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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIII-B1-2020
https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-259-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-259-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
06 Aug 2020
| 06 Aug 2020
QUICK 3D WITH UAV AND TOF CAMERA FOR GEOMORPHOMETRIC ASSESSMENT
A. Masiero
Dept. of Civil and Environmental Engineering, University of Florence, via di Santa Marta 3, Florence 50139, Italy
Interdepartmental Research Center of Geomatics (CIRGEO), University of Padova, Viale dell’Università 16, Legnaro (PD) 35020, Italy
Department of Civil and Environmental Engineering, University of Connecticut, Storrs, CT 06269, USA
P. Tarolli
Department of Land, Environment, Agriculture and Forestry, University of Padova, Viale dell’Università 16, Legnaro (PD) 35020, Italy
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A. Masiero and D. Costantino
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B. G. Marino, A. Masiero, F. Chiabrando, A. M. Lingua, F. Fissore, W. Błaszczak-Bak, and A. Vettore
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A. Masiero, F. Chiabrando, A. M. Lingua, B. G. Marino, F. Fissore, A. Guarnieri, and A. Vettore
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 683–690, https://doi.org/10.5194/isprs-archives-XLII-2-683-2018, https://doi.org/10.5194/isprs-archives-XLII-2-683-2018, 2018
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Short summary
Short summary
Flooding worsens due to climate change, with river dynamics being a key in local flood control. Predicting post-storm geomorphic changes is challenging. Using self-organizing maps and machine learning, this study forecasts post-storm alterations in stage–discharge relationships across 3101 US stream gages. The provided framework can aid in updating hazard assessments by identifying rivers prone to change, integrating channel adjustments into flood hazard assessment.
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Preprint under review for NHESS
Short summary
Short summary
This study comprehends and predicts the socioeconomic effects of floods in the High Mountain Asia (HMA) region. We proposed a machine-learning strategy for mapping flood damages. We predicted the Lifeyears Index (LYI), which quantifies the financial cost and loss of life caused by floods, using variables including climate, geomorphology, and population. The study's overall goal is to offer useful information on flood susceptibility and subsequent risk mapping in the HMA region.
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R. Angelini, E. Angelats, G. Luzi, F. Ribas, A. Masiero, and F. Mugnai
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 17–24, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-17-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-17-2023, 2023
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 51–56, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-51-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-51-2023, 2023
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 161–165, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-161-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-161-2023, 2023
E. Pellis, A. Masiero, I. Cortesi, G. Tucci, M. Betti, and P. Grussenmeyer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 379–386, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-379-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-379-2023, 2023
B. Suleymanoglu, C. Toth, A. Masiero, and A. Ladai
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-1-2023, 355–360, https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-355-2023, https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-355-2023, 2023
I. Cortesi, F. Mugnai, R. Angelini, and A. Masiero
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 117–122, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-117-2023, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-117-2023, 2023
F. Mugnai, A. Masiero, and B. Ciuffo
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-W2-2022, 23–28, https://doi.org/10.5194/isprs-annals-X-3-W2-2022-23-2022, https://doi.org/10.5194/isprs-annals-X-3-W2-2022-23-2022, 2022
A. Masiero, I. Cortesi, and G. Tucci
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W1-2022, 295–300, https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-295-2022, https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-295-2022, 2022
A. Masiero, C. Toth, J. Gabela, and G. Retscher
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 467–472, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-467-2022, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-467-2022, 2022
A. Masiero, P. Dabove, V. Di Pietra, M. Piragnolo, A. Vettore, A. Guarnieri, C. Toth, V. Gikas, H. Perakis, K.-W. Chiang, L. M. Ruotsalainen, S. Goel, and J. Gabela
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 839–844, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-839-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-839-2022, 2022
E. Pellis, A. Murtiyoso, A. Masiero, G. Tucci, M. Betti, and P. Grussenmeyer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 861–867, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-861-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-861-2022, 2022
I. Cortesi, A. Masiero, G. Tucci, and K. Topouzelis
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 855–861, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-855-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-855-2022, 2022
A. Masiero, A. Guarnieri, U. Coppa, and G. Tucci
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-2-W1-2022, 359–364, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-359-2022, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-359-2022, 2022
E. Pellis, A. Murtiyoso, A. Masiero, G. Tucci, M. Betti, and P. Grussenmeyer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-2-W1-2022, 429–434, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-429-2022, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-429-2022, 2022
Jonathan Rizzi, Ana M. Tarquis, Anne Gobin, Mikhail Semenov, Wenwu Zhao, and Paolo Tarolli
Nat. Hazards Earth Syst. Sci., 21, 3873–3877, https://doi.org/10.5194/nhess-21-3873-2021, https://doi.org/10.5194/nhess-21-3873-2021, 2021
Pengzhi Zhao, Daniel Joseph Fallu, Sara Cucchiaro, Paolo Tarolli, Clive Waddington, David Cockcroft, Lisa Snape, Andreas Lang, Sebastian Doetterl, Antony G. Brown, and Kristof Van Oost
Biogeosciences, 18, 6301–6312, https://doi.org/10.5194/bg-18-6301-2021, https://doi.org/10.5194/bg-18-6301-2021, 2021
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We investigate the factors controlling the soil organic carbon (SOC) stability and temperature sensitivity of abandoned prehistoric agricultural terrace soils. Results suggest that the burial of former topsoil due to terracing provided an SOC stabilization mechanism. Both the soil C : N ratio and SOC mineral protection regulate soil SOC temperature sensitivity. However, which mechanism predominantly controls SOC temperature sensitivity depends on the age of the buried terrace soils.
Mihai Ciprian Mărgărint, Mihai Niculiță, Giulia Roder, and Paolo Tarolli
Nat. Hazards Earth Syst. Sci., 21, 3251–3283, https://doi.org/10.5194/nhess-21-3251-2021, https://doi.org/10.5194/nhess-21-3251-2021, 2021
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Local stakeholders' knowledge plays a deciding role in emergencies, supporting rescue officers in natural hazard events; coordinating; and assisting, both physically and psychologically, the affected populations. Their risk perception was assessed using a questionnaire for an area in north-eastern Romania. The results show low preparedness and reveal substantial distinctions among stakeholders and different risks based on their cognitive and behavioral roles in their communities.
A. Masiero, A. Guarnieri, G. Tucci, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-M-1-2021, 435–440, https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-435-2021, https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-435-2021, 2021
E. Pellis, A. Masiero, G. Tucci, M. Betti, and P. Grussenmeyer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-M-1-2021, 539–546, https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-539-2021, https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-539-2021, 2021
I. Cortesi, A. Masiero, M. De Giglio, G. Tucci, and M. Dubbini
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2021, 9–14, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-9-2021, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-9-2021, 2021
M. P. Bouloukou, A. Masiero, A. Vettore, and V. Gikas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2021, 97–102, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-97-2021, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-97-2021, 2021
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. Masiero, C. Toth, J. Gabela, and G. Retscher
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2021, 221–227, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-221-2021, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-221-2021, 2021
Mariam Khanam, Giulia Sofia, Marika Koukoula, Rehenuma Lazin, Efthymios I. Nikolopoulos, Xinyi Shen, and Emmanouil N. Anagnostou
Nat. Hazards Earth Syst. Sci., 21, 587–605, https://doi.org/10.5194/nhess-21-587-2021, https://doi.org/10.5194/nhess-21-587-2021, 2021
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Compound extremes correspond to events with multiple concurrent or consecutive drivers, leading to substantial impacts such as infrastructure failure. In many risk assessment and design applications, however, multihazard scenario events are ignored. In this paper, we present a general framework to investