo Codiglione, Raniero Beber, and Fabio Remondino
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ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-2024, 287–294, https://doi.org/10.5194/isprs-annals-X-4-2024-287-2024, https://doi.org/10.5194/isprs-annals-X-4-2024-287-2024, 2024
Fabrizio Troilo, Niccolò Dematteis, Francesco Zucca, Martin Funk, and Daniele Giordan
The Cryosphere, 18, 3891–3909, https://doi.org/10.5194/tc-18-3891-2024, https://doi.org/10.5194/tc-18-3891-2024, 2024
Short summary
Short summary
The study of glacier sliding along slopes is relevant in many aspects of glaciology. We processed Sentinel-2 satellite optical images of Mont Blanc, obtaining surface velocities of 30 glaciers between 2016 and 2024. The study revealed different behaviours and velocity variations that have relationships with glacier morphology. A velocity anomaly was observed in some glaciers of the southern side in 2020–2022, but its origin needs to be investigated further.
This article is included in the Encyclopedia of Geosciences
Onur Can Bayrak, Zhenyu Ma, Elisa Mariarosaria Farella, Fabio Remondino, and Melis Uzar
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 25–32, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-25-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-25-2024, 2024
Marco Medici, Giulio Perda, Andrea Sterpin, Elisa Mariarosaria Farella, Stefano Settimo, and Fabio Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 249–256, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-249-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-249-2024, 2024
Luca Morelli, Gabriele Mazzacca, Pawel Trybała, Federica Gaspari, Francesco Ioli, Zhenyu Ma, Fabio Remondino, Keith Challis, Andrew Poad, Alex Turner, and Jon P. Mills
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 281–288, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-281-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-281-2024, 2024
Vandita Shukla, Luca Morelli, Fabio Remondino, Andrea Micheli, Devis Tuia, and Benjamin Risse
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 379–386, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-379-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-379-2024, 2024
Shuang Song, Luca Morelli, Xinyi Wu, Rongjun Qin, Hessah Albanwan, and Fabio Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 393–400, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-393-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-393-2024, 2024
Paweł Trybała, Simone Rigon, Fabio Remondino, Aleksandra Banasiewicz, Adam Wróblewski, Arkadiusz Macek, Paulina Kujawa, Kinga Romańczukiewicz, Carlos Redondo, and Fran Espada
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 427–434, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-427-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-427-2024, 2024
M. Avena, G. Patrucco, F. Remondino, and A. Spanò
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W4-2024, 25–31, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-25-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-25-2024, 2024
M. Bassier, G. Mazzacca, R. Battisti, S. Malek, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W4-2024, 49–56, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-49-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-49-2024, 2024
M. Chizhova, J. Pan, T. Luhmann, A. Karami, F. Menna, F. Remondino, M. Hess, and T. Eißing
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W4-2024, 103–110, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-103-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-103-2024, 2024
M. Codiglione, G. Mazzacca, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W4-2024, 119–125, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-119-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-119-2024, 2024
A. Elalailyi, L. Perfetti, F. Fassi, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W4-2024, 189–195, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-189-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-189-2024, 2024
E. M. Farella, S. Rigon, F. Remondino, A. Stan, G. Ioannidis, S. Münster, M. Medici, F. Maietti, and A. Sánchez
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W4-2024, 197–204, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-197-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-197-2024, 2024
L. Morelli, F. Ioli, F. Maiwald, G. Mazzacca, F. Menna, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W4-2024, 309–316, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-309-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-309-2024, 2024
E. Oniga, B. Boroianu, L. Morelli, F. Remondino, and M. Macovei
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W4-2024, 333–339, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-333-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-333-2024, 2024
M. B. Trivi, G. Mazzacca, M. Griffo, S. Malek, R. Battisti, F. Remondino, C. Bianchini, and E. Chiavoni
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W4-2024, 445–451, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-445-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-445-2024, 2024
Y. Yadav, B. Alsadik, F. Nex, F. Remondino, and P. Glira
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 633–640, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-633-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-633-2023, 2023
F. Ioli, F. Barbieri, F. Gaspari, F. Nex, and L. Pinto
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1037–1044, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1037-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1037-2023, 2023
A. Masiero, L. Morelli, C. Toth, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1127–1133, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1127-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1127-2023, 2023
S. M. Tilon and F. Nex
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 431–437, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-431-2023, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-431-2023, 2023
U. V. B. L. Udugama, G. Vosselman, and F. Nex
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 439–445, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-439-2023, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-439-2023, 2023
J. R. Bergado and F. Nex
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 1027–1032, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-1027-2023, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-1027-2023, 2023
O. C. Bayrak, F. Remondino, and M. Uzar
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 1–8, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-1-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-1-2023, 2023
R. Beber, G. Perda, N. Takhtkeshha, F. Remondino, T. Maffei, D. Poli, K. Moe, P. Cipriano, and M. Ciliberti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 9–16, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-9-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-9-2023, 2023
E. M. Farella, F. Remondino, C. Cahalane, R. Qin, A. M. Loghin, M. Di Tullio, N. Haala, and J. Mills
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 47–54, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-47-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-47-2023, 2023
C. R. Fol, A. Murtiyoso, D. Kükenbrink, F. Remondino, and V. C. Griess
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 55–61, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-55-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-55-2023, 2023
F. Nex, N. Zhang, F. Remondino, E. M. Farella, R. Qin, and C. Zhang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 123–130, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-123-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-123-2023, 2023
N. Padkan, P. Trybala, R. Battisti, F. Remondino, and C. Bergeret
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 137–144, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-137-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-137-2023, 2023
O. Roman, E. M. Farella, S. Rigon, F. Remondino, S. Ricciuti, and D. Viesi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 175–182, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-175-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-175-2023, 2023
P. Trybała, P. Kujawa, K. Romańczukiewicz, A. Szrek, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 191–198, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-191-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-191-2023, 2023
Z. Yan, G. Mazzacca, S. Rigon, E. M. Farella, P. Trybala, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 219–226, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-219-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-219-2023, 2023
Davide Notti, Martina Cignetti, Danilo Godone, and Daniele Giordan
Nat. Hazards Earth Syst. Sci., 23, 2625–2648, https://doi.org/10.5194/nhess-23-2625-2023, https://doi.org/10.5194/nhess-23-2625-2023, 2023
Short summary
Short summary
We developed a cost-effective and user-friendly approach to map shallow landslides using free satellite data. Our methodology involves analysing the pre- and post-event NDVI variation to semi-automatically detect areas potentially affected by shallow landslides (PLs). Additionally, we have created Google Earth Engine scripts to rapidly compute NDVI differences and time series of affected areas. Datasets and codes are stored in an open data repository for improvement by the scientific community.
This article is included in the Encyclopedia of Geosciences
G. Mazzacca, A. Karami, S. Rigon, E. M. Farella, P. Trybala, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-2-2023, 1051–1058, https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-1051-2023, https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-1051-2023, 2023
O. Roman, M. Avena, E. M. Farella, F. Remondino, and A. Spanò
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-2-2023, 1345–1352, https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-1345-2023, https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-1345-2023, 2023
F. M. La Russa, E. Grilli, F. Remondino, C. Santagati, and M. Intelisano
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-2-2023, 903–910, https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-903-2023, https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-903-2023, 2023
F. Menna, R. Battisti, E. Nocerino, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 295–302, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-295-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-295-2023, 2023
L. Morelli, F. Ioli, R. Beber, F. Menna, F. Remondino, and A. Vitti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 317–324, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-317-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-317-2023, 2023
V. E. Oniga, L. Morelli, M. Macovei, C. Chirila, A. I. Breaban, F. Remondino, and P. Sestraș
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 345–352, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-345-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-345-2023, 2023
N. Padkan, R. Battisti, F. Menna, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 363–370, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-363-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-363-2023, 2023
P. Trybała, D. Kasza, J. Wajs, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 517–524, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-517-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-517-2023, 2023
A. Karami, M. Varshosaz, F. Menna, F. Remondino, and T. Luhmann
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 363–370, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-363-2023, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-363-2023, 2023
F. Menna, A. Torresani, R. Battisti, E. Nocerino, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W1-2022, 153–162, https://doi.org/10.5194/isprs-archives-XLVIII-2-W1-2022-153-2022, https://doi.org/10.5194/isprs-archives-XLVIII-2-W1-2022-153-2022, 2022
L. Morelli, F. Bellavia, F. Menna, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W1-2022, 163–170, https://doi.org/10.5194/isprs-archives-XLVIII-2-W1-2022-163-2022, https://doi.org/10.5194/isprs-archives-XLVIII-2-W1-2022-163-2022, 2022
L. Morelli, F. Menna, A. Vitti, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W1-2022, 171–176, https://doi.org/10.5194/isprs-archives-XLVIII-2-W1-2022-171-2022, https://doi.org/10.5194/isprs-archives-XLVIII-2-W1-2022-171-2022, 2022
L. Morelli, A. Karami, F. Menna, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W2-2022, 77–84, https://doi.org/10.5194/isprs-archives-XLVIII-2-W2-2022-77-2022, https://doi.org/10.5194/isprs-archives-XLVIII-2-W2-2022-77-2022, 2022
P. Trybała, J. Szrek, F. Remondino, J. Wodecki, and R. Zimroz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W2-2022, 135–142, https://doi.org/10.5194/isprs-archives-XLVIII-2-W2-2022-135-2022, https://doi.org/10.5194/isprs-archives-XLVIII-2-W2-2022-135-2022, 2022
A. Nurunnabi, F. N. Teferle, D. F. Laefer, F. Remondino, I. R. Karas, and J. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W3-2022, 111–118, https://doi.org/10.5194/isprs-archives-XLVIII-4-W3-2022-111-2022, https://doi.org/10.5194/isprs-archives-XLVIII-4-W3-2022-111-2022, 2022
N. Zhang, F. Nex, G. Vosselman, and N. Kerle
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 1189–1196, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1189-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1189-2022, 2022
A. Yilmaz, J. D. Wegner, R. Qin, F. Remondino, T. Fuse, and I. Toschi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 7–7, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-7-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-7-2022, 2022
A. Azimi, A. Hosseininaveh, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 9–14, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-9-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-9-2022, 2022
F. Remondino, L. Morelli, E. Stathopoulou, M. Elhashash, and R. Qin
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 77–84, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-77-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-77-2022, 2022
K. K. Mwangangi, P. O. Mc’Okeyo, S. J. Oude Elberink, and F. Nex
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 433–440, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-433-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-433-2022, 2022
M. Welponer, E. K. Stathopoulou, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 469–476, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-469-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-469-2022, 2022
A. Karami, R. Battisti, F. Menna, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 695–702, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-695-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-695-2022, 2022
F. Menna, E. Nocerino, S. Malek, F. Remondino, and S. Schiaparelli
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 935–943, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-935-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-935-2022, 2022
E. M. Farella, L. Morelli, F. Remondino, J. P. Mills, N. Haala, and J. Crompvoets
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 1175–1182, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1175-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1175-2022, 2022
M. V. Peppa, L. Morelli, J. P. Mills, N. T. Penna, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 1183–1190, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1183-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1183-2022, 2022
S. Karam, F. Nex, O. Karlsson, J. Rydell, E. Bilock, M. Tulldahl, M. Holmberg, and N. Kerle
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2022, 203–210, https://doi.org/10.5194/isprs-annals-V-1-2022-203-2022, https://doi.org/10.5194/isprs-annals-V-1-2022-203-2022, 2022
A. Yilmaz, J. D. Wegner, R. Qin, F. Remondino, T. Fuse, and I. Toschi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 7–7, https://doi.org/10.5194/isprs-annals-V-2-2022-7-2022, https://doi.org/10.5194/isprs-annals-V-2-2022-7-2022, 2022
F. Bellavia, L. Morelli, F. Menna, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-2-W1-2022, 73–80, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-73-2022, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-73-2022, 2022
E. M. Farella, L. Morelli, E. Grilli, S. Rigon, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-2-W1-2022, 215–222, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-215-2022, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-215-2022, 2022
S. Kyriakaki-Grammatikaki, E. K. Stathopoulou, E. Grilli, F. Remondino, and A. Georgopoulos
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-2-W1-2022, 291–298, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-291-2022, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-291-2022, 2022
G. Mazzacca, E. Grilli, G. P. Cirigliano, F. Remondino, and S. Campana
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-2-W1-2022, 365–372, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-365-2022, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-365-2022, 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.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
A. Torresani, S. Rigon, E. M. Farella, F. Menna, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-M-1-2021, 761–768, https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-761-2021, https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-761-2021, 2021
S. Teruggi, E. Grilli, F. Fassi, and F. Remondino
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VIII-M-1-2021, 155–162, https://doi.org/10.5194/isprs-annals-VIII-M-1-2021-155-2021, https://doi.org/10.5194/isprs-annals-VIII-M-1-2021-155-2021, 2021
A. Masiero, P. Dabove, V. Di Pietra, M. Piragnolo, A. Vettore, S. Cucchiaro, A. Guarnieri, P. Tarolli, 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-B1-2021, 111–116, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-111-2021, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-111-2021, 2021
A. Yilmaz, J. D. Wegner, F. Remondino, T. Fuse, and I. Toschi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 7–7, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-7-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-7-2021, 2021
E. Maset, E. Rupnik, M. Pierrot-Deseilligny, F. Remondino, and A. Fusiello
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 33–38, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-33-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-33-2021, 2021
V. Mousavi, M. Varshosaz, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 39–46, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-39-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-39-2021, 2021
E. K. Stathopoulou, S. Rigon, R. Battisti, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 391–398, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-391-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-391-2021, 2021
N. Zhang, F. Nex, N. Kerle, and G. Vosselman
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 427–432, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-427-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-427-2021, 2021
E. Grilli, F. Poux, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 471–478, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-471-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-471-2021, 2021
A. Karami, F. Menna, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 519–526, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-519-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-519-2021, 2021
F. Remondino, F. Menna, and L. Morelli
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 549–556, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-549-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-549-2021, 2021
F. Menna, E. Nocerino, B. Chemisky, F. Remondino, and P. Drap
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 667–672, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-667-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-667-2021, 2021
A. Yilmaz, J. D. Wegner, F. Remondino, T. Fuse, and I. Toschi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2021, 7–7, https://doi.org/10.5194/isprs-annals-V-2-2021-7-2021, https://doi.org/10.5194/isprs-annals-V-2-2021-7-2021, 2021
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
D. González-Aguilera, E. Ruiz de Oña, L. López-Fernandez, E. M. Farella, E. K. Stathopoulou, I. Toschi, F. Remondino, P. Rodríguez-Gonzálvez, D. Hernández-López, A. Fusiello, and F. Nex
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B5-2020, 213–219, https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-213-2020, https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-213-2020, 2020
F. Matrone, A. Lingua, R. Pierdicca, E. S. Malinverni, M. Paolanti, E. Grilli, F. Remondino, A. Murtiyoso, and T. Landes
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 1419–1426, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1419-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1419-2020, 2020
F. Remondino, T. Fuse, and I. Toschi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 7–7, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-7-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-7-2020, 2020
V. V. Kniaz, S. Y. Zheltov, F. Remondino, V. A. Knyaz, A. Bordodymov, and A. Gruen
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 435–441, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-435-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-435-2020, 2020
O. Lanz, F. Sottsas, M. Conni, M. Boschetti, E. Nocerino, F. Menna, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 785–790, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-785-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-785-2020, 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
P. O. Mc’Okeyo, F. Nex, C. Persello, and A. Vrieling
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 309–316, https://doi.org/10.5194/isprs-annals-V-1-2020-309-2020, https://doi.org/10.5194/isprs-annals-V-1-2020-309-2020, 2020
F. Remondino, T. Fuse, and I. Toschi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 7–7, https://doi.org/10.5194/isprs-annals-V-2-2020-7-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-7-2020, 2020
L. Madhuanand, F. Nex, and M. Y. Yang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 451–458, https://doi.org/10.5194/isprs-annals-V-2-2020-451-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-451-2020, 2020
S. M. Tilon, F. Nex, D. Duarte, N. Kerle, and G. Vosselman
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 573–582, https://doi.org/10.5194/isprs-annals-V-2-2020-573-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-573-2020, 2020
E.-K. Stathopoulou, M. Welponer, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W17, 331–338, https://doi.org/10.5194/isprs-archives-XLII-2-W17-331-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W17-331-2019, 2019
E. Grilli, E. Özdemir, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 447–454, https://doi.org/10.5194/isprs-archives-XLII-4-W18-447-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W18-447-2019, 2019
E. Özdemir, F. Remondino, and A. Golkar
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 843–849, https://doi.org/10.5194/isprs-archives-XLII-4-W18-843-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W18-843-2019, 2019
K. Bakuła, J. P. Mills, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W2, 1–8, https://doi.org/10.5194/isprs-archives-XLII-1-W2-1-2019, https://doi.org/10.5194/isprs-archives-XLII-1-W2-1-2019, 2019
E. Özdemir, I. Toschi, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W2, 53–60, https://doi.org/10.5194/isprs-archives-XLII-1-W2-53-2019, https://doi.org/10.5194/isprs-archives-XLII-1-W2-53-2019, 2019
E.-K. Stathopoulou and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W15, 1135–1140, https://doi.org/10.5194/isprs-archives-XLII-2-W15-1135-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W15-1135-2019, 2019
A. Torresani and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W15, 1157–1162, https://doi.org/10.5194/isprs-archives-XLII-2-W15-1157-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W15-1157-2019, 2019
E. Nocerino, F. Menna, E. Farella, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W15, 857–864, https://doi.org/10.5194/isprs-archives-XLII-2-W15-857-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W15-857-2019, 2019
E. M. Farella, A. Torresani, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W15, 465–472, https://doi.org/10.5194/isprs-archives-XLII-2-W15-465-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W15-465-2019, 2019
E. Grilli, E. M. Farella, A. Torresani, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W15, 541–548, https://doi.org/10.5194/isprs-archives-XLII-2-W15-541-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W15-541-2019, 2019
N. Kerle, F. Nex, D. Duarte, and A. Vetrivel
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W8, 187–194, https://doi.org/10.5194/isprs-archives-XLII-3-W8-187-2019, https://doi.org/10.5194/isprs-archives-XLII-3-W8-187-2019, 2019
C. Bernard, J. P. Mills, J. Talaya, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 927–934, https://doi.org/10.5194/isprs-archives-XLII-2-W13-927-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-927-2019, 2019
P. Fanta-Jende, F. Nex, M. Gerke, J. Lijnen, and G. Vosselman
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1649–1654, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1649-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1649-2019, 2019
S. Huang, F. Nex, Y. Lin, and M. Y. Yang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 35–42, https://doi.org/10.5194/isprs-archives-XLII-2-W13-35-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-35-2019, 2019
E. Özdemir and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 103–110, https://doi.org/10.5194/isprs-archives-XLII-2-W13-103-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-103-2019, 2019
I. Toschi, D. Morabito, E. Grilli, F. Remondino, C. Carlevaro, A. Cappellotto, G. Tamagni, and M. Maffeis
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 119–126, https://doi.org/10.5194/isprs-archives-XLII-2-W13-119-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-119-2019, 2019
F. Nex
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 163–164, https://doi.org/10.5194/isprs-archives-XLII-2-W13-163-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-163-2019, 2019
H. K. Palanirajan, B. Alsadik, F. Nex, and S. Oude Elberink
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 495–502, https://doi.org/10.5194/isprs-archives-XLII-2-W13-495-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-495-2019, 2019
C. Stöcker, F. Nex, M. Koeva, and M. Gerke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 613–617, https://doi.org/10.5194/isprs-archives-XLII-2-W13-613-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-613-2019, 2019
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
D. Duarte, F. Nex, N. Kerle, and G. Vosselman
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 29–36, https://doi.org/10.5194/isprs-annals-IV-2-W5-29-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-29-2019, 2019
F. Nex
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 85–86, https://doi.org/10.5194/isprs-annals-IV-2-W5-85-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-85-2019, 2019
F. Menna, A. Torresani, E. Nocerino, M. M. Nawaf, J. Seinturier, F. Remondino, P. Drap, and B. Chemisky
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W10, 127–134, https://doi.org/10.5194/isprs-archives-XLII-2-W10-127-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W10-127-2019, 2019
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
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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.
This article is included in the Encyclopedia of Geosciences
E. M. Farella, A. Torresani, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 339–346, https://doi.org/10.5194/isprs-archives-XLII-2-W9-339-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W9-339-2019, 2019
V. V. Kniaz, F. Remondino, and V. A. Knyaz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 403–408, https://doi.org/10.5194/isprs-archives-XLII-2-W9-403-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W9-403-2019, 2019
E.-K. Stathopoulou and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 685–690, https://doi.org/10.5194/isprs-archives-XLII-2-W9-685-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W9-685-2019, 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
This article is included in the Encyclopedia of Geosciences
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.
I. Toschi, F. Remondino, R. Rothe, and K. Klimek
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 437–444, https://doi.org/10.5194/isprs-archives-XLII-1-437-2018, https://doi.org/10.5194/isprs-archives-XLII-1-437-2018, 2018
A. Nowacka and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 467–474, https://doi.org/10.5194/isprs-archives-XLII-4-467-2018, https://doi.org/10.5194/isprs-archives-XLII-4-467-2018, 2018
E. Özdemir and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W10, 135–142, https://doi.org/10.5194/isprs-archives-XLII-4-W10-135-2018, https://doi.org/10.5194/isprs-archives-XLII-4-W10-135-2018, 2018
Johnny Cusicanqui, Norman Kerle, and Francesco Nex
Nat. Hazards Earth Syst. Sci., 18, 1583–1598, https://doi.org/10.5194/nhess-18-1583-2018, https://doi.org/10.5194/nhess-18-1583-2018, 2018
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Short summary
Aerial multi-perspective images can be used for the effective assessment of post-disaster structural damage. Alternatively, rapidly available video data can be processed for the same purpose. However, video quality characteristics are different than those of images taken with still cameras. The use of video data in post-disaster damage assessment has not been demonstrated. Based on a comparative assessment, our findings support the application of video data in post-disaster damage assessment.
This article is included in the Encyclopedia of Geosciences
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
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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.
This article is included in the Encyclopedia of Geosciences
D. Abate, I. Toschi, C. Sturdy-Colls, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1–8, https://doi.org/10.5194/isprs-archives-XLII-2-1-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1-2018, 2018
A. Dhanda, F. Remondino, and M. Santana Quintero
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 297–302, https://doi.org/10.5194/isprs-archives-XLII-2-297-2018, https://doi.org/10.5194/isprs-archives-XLII-2-297-2018, 2018
E. Grilli, D. Dininno, G. Petrucci, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 399–406, https://doi.org/10.5194/isprs-archives-XLII-2-399-2018, https://doi.org/10.5194/isprs-archives-XLII-2-399-2018, 2018
P. Jende, F. Nex, M. Gerke, and G. Vosselman
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 471–477, https://doi.org/10.5194/isprs-archives-XLII-2-471-2018, https://doi.org/10.5194/isprs-archives-XLII-2-471-2018, 2018
S. Makuti, F. Nex, and M. Y. Yang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 651–658, https://doi.org/10.5194/isprs-archives-XLII-2-651-2018, https://doi.org/10.5194/isprs-archives-XLII-2-651-2018, 2018
F. Menna, E. Nocerino, P. Drap, F. Remondino, A. Murtiyoso, P. Grussenmeyer, and N. Börlin
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 699–705, https://doi.org/10.5194/isprs-archives-XLII-2-699-2018, https://doi.org/10.5194/isprs-archives-XLII-2-699-2018, 2018
E. Nocerino, D. H. Rieke-Zapp, E. Trinkl, R. Rosenbauer, E. M. Farella, D. Morabito, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 773–780, https://doi.org/10.5194/isprs-archives-XLII-2-773-2018, https://doi.org/10.5194/isprs-archives-XLII-2-773-2018, 2018
Y. Tefera, F. Poiesi, D. Morabito, F. Remondino, E. Nocerino, and P. Chippendale
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1097–1103, https://doi.org/10.5194/isprs-archives-XLII-2-1097-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1097-2018, 2018
T. Zieher, I. Toschi, F. Remondino, M. Rutzinger, Ch. Kofler, A. Mejia-Aguilar, and R. Schlögel
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1243–1250, https://doi.org/10.5194/isprs-archives-XLII-2-1243-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1243-2018, 2018
D. Duarte, F. Nex, N. Kerle, and G. Vosselman
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 89–96, https://doi.org/10.5194/isprs-annals-IV-2-89-2018, https://doi.org/10.5194/isprs-annals-IV-2-89-2018, 2018
Y. Lin, F. Nex, and M. Y. Yang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 209–216, https://doi.org/10.5194/isprs-annals-IV-2-209-2018, https://doi.org/10.5194/isprs-annals-IV-2-209-2018, 2018
I. Toschi, M. Allocca, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W4, 505–512, https://doi.org/10.5194/isprs-archives-XLII-3-W4-505-2018, https://doi.org/10.5194/isprs-archives-XLII-3-W4-505-2018, 2018
Yuichi S. Hayakawa, Hidetsugu Yoshida, Hiroyuki Obanawa, Ryutaro Naruhashi, Koji Okumura, Masumi Zaiki, and Ryoichi Kontani
Nat. Hazards Earth Syst. Sci., 18, 429–444, https://doi.org/10.5194/nhess-18-429-2018, https://doi.org/10.5194/nhess-18-429-2018, 2018
Short summary
Short summary
This study assesses the applicability of the RPAS-based photogrammetric approach for a high-definition geomorphometry of hummocks, i.e., characteristic morphological features in the surface of debris avalanche deposits caused by a gigantic sector collapse of a volcanic mountain body. Satellite-based topographic data were also utilized to estimate the source volume of the sector collapse. We provide new, detailed insights into the characteristics of the debris avalanche and potential hazards.
This article is included in the Encyclopedia of Geosciences
Federica Fiorucci, Daniele Giordan, Michele Santangelo, Furio Dutto, Mauro Rossi, and Fausto Guzzetti
Nat. Hazards Earth Syst. Sci., 18, 405–417, https://doi.org/10.5194/nhess-18-405-2018, https://doi.org/10.5194/nhess-18-405-2018, 2018
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Short summary
This paper describes the criteria for the optimal selection of remote sensing images to map event landslides, discussing the ability of monoscopic and stereoscopic VHR satellite images and ultra-high-resolution UAV images to resolve the landslide photographical and morphological signatures. The findings can be useful to decide on the optimal imagery and technique to be used when planning the production of a landslide inventory map.
This article is included in the Encyclopedia of Geosciences
Fumitoshi Imaizumi, Yuichi S. Hayakawa, Norifumi Hotta, Haruka Tsunetaka, Okihiro Ohsaka, and Satoshi Tsuchiya
Nat. Hazards Earth Syst. Sci., 17, 1923–1938, https://doi.org/10.5194/nhess-17-1923-2017, https://doi.org/10.5194/nhess-17-1923-2017, 2017
Short summary
Short summary
Debris flow characteristics in the initiation zones are poorly understood because of the difficulty in monitoring. We studied the relationship between the flow characteristics and the accumulation conditions of the storage in an initiation zone of debris flow. Our study clarified that both partly and fully saturated flows are important processes in the initiation zones of debris flow. The predominant type of flow varied temporally and was affected by the volume of storage and rainfall patterns.
This article is included in the Encyclopedia of Geosciences
E. Nocerino, F. Poiesi, A. Locher, Y. T. Tefera, F. Remondino, P. Chippendale, and L. Van Gool
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 187–194, https://doi.org/10.5194/isprs-archives-XLII-2-W8-187-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W8-187-2017, 2017
D. Abate, I. Toschi, C. Sturdy-Colls, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 1–8, https://doi.org/10.5194/isprs-archives-XLII-2-W8-1-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W8-1-2017, 2017
F. Menna, E. Nocerino, D. Morabito, E. M. Farella, M. Perini, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 155–162, https://doi.org/10.5194/isprs-archives-XLII-2-W8-155-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W8-155-2017, 2017
E. Nocerino, M. Dubbini, F. Menna, F. Remondino, M. Gattelli, and D. Covi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 149–156, https://doi.org/10.5194/isprs-archives-XLII-3-W3-149-2017, https://doi.org/10.5194/isprs-archives-XLII-3-W3-149-2017, 2017
C. Stöcker, F. Nex, M. Koeva, and M. Gerke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W6, 355–361, https://doi.org/10.5194/isprs-archives-XLII-2-W6-355-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W6-355-2017, 2017
F. Remondino, E. Nocerino, I. Toschi, and F. Menna
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W5, 591–599, https://doi.org/10.5194/isprs-archives-XLII-2-W5-591-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W5-591-2017, 2017
E. Nocerino, F. Menna, D. Morabito, F. Remondino, I. Toschi, D. Abate, D. Ebolese, E. Farella, F. Fiorillo, S. Minto, P. Rodríguez-Gonzálvez, C. Slongo, and M. G. Speraj
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W2, 179–186, https://doi.org/10.5194/isprs-annals-IV-2-W2-179-2017, https://doi.org/10.5194/isprs-annals-IV-2-W2-179-2017, 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
P. Jende, F. Nex, M. Gerke, and G. Vosselman
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 317–323, https://doi.org/10.5194/isprs-archives-XLII-1-W1-317-2017, https://doi.org/10.5194/isprs-archives-XLII-1-W1-317-2017, 2017
D. Poli, K. Moe, K. Legat, I. Toschi, F. Lago, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 493–498, https://doi.org/10.5194/isprs-archives-XLII-1-W1-493-2017, https://doi.org/10.5194/isprs-archives-XLII-1-W1-493-2017, 2017
I. Toschi, E. Nocerino, F. Remondino, A. Revolti, G. Soria, and S. Piffer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 527–534, https://doi.org/10.5194/isprs-archives-XLII-1-W1-527-2017, https://doi.org/10.5194/isprs-archives-XLII-1-W1-527-2017, 2017
E. Grilli, F. Menna, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W3, 339–344, https://doi.org/10.5194/isprs-archives-XLII-2-W3-339-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W3-339-2017, 2017
D. González-Aguilera, L. López-Fernández, P. Rodriguez-Gonzalvez, D. Guerrero, D. Hernandez-Lopez, F. Remondino, F. Menna, E. Nocerino, I. Toschi, A. Ballabeni, and M. Gaiani
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B6, 31–38, https://doi.org/10.5194/isprs-archives-XLI-B6-31-2016, https://doi.org/10.5194/isprs-archives-XLI-B6-31-2016, 2016
E. Farella, F. Menna, E. Nocerino, D. Morabito, F. Remondino, and M. Campi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 255–262, https://doi.org/10.5194/isprs-archives-XLI-B5-255-2016, https://doi.org/10.5194/isprs-archives-XLI-B5-255-2016, 2016
F. Remondino, I. Toschi, M. Gerke, F. Nex, D. Holland, A. McGill, J. Talaya Lopez, and A. Magarinos
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 639–645, https://doi.org/10.5194/isprs-archives-XLI-B4-639-2016, https://doi.org/10.5194/isprs-archives-XLI-B4-639-2016, 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
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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.
This article is included in the Encyclopedia of Geosciences
M. Gerke, F. Nex, and P. Jende
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3-W4, 11–18, https://doi.org/10.5194/isprs-archives-XL-3-W4-11-2016, https://doi.org/10.5194/isprs-archives-XL-3-W4-11-2016, 2016
E. Nocerino, F. Menna, F. Fassi, and F. Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3-W4, 127–134, https://doi.org/10.5194/isprs-archives-XL-3-W4-127-2016, https://doi.org/10.5194/isprs-archives-XL-3-W4-127-2016, 2016
D. Giordan, A. Manconi, P. Allasia, and D. Bertolo
Nat. Hazards Earth Syst. Sci., 15, 2009–2017, https://doi.org/10.5194/nhess-15-2009-2015, https://doi.org/10.5194/nhess-15-2009-2015, 2015
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Straightforward communication of monitoring results is of major importance in emergency scenarios relevant to large slope instabilities. Here we describe the communication strategy developed for the Mont de La Saxe case study, a large rockslide threatening La Palud and Entrèves hamlets in the Courmayeur municipality (Aosta Valley, Italy).
This article is included in the Encyclopedia of Geosciences
A. Manconi and D. Giordan
Nat. Hazards Earth Syst. Sci., 15, 1639–1644, https://doi.org/10.5194/nhess-15-1639-2015, https://doi.org/10.5194/nhess-15-1639-2015, 2015
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
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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.
This article is included in the Encyclopedia of Geosciences
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
Related subject area
Risk Assessment, Mitigation and Adaptation Strategies, Socioeconomic and Management Aspects
Assessing future impacts of tropical cyclones on global banana production
Review article: Applicability and effectiveness of structural measures for subsidence (risk) reduction in urban areas
Unravelling the capacity–action gap in flood risk adaptation
Mapping vulnerability to climate change for spatial planning in the region of Stuttgart
Assessing the impact of early warning and evacuation on human losses during the 2021 Ahr Valley flood in Germany using agent-based modelling
Modeling Regional Production Capacity Loss Rates Considering Response Bias: Insights from a Questionnaire Survey on Zhengzhou Flood
Warnings based on risk matrices: a coherent framework with consistent evaluation
Adaptive behavior of farmers under consecutive droughts results in more vulnerable farmers: a large-scale agent-based modeling analysis in the Bhima basin, India
Content analysis of multi-annual time series of flood-related Twitter (X) data
Enhancement of state response capability and famine mitigation: a comparative analysis of two drought events in northern China during the Ming dynasty
Flood exposure of environmental assets
A new method for calculating highway blocking due to high-impact weather conditions
Review Article: Analysis of sediment disaster risk assessment surveys in Brazil: A critical review and recommendations
Impacts from cascading multi-hazards using hypergraphs: a case study from the 2015 Gorkha earthquake in Nepal
Review article: Insuring the green economy against natural hazards – charting research frontiers in vulnerability assessment
Ready, Set & Go! An anticipatory action system against droughts
Between global risk reduction goals, scientific–technical capabilities and local realities: a modular approach for user-centric multi-risk assessment
Tracing online flood conversations across borders: A watershed level analysis of geo-social media topics during the 2021 European flood
Flood risk assessment through large-scale modeling under uncertainty
Migration as a hidden risk factor in seismic fatality: spatial modeling of the Chi-Chi earthquake and suburban syndrome
Simulating the effects of sea level rise and soil salinization on adaptation and migration decisions in Mozambique
Current status of water-related planning for climate change adaptation in the Spree river basin, Germany
Using a convection-permitting climate model to assess wine grape productivity: two case studies in Italy
Volcanic risk ranking and regional mapping of the Central Volcanic Zone of the Andes
Development of a regionally consistent and fully probabilistic earthquake risk model for Central Asia
Critical infrastructure resilience: a guide for building indicator systems based on a multi-criteria framework with a focus on implementable actions
Where to start with climate-smart forest management? Climatic risk for forest-based mitigation
Dynamic response of pile–slab retaining wall structure under rockfall impact
Disaster Management Following the Great Kahramanmaraş Earthquakes in 2023, Türkiye
What if extreme droughts occur more frequently? – Mechanisms and limits of forest adaptation in pine monocultures and mixed forests in Berlin-Brandenburg, Germany
Brief Communication: Bridging the data gap – enhancing the representation of global coastal flood protection
Urban growth and spatial segregation increase disaster risk: lessons learned from the 2023 disaster on the North Coast of São Paulo, Brazil
An evaluation on the alignment of drought policy and planning guidelines with the contemporary disaster risk reduction agenda
An impact-chain-based exploration of multi-hazard vulnerability dynamics: the multi-hazard of floods and the COVID-19 pandemic in Romania
Measuring extremes-driven direct biophysical impacts in agricultural drought damages
Always on my mind: indications of post-traumatic stress disorder among those affected by the 2021 flood event in the Ahr valley, Germany
Modelling Flood Losses to Microbusinesses in Ho Chi Minh City, Vietnam
Earthquake insurance in Iran: solvency of local insurers in light of current market practices
Review article: Co-creating knowledge for drought impact assessment in socio-hydrology
Micro-business participation in collective flood adaptation: lessons from scenario-based analysis in Ho Chi Minh City, Vietnam
Brief communication: Storm Daniel flood impact in Greece in 2023: mapping crop and livestock exposure from synthetic-aperture radar (SAR)
Risk reduction through managed retreat? Investigating enabling conditions and assessing resettlement effects on community resilience in Metro Manila
Brief communication: Lessons learned and experiences gained from building up a global survey on societal resilience to changing droughts
How does perceived heat stress differ between urban forms and human vulnerability profiles? – case study Berlin
Regional seismic risk assessment based on ground conditions in Uzbekistan
Unveiling transboundary challenges in river flood risk management: learning from the Ciliwung River basin
Quantitative study of storm surge risk assessment in an undeveloped coastal area of China based on deep learning and geographic information system techniques: a case study of Double Moon Bay
Sensitive infrastructures and people with disabilities – Key issues when strengthening resilience in reconstruction
Multisectoral analysis of drought impacts and management responses to the 2008–2015 record drought in the Colorado Basin, Texas
Simulating multi-hazard event sets for life cycle consequence analysis
Sophie Kaashoek, Žiga Malek, Nadia Bloemendaal, and Marleen C. de Ruiter
Nat. Hazards Earth Syst. Sci., 25, 1963–1974, https://doi.org/10.5194/nhess-25-1963-2025, https://doi.org/10.5194/nhess-25-1963-2025, 2025
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Tropical storms are expected to get stronger all over the world, and this will have a big impact on people, buildings and important activities like growing bananas. Already, in different parts of the world, banana farms are being hurt by these storms, which makes banana prices go up and affects the people who grow them. We are not sure how these storms will affect bananas everywhere in the future. We assessed what happened to banana farms during storms in different parts of the world.
This article is included in the Encyclopedia of Geosciences
Nicoletta Nappo and Mandy Korff
Nat. Hazards Earth Syst. Sci., 25, 1811–1839, https://doi.org/10.5194/nhess-25-1811-2025, https://doi.org/10.5194/nhess-25-1811-2025, 2025
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Cities in coastal and delta areas need effective engineering techniques to counteract subsidence and its damage. This paper presents a framework for choosing these techniques using a decision tree and four performance parameters. This procedure was tested on various cases representative of different scenarios. This demonstrated the potential of this method for initial screenings of techniques which site-specific assessments should always follow.
This article is included in the Encyclopedia of Geosciences
Annika Schubert, Anne von Streit, and Matthias Garschagen
Nat. Hazards Earth Syst. Sci., 25, 1621–1653, https://doi.org/10.5194/nhess-25-1621-2025, https://doi.org/10.5194/nhess-25-1621-2025, 2025
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Households play a crucial role in climate adaptation efforts. Yet, households require capacities to implement measures. We explore which capacities enable German households to adapt to flooding. Our results indicate that flood-related capacities such as risk perception, responsibility appraisal, and motivation are pivotal, whereas financial assets are secondary. Enhancing these specific capacities, e.g. through collaborations between households and municipalities, could promote local adaptation.
This article is included in the Encyclopedia of Geosciences
Joanna M. McMillan, Franziska Göttsche, Joern Birkmann, Rainer Kapp, Corinna Schmidt, Britta Weisser, and Ali Jamshed
Nat. Hazards Earth Syst. Sci., 25, 1573–1596, https://doi.org/10.5194/nhess-25-1573-2025, https://doi.org/10.5194/nhess-25-1573-2025, 2025
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Adapting to climate extremes is a challenge for spatial planning. Risk maps that include not just a consideration of hazards but also social vulnerability can help. We develop social vulnerability maps for the Stuttgart region, Germany. We show the maps, describe how and why we developed them, and provide an analysis of practitioners' needs and their feedback. Insights presented in this paper can help to improve map usability and to better link research and planning practice.
This article is included in the Encyclopedia of Geosciences
André Felipe Rocha Silva, Julian Cardoso Eleutério, Heiko Apel, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 25, 1501–1520, https://doi.org/10.5194/nhess-25-1501-2025, https://doi.org/10.5194/nhess-25-1501-2025, 2025
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This work uses agent-based modelling to evaluate the impact of flood warning and evacuation systems on human losses during the 2021 Ahr Valley flood in Germany. While the first flood warning with evacuation instructions is identified as timely, its lack of detail and effectiveness resulted in low public risk awareness. Better dissemination of warnings and improved risk perception and preparedness among the population could reduce casualties by up to 80 %.
This article is included in the Encyclopedia of Geosciences
Lijiao Yang, Yan Luo, Zilong Li, and Xinyu Jiang
EGUsphere, https://doi.org/10.5194/egusphere-2024-3923, https://doi.org/10.5194/egusphere-2024-3923, 2025
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This study proposes a response-bias-tolerant methodology for constructing production capacity loss rate (PCLR) curves, which addresses response bias in extreme flood scenarios and considers the distribution characteristics of PCLR under different damage states. The core value of this study is to provide a competing and promising input in economic modeling, such as input-output and computable general equilibrium models.
This article is included in the Encyclopedia of Geosciences
Robert J. Taggart and David J. Wilke
EGUsphere, https://doi.org/10.5194/egusphere-2025-323, https://doi.org/10.5194/egusphere-2025-323, 2025
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Our research presents a new method for determining warning levels for any hazard. Using risk matrices, our framework addresses issues found in other approaches. We provide examples to demonstrate how the approach works. A powerful method for evaluating warning accuracy is given, allowing for a cycle of continuous improvement in warning services. This research is relevant to a broad audience, from those who develop forecast systems to practitioners who issue or communicate warnings.
This article is included in the Encyclopedia of Geosciences
Maurice W. M. L. Kalthof, Jens de Bruijn, Hans de Moel, Heidi Kreibich, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 25, 1013–1035, https://doi.org/10.5194/nhess-25-1013-2025, https://doi.org/10.5194/nhess-25-1013-2025, 2025
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Our study explores how farmers in India's Bhima basin respond to consecutive droughts. We simulated farmers' individual choices – like changing crops or digging wells – and their effects on profits, yields, and water resources. Results show these adaptations, while improving incomes, ultimately increase drought vulnerability and damage. Such insights emphasize the need for alternative adaptations and highlight the value of socio-hydrological models in shaping policies to lessen drought impacts.
This article is included in the Encyclopedia of Geosciences
Nadja Veigel, Heidi Kreibich, Jens A. de Bruijn, Jeroen C. J. H. Aerts, and Andrea Cominola
Nat. Hazards Earth Syst. Sci., 25, 879–891, https://doi.org/10.5194/nhess-25-879-2025, https://doi.org/10.5194/nhess-25-879-2025, 2025
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This study explores how social media, specifically Twitter (X), can help us understand public reactions to floods in Germany from 2014 to 2021. Using large language models, we extract topics and patterns of behavior from flood-related tweets. The findings offer insights to improve communication and disaster management. Topics related to low-impact flooding contain descriptive hazard-related content, while the focus shifts to catastrophic impacts and responsibilities during high-impact events.
This article is included in the Encyclopedia of Geosciences
Fangyu Tian, Yun Su, Xudong Chen, and Le Tao
Nat. Hazards Earth Syst. Sci., 25, 591–607, https://doi.org/10.5194/nhess-25-591-2025, https://doi.org/10.5194/nhess-25-591-2025, 2025
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This study developed a model of extreme drought-induced famine processes and response mechanisms in ancient China. The spatial distribution of drought and famine during the Chenghua drought and the Wanli drought was constructed. By categorizing drought-affected counties into three types, a comparative analysis of the differences in famine severity and response effectiveness between the Chenghua and Wanli droughts was conducted.
This article is included in the Encyclopedia of Geosciences
Gabriele Bertoli, Chiara Arrighi, and Enrica Caporali
Nat. Hazards Earth Syst. Sci., 25, 565–580, https://doi.org/10.5194/nhess-25-565-2025, https://doi.org/10.5194/nhess-25-565-2025, 2025
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Environmental assets are crucial to sustaining and fulfilling life on Earth via ecosystem services (ESs). Studying their flood risk is thus seminal, in addition to being required by several norms. However, this field is not yet adequately developed. We studied the exposure component of flood risk and developed an evaluating methodology based on the ESs provided by environmental assets to discern assets and areas that are more important than others with metrics suitable to large-scale studies.
This article is included in the Encyclopedia of Geosciences
Duanyang Liu, Tian Jing, Mingyue Yan, Ismail Gultepe, Yunxuan Bao, Hongbin Wang, and Fan Zu
Nat. Hazards Earth Syst. Sci., 25, 493–513, https://doi.org/10.5194/nhess-25-493-2025, https://doi.org/10.5194/nhess-25-493-2025, 2025
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Highway-blocking events are characterized by diurnal variation. A classification method of severity levels of highway blocking is catagorized into five levels. The severity levels of highway blocking due to high-impact weather are evaluated. A method for calculating the degree of highway load in China is proposed. A quantitative assessment of the losses of highway blocking due to dense fog is conducted. The highway losses caused by dense fog are concentrated in North, East, and Southwest China.
This article is included in the Encyclopedia of Geosciences
Thiago Dutra dos Santos and Taro Uchida
EGUsphere, https://doi.org/10.5194/egusphere-2024-2255, https://doi.org/10.5194/egusphere-2024-2255, 2025
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Five federal sediment-related disaster risk assessments have been conducted in Brazil, each with distinct objectives and methodologies. To evaluate their effectiveness and identify issues, we analyzed the methods, the outcome data, and reviewed the status of disaster prevention initiatives based on the assessment results. Our findings revealed persistent problems across all methods. Consequently, we recommended improvements to enhance their efficacy and reliability.
This article is included in the Encyclopedia of Geosciences
Alexandre Dunant, Tom R. Robinson, Alexander L. Densmore, Nick J. Rosser, Ragindra Man Rajbhandari, Mark Kincey, Sihan Li, Prem Raj Awasthi, Max Van Wyk de Vries, Ramesh Guragain, Erin Harvey, and Simon Dadson
Nat. Hazards Earth Syst. Sci., 25, 267–285, https://doi.org/10.5194/nhess-25-267-2025, https://doi.org/10.5194/nhess-25-267-2025, 2025
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Natural hazards like earthquakes often trigger other disasters, such as landslides, creating complex chains of impacts. We developed a risk model using a mathematical approach called hypergraphs to efficiently measure the impact of interconnected hazards. We showed that it can predict broad patterns of damage to buildings and roads from the 2015 Nepal earthquake. The model's efficiency allows it to generate multiple disaster scenarios, even at a national scale, to support preparedness plans.
This article is included in the Encyclopedia of Geosciences
Harikesan Baskaran, Ioanna Ioannou, Tiziana Rossetto, Jonas Cels, Mathis Joffrain, Nicolas Mortegoutte, Aurelie Fallon Saint-Lo, and Catalina Spataru
Nat. Hazards Earth Syst. Sci., 25, 49–76, https://doi.org/10.5194/nhess-25-49-2025, https://doi.org/10.5194/nhess-25-49-2025, 2025
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There is a global need for insuring green economy assets against natural hazard events. But their complexity and low exposure history mean the data required for vulnerability evaluation by the insurance industry are scarce. A systematic literature review is conducted in this study to determine the suitability of current published literature for this purpose. Knowledge gaps are charted, and a representative asset–hazard taxonomy is proposed to guide future quantitative research.
This article is included in the Encyclopedia of Geosciences
Gabriela Guimarães Nobre, Jamie Towner, Bernardino Nhantumbo, Célio João da Conceição Marcos Matuele, Isaias Raiva, Massimiliano Pasqui, Sara Quaresima, and Rogério Manuel Lemos Pereira Bonifácio
Nat. Hazards Earth Syst. Sci., 24, 4661–4682, https://doi.org/10.5194/nhess-24-4661-2024, https://doi.org/10.5194/nhess-24-4661-2024, 2024
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The
This article is included in the Encyclopedia of Geosciences
Ready, Set & Go!system, developed by the World Food Programme and partners, employs seasonal forecasts to tackle droughts in Mozambique. With the Maputo Declaration, efforts to expand early warning systems are aligning with global initiatives for universal protection by 2027. Through advanced forecasting and anticipatory action, it could cover 76 % of districts against severe droughts, reaching 87 % national coverage for the first months of the rainy season.
Elisabeth Schoepfer, Jörn Lauterjung, Torsten Riedlinger, Harald Spahn, Juan Camilo Gómez Zapata, Christian D. León, Hugo Rosero-Velásquez, Sven Harig, Michael Langbein, Nils Brinckmann, Günter Strunz, Christian Geiß, and Hannes Taubenböck
Nat. Hazards Earth Syst. Sci., 24, 4631–4660, https://doi.org/10.5194/nhess-24-4631-2024, https://doi.org/10.5194/nhess-24-4631-2024, 2024
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In this paper, we provide a brief introduction of the paradigm shift from managing disasters to managing risks, followed by single-hazard to multi-risk assessment. We highlight four global strategies that address disaster risk reduction and call for action. Subsequently, we present a conceptual approach for multi-risk assessment which was designed to serve potential users like disaster risk managers, urban planners or operators of critical infrastructure to increase their capabilities.
This article is included in the Encyclopedia of Geosciences
Sébastien Dujardin, Dorian Arifi, Sebastian Schmidt, Catherine Linard, and Bernd Resch
EGUsphere, https://doi.org/10.5194/egusphere-2024-3255, https://doi.org/10.5194/egusphere-2024-3255, 2024
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Our research explores how social media can help understand public responses to floods, focusing on the 2021 Western European flood. By analysing flood-related topics on social media, we found that conversations varied depending on the location and impact of the flood, with in-disaster concerns emerging in severely affected upstream areas and post-disaster discussions in less affected regions. This shows the potential of social media for better disaster coordination along border crossing rivers.
This article is included in the Encyclopedia of Geosciences
Luciano Pavesi, Elena Volpi, and Aldo Fiori
Nat. Hazards Earth Syst. Sci., 24, 4507–4522, https://doi.org/10.5194/nhess-24-4507-2024, https://doi.org/10.5194/nhess-24-4507-2024, 2024
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Several sources of uncertainty affect flood risk estimation for reliable assessment for investment, insurance and risk management. Here, we consider the uncertainty of large-scale flood hazard modeling, providing a range of risk values that show significant variability depending on geomorphic factors and land use types. This allows for identifying the critical points where single-value estimates may underestimate the risk and the areas of vulnerability for prioritizing risk reduction efforts.
This article is included in the Encyclopedia of Geosciences
Tzu-Hsin Karen Chen, Kuan-Hui Elaine Lin, Thung-Hong Lin, Gee-Yu Liu, Chin-Hsun Yeh, and Diana Maria Ceballos
Nat. Hazards Earth Syst. Sci., 24, 4457–4471, https://doi.org/10.5194/nhess-24-4457-2024, https://doi.org/10.5194/nhess-24-4457-2024, 2024
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This study shows migration patterns to be a critical factor in seismic fatalities. Analyzing the Chi-Chi earthquake in Taiwan, we find that lower income and a higher indigenous population at migrants' origins are correlated with higher fatalities at their destinations. This underscores the need for affordable and safe housing on the outskirts of megacities, where migrants from lower-income and historically marginalized groups are more likely to reside due to precarious employment conditions.
This article is included in the Encyclopedia of Geosciences
Kushagra Pandey, Jens A. de Bruijn, Hans de Moel, W. J. Wouter Botzen, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 24, 4409–4429, https://doi.org/10.5194/nhess-24-4409-2024, https://doi.org/10.5194/nhess-24-4409-2024, 2024
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As sea levels rise, coastal areas will experience more frequent flooding, and salt water will start seeping into the soil, which is a serious issue for farmers who rely on good soil quality for their crops. Here, we studied coastal Mozambique to understand the risks from sea level rise and flooding by looking at how salt intrusion affects farming and how floods damage buildings. We find that 15 %–21 % of coastal households will adapt and 13 %–20 % will migrate to inland areas in the future.
This article is included in the Encyclopedia of Geosciences
Saskia Arndt and Stefan Heiland
Nat. Hazards Earth Syst. Sci., 24, 4369–4383, https://doi.org/10.5194/nhess-24-4369-2024, https://doi.org/10.5194/nhess-24-4369-2024, 2024
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This study provides an overview of the current status of climate change adaptation in plans for water management, spatial planning and landscape planning in the Spree river basin. Only 39 % of 28 plans analysed specify objectives and measures for adaptation to climate change. To fill this gap, more frequent updates of plans, a stronger focus on multifunctional measures, and the adaptation of best-practice examples for systematic integration of climate change impacts and adaptation are needed.
This article is included in the Encyclopedia of Geosciences
Laura T. Massano, Giorgia Fosser, Marco Gaetani, and Cécile Caillaud
Nat. Hazards Earth Syst. Sci., 24, 4293–4315, https://doi.org/10.5194/nhess-24-4293-2024, https://doi.org/10.5194/nhess-24-4293-2024, 2024
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Traditional wine-growing regions are threatened by expected climate change. Climate models and observations are used to calculate bioclimatic indices based on both temperature and precipitation. These indices are correlated with grape productivity in two wine-growing regions in Italy. This analysis paves the way for using climate models to study how climate change will affect wine production in the future.
This article is included in the Encyclopedia of Geosciences
María-Paz Reyes-Hardy, Luigia Sara Di Maio, Lucia Dominguez, Corine Frischknecht, Sébastien Biass, Leticia Freitas Guimarães, Amiel Nieto-Torres, Manuela Elissondo, Gabriela Pedreros, Rigoberto Aguilar, Álvaro Amigo, Sebastián García, Pablo Forte, and Costanza Bonadonna
Nat. Hazards Earth Syst. Sci., 24, 4267–4291, https://doi.org/10.5194/nhess-24-4267-2024, https://doi.org/10.5194/nhess-24-4267-2024, 2024
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The Central Volcanic Zone of the Andes (CVZA) spans four countries with 59 volcanoes. We identify those with the most intense and frequent eruptions and the highest potential impact that require risk mitigation actions. Using multiple risk factors, we encourage the use of regional volcanic risk assessments to analyse the level of preparedness especially of transboundary volcanoes. We hope that our work will motivate further collaborative studies and promote cooperation between CVZA countries.
This article is included in the Encyclopedia of Geosciences
Mario A. Salgado-Gálvez, Mario Ordaz, Benjamín Huerta, Osvaldo Garay, Carlos Avelar, Ettore Fagà, Mohsen Kohrangi, Paola Ceresa, Georgios Triantafyllou, and Ulugbek T. Begaliev
Nat. Hazards Earth Syst. Sci., 24, 3851–3868, https://doi.org/10.5194/nhess-24-3851-2024, https://doi.org/10.5194/nhess-24-3851-2024, 2024
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Central Asia is prone to earthquake losses, which can heavily impact different types of assets. This paper presents the details of a probabilistic earthquake risk model which made use of a regionally consistent approach to assess feasible earthquake losses in five countries. Results are presented in terms of commonly used risk metrics, which are aimed at facilitating a policy dialogue regarding different disaster risk management strategies, from risk mitigation to disaster risk financing.
This article is included in the Encyclopedia of Geosciences
Zhuyu Yang, Bruno Barroca, Ahmed Mebarki, Katia Laffréchine, Hélène Dolidon, and Lionel Lilas
Nat. Hazards Earth Syst. Sci., 24, 3723–3753, https://doi.org/10.5194/nhess-24-3723-2024, https://doi.org/10.5194/nhess-24-3723-2024, 2024
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To integrate resilience assessment into practical management, this study designs a step-by-step guide that enables managers of critical infrastructure (CI) to create specific indicator systems tailored to real cases. This guide considers the consequences of hazards to CI and the cost–benefit analysis and side effects of implementable actions. The assessment results assist managers, as they are based on a multi-criterion framework that addresses several factors valued in practical management.
This article is included in the Encyclopedia of Geosciences
Natalie Piazza, Luca Malanchini, Edoardo Nevola, and Giorgio Vacchiano
Nat. Hazards Earth Syst. Sci., 24, 3579–3595, https://doi.org/10.5194/nhess-24-3579-2024, https://doi.org/10.5194/nhess-24-3579-2024, 2024
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Natural disturbances are projected to intensify in the future, threatening our forests and their functions such as wood production, protection against natural hazards, and carbon sequestration. By assessing risks to forests from wind and fire damage, alongside the vulnerability of carbon, it is possible to prioritize forest stands at high risk. In this study, we propose a novel methodological approach to support climate-smart forest management and inform better decision-making.
This article is included in the Encyclopedia of Geosciences
Peng Zou, Gang Luo, Yuzhang Bi, and Hanhua Xu
Nat. Hazards Earth Syst. Sci., 24, 3497–3517, https://doi.org/10.5194/nhess-24-3497-2024, https://doi.org/10.5194/nhess-24-3497-2024, 2024
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The pile–slab retaining wall, an innovative rockfall shield, is widely used in China's western mountains. However, its dynamic impact response and resistance remain unclear due to structural complexity. A comprehensive dynamic analysis of the structure, under various impacts, was done using the finite-element method. The maximum impact energy that the structure can withstand is 905 kJ, and various indexes were obtained.
This article is included in the Encyclopedia of Geosciences
Bektaş Sari
EGUsphere, https://doi.org/10.5194/egusphere-2024-2538, https://doi.org/10.5194/egusphere-2024-2538, 2024
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After the earthquake, the Turkish Government mobilized all available resources, ensured regular information updates, and deployed a significant number of rescue personnel to the affected areas. However, the scale of this devastating disaster, resulting in the loss of over 50,000 lives, underscores the critical importance of building earthquake-resistant structures as the most effective means to mitigate such calamities.
This article is included in the Encyclopedia of Geosciences
Jamir Priesner, Boris Sakschewski, Maik Billing, Werner von Bloh, Sebastian Fiedler, Sarah Bereswill, Kirsten Thonicke, and Britta Tietjen
EGUsphere, https://doi.org/10.5194/egusphere-2024-3066, https://doi.org/10.5194/egusphere-2024-3066, 2024
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Our simulations suggest that increased drought frequencies lead to a drastic reduction in biomass in pine monoculture and mixed forest. Mixed forest eventually recovered, as long as drought frequencies was not too high. The higher resilience of mixed forests was due to higher adaptive capacity. After adaptation mixed forests were mainly composed of smaller, broad-leaved trees with higher wood density and slower growth.This would have strong implications for forestry and other ecosystem services.
This article is included in the Encyclopedia of Geosciences
Nicole van Maanen, Joël J.-F. G. De Plaen, Timothy Tiggeloven, Maria Luisa Colmenares, Philip J. Ward, Paolo Scussolini, and Elco Koks
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-137, https://doi.org/10.5194/nhess-2024-137, 2024
Revised manuscript accepted for NHESS
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Understanding coastal flood protection is vital for assessing risks from natural disasters and climate change. However, current global data on coastal flood protection is limited and based on simplified assumptions, leading to potential uncertainties in risk estimates. As a step in this direction, we propose a comprehensive dataset, COASTPROS-EU, which compiles coastal flood protection standards in Europe.
This article is included in the Encyclopedia of Geosciences
Cassiano Bastos Moroz and Annegret H. Thieken
Nat. Hazards Earth Syst. Sci., 24, 3299–3314, https://doi.org/10.5194/nhess-24-3299-2024, https://doi.org/10.5194/nhess-24-3299-2024, 2024
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We evaluate the influence of urban processes on the impacts of the 2023 disaster that hit the North Coast of São Paulo, Brazil. The impacts of the disaster were largely associated with rapid urban expansion over the last 3 decades, with a recent occupation of risky areas. Moreover, lower-income neighborhoods were considerably more severely impacted, which evidences their increased exposure to such events. These results highlight the strong association between disaster risk and urban poverty.
This article is included in the Encyclopedia of Geosciences
Ilyas Masih
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-163, https://doi.org/10.5194/nhess-2024-163, 2024
Revised manuscript accepted for NHESS
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This study evaluates twelve drought policy and planning guidelines for their alignment with the four priority areas of the SENDAI Framework. The guidelines do not align very well with the contemporary disaster risk reduction agenda. The study highlights strengths, weaknesses, opportunities and threats, and provides useful insights to develop next generation of drought guidelines.
This article is included in the Encyclopedia of Geosciences
Andra-Cosmina Albulescu and Iuliana Armaș
Nat. Hazards Earth Syst. Sci., 24, 2895–2922, https://doi.org/10.5194/nhess-24-2895-2024, https://doi.org/10.5194/nhess-24-2895-2024, 2024
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This study delves into the dynamics of vulnerability within a multi-hazard context, proposing an enhanced impact-chain-based framework that analyses the augmentation of vulnerability. The case study refers to the flood events and the COVID-19 pandemic that affected Romania (2020–2021). The impact chain shows that (1) the unforeseen implications of impacts, (2) the wrongful action of adaptation options, and (3) inaction can form the basis for increased vulnerability.
This article is included in the Encyclopedia of Geosciences
Mansi Nagpal, Jasmin Heilemann, Luis Samaniego, Bernd Klauer, Erik Gawel, and Christian Klassert
EGUsphere, https://doi.org/10.5194/egusphere-2024-2585, https://doi.org/10.5194/egusphere-2024-2585, 2024
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This study measures the direct effects of droughts in association with other extreme weather events on agriculture in Germany at district level. Using a statistical yield model, we quantify the direct impact of extremes on crop yields and farm revenues. Extreme events during drought cause an average annual damage of €781 million, accounting for 45 % of reported revenue losses. The insights can help develop better strategies for managing and mitigating the effects of future climate extremes.
This article is included in the Encyclopedia of Geosciences
Marie-Luise Zenker, Philip Bubeck, and Annegret H. Thieken
Nat. Hazards Earth Syst. Sci., 24, 2837–2856, https://doi.org/10.5194/nhess-24-2837-2024, https://doi.org/10.5194/nhess-24-2837-2024, 2024
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Despite the visible flood damage, mental health is a growing concern. Yet, there is limited data in Germany on mental health impacts after floods. A survey in a heavily affected region revealed that 28 % of respondents showed signs of post-traumatic stress disorder 1 year later. Risk factors include gender, serious injury or illness due to flooding, and feeling left alone to cope with impacts. The study highlights the need for tailored mental health support for flood-affected populations.
This article is included in the Encyclopedia of Geosciences
Anna Buch, Dominik Paprotny, Kasra Rafiezadeh Shahi, Heidi Kreibich, and Nivedita Sairam
EGUsphere, https://doi.org/10.5194/egusphere-2024-2340, https://doi.org/10.5194/egusphere-2024-2340, 2024
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Many households in Vietnam depend on revenues from microbusinesses (shop-houses). However, losses caused by regular flooding to the microbusinesses are not modelled. Business turnover, building age and water depth are found to be the main drivers of flood losses to microbusinesses. We built and validated probabilistic models (Non-parametric Bayesian Networks) that estimate flood losses to microbusinesses. The results help in flood risk management and adaption decision making for microbusinesses.
This article is included in the Encyclopedia of Geosciences
Mohsen Ghafory-Ashtiany and Hooman Motamed
Nat. Hazards Earth Syst. Sci., 24, 2707–2726, https://doi.org/10.5194/nhess-24-2707-2024, https://doi.org/10.5194/nhess-24-2707-2024, 2024
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Iranian insurers have been offering earthquake coverage since the 1990s. However, despite international best practices, they still do not use modern methods for risk pricing and management. As such, they seem to be accumulating seismic risk over time. This paper examines the viability of this market in Iran by comparing the local market practices with international best practices in earthquake risk pricing (catastrophe modeling) and insurance risk management (European Solvency II regime).
This article is included in the Encyclopedia of Geosciences
Silvia De Angeli, Lorenzo Villani, Giulio Castelli, Maria Rusca, Giorgio Boni, Elena Bresci, and Luigi Piemontese
EGUsphere, https://doi.org/10.5194/egusphere-2024-2207, https://doi.org/10.5194/egusphere-2024-2207, 2024
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Despite droughts are deeply intertwined within sociohydrological systems, traditional top-down approaches often ignore those directly affected. By integrating insights from five research fields, we present a framework to guide the co-creation of knowledge for drought impact assessment. Emphasizing social dynamics and power imbalances, the framework guides a more inclusive approach to drought assessment and adaptation.
This article is included in the Encyclopedia of Geosciences
Javier Revilla Diez, Roxana Leitold, Van Tran, and Matthias Garschagen
Nat. Hazards Earth Syst. Sci., 24, 2425–2440, https://doi.org/10.5194/nhess-24-2425-2024, https://doi.org/10.5194/nhess-24-2425-2024, 2024
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Micro-businesses, often overlooked in adaptation research, show surprising willingness to contribute to collective adaptation despite limited finances and local support. Based on a study in Ho Chi Minh City in Vietnam, approximately 70 % are ready for awareness campaigns, and 39 % would provide financial support if costs were shared. These findings underscore the need for increased involvement of micro-businesses in local adaptation plans to enhance collective adaptive capacity.
This article is included in the Encyclopedia of Geosciences
Kang He, Qing Yang, Xinyi Shen, Elias Dimitriou, Angeliki Mentzafou, Christina Papadaki, Maria Stoumboudi, and Emmanouil N. Anagnostou
Nat. Hazards Earth Syst. Sci., 24, 2375–2382, https://doi.org/10.5194/nhess-24-2375-2024, https://doi.org/10.5194/nhess-24-2375-2024, 2024
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About 820 km2 of agricultural land was inundated in central Greece due to Storm Daniel. A detailed analysis revealed that the crop most affected by the flooding was cotton; the inundated area of more than 282 km2 comprised ~ 30 % of the total area planted with cotton in central Greece. In terms of livestock, we estimate that more than 14 000 ornithoids and 21 500 sheep and goats were affected. Consequences for agriculture and animal husbandry in Greece are expected to be severe.
This article is included in the Encyclopedia of Geosciences
Hannes Lauer, Carmeli Marie C. Chaves, Evelyn Lorenzo, Sonia Islam, and Jörn Birkmann
Nat. Hazards Earth Syst. Sci., 24, 2243–2261, https://doi.org/10.5194/nhess-24-2243-2024, https://doi.org/10.5194/nhess-24-2243-2024, 2024
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In many urban areas, people face high exposure to hazards. Resettling them to safer locations becomes a major strategy, not least because of climate change. This paper dives into the success factors of government-led resettlement in Manila and finds surprising results which challenge the usual narrative and fuel the conversation on resettlement as an adaptation strategy. Contrary to expectations, the location – whether urban or rural – of the new home is less important than safety from floods.
This article is included in the Encyclopedia of Geosciences
Marina Batalini de Macedo, Marcos Roberto Benso, Karina Simone Sass, Eduardo Mario Mendiondo, Greicelene Jesus da Silva, Pedro Gustavo Câmara da Silva, Elisabeth Shrimpton, Tanaya Sarmah, Da Huo, Michael Jacobson, Abdullah Konak, Nazmiye Balta-Ozkan, and Adelaide Cassia Nardocci
Nat. Hazards Earth Syst. Sci., 24, 2165–2173, https://doi.org/10.5194/nhess-24-2165-2024, https://doi.org/10.5194/nhess-24-2165-2024, 2024
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With climate change, societies increasingly need to adapt to deal with more severe droughts and the impacts they can have on food production. To make better adaptation decisions, drought resilience indicators can be used. To build these indicators, surveys with experts can be done. However, designing surveys is a costly process that can influence how experts respond. In this communication, we aim to deal with the challenges encountered in the development of surveys to help further research.
This article is included in the Encyclopedia of Geosciences
Nimra Iqbal, Marvin Ravan, Zina Mitraka, Joern Birkmann, Sue Grimmond, Denise Hertwig, Nektarios Chrysoulakis, Giorgos Somarakis, and Angela Wendnagel-Beck
EGUsphere, https://doi.org/10.5194/egusphere-2024-1907, https://doi.org/10.5194/egusphere-2024-1907, 2024
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This work deepens the understanding of how perceived heat stress, human vulnerability (e.g. age, income) and adaptive capacities (e.g. green, shaded spaces) are coupled with urban structures. The results show that perceived heat stress decreases with distance from urban center, however, human vulnerability and adaptive capacities depend stronger on inner-variations and differences between urban structures. Planning policies and adaptation strategies should account for these differences.
This article is included in the Encyclopedia of Geosciences
Vakhitkhan Alikhanovich Ismailov, Sharofiddin Ismatullayevich Yodgorov, Akhror Sabriddinovich Khusomiddinov, Eldor Makhmadiyorovich Yadigarov, Bekzod Uktamovich Aktamov, and Shuhrat Bakhtiyorovich Avazov
Nat. Hazards Earth Syst. Sci., 24, 2133–2146, https://doi.org/10.5194/nhess-24-2133-2024, https://doi.org/10.5194/nhess-24-2133-2024, 2024
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For the basis of seismic risk assessment, maps of seismic intensity increment and an improved map of seismic hazard have been developed, taking into account the engineering-geological conditions of the territory of Uzbekistan and the seismic characteristics of soils. For seismic risk map development, databases were created based on geographic information system platforms, allowing us to systematize and evaluate the regional distribution of information.
This article is included in the Encyclopedia of Geosciences
Harkunti Pertiwi Rahayu, Khonsa Indana Zulfa, Dewi Nurhasanah, Richard Haigh, Dilanthi Amaratunga, and In In Wahdiny
Nat. Hazards Earth Syst. Sci., 24, 2045–2064, https://doi.org/10.5194/nhess-24-2045-2024, https://doi.org/10.5194/nhess-24-2045-2024, 2024
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Transboundary flood risk management in the Ciliwung River basin is placed in a broader context of disaster management, environmental science, and governance. This is particularly relevant for areas of research involving the management of shared water resources, the impact of regional development on flood risk, and strategies to reduce economic losses from flooding.
This article is included in the Encyclopedia of Geosciences
Lichen Yu, Hao Qin, Shining Huang, Wei Wei, Haoyu Jiang, and Lin Mu
Nat. Hazards Earth Syst. Sci., 24, 2003–2024, https://doi.org/10.5194/nhess-24-2003-2024, https://doi.org/10.5194/nhess-24-2003-2024, 2024
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This paper proposes a quantitative storm surge risk assessment method for data-deficient regions. A coupled model is used to simulate five storm surge scenarios. Deep learning is used to extract building footprints. Economic losses are calculated by combining adjusted depth–damage functions with inundation simulation results. Zoning maps illustrate risk levels based on economic losses, aiding in disaster prevention measures to reduce losses in coastal areas.
This article is included in the Encyclopedia of Geosciences
Alessa Truedinger, Joern Birkmann, Mark Fleischhauer, and Celso Ferreira
EGUsphere, https://doi.org/10.5194/egusphere-2024-1607, https://doi.org/10.5194/egusphere-2024-1607, 2024
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In post-disaster reconstruction, emphasis should be placed on critical and sensitive infrastructures. In Germany as in other countries, sensitive infrastructures have not yet been focused on – therefore, we developed a method for determining the risk sensitive infrastructures are facing in the context of riverine and pluvial flooding. The easy-to-use assessment framework can be applied to various sensitive infrastructures, e.g. to qualify and accelerate decisions in the reconstruction process.
This article is included in the Encyclopedia of Geosciences
Stephen B. Ferencz, Ning Sun, Sean W. D. Turner, Brian A. Smith, and Jennie S. Rice
Nat. Hazards Earth Syst. Sci., 24, 1871–1896, https://doi.org/10.5194/nhess-24-1871-2024, https://doi.org/10.5194/nhess-24-1871-2024, 2024
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Drought has long posed an existential threat to society. Population growth, economic development, and the potential for more extreme and prolonged droughts due to climate change pose significant water security challenges. Better understanding the impacts and adaptive responses resulting from extreme drought can aid adaptive planning. The 2008–2015 record drought in the Colorado Basin, Texas, United States, is used as a case study to assess impacts and responses to severe drought.
This article is included in the Encyclopedia of Geosciences
Leandro Iannacone, Kenneth Otárola, Roberto Gentile, and Carmine Galasso
Nat. Hazards Earth Syst. Sci., 24, 1721–1740, https://doi.org/10.5194/nhess-24-1721-2024, https://doi.org/10.5194/nhess-24-1721-2024, 2024
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The paper presents a review of the available classifications for hazard interactions in a multi-hazard context, and it incorporates such classifications from a modeling perspective. The outcome is a sequential Monte Carlo approach enabling efficient simulation of multi-hazard event sets (i.e., sequences of events throughout the life cycle). These event sets can then be integrated into frameworks for the quantification of consequences for the purposes of life cycle consequence (LCCon) analysis.
This article is included in the Encyclopedia of Geosciences
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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.
Remotely piloted aerial systems can acquire on-demand ultra-high-resolution images that can be...
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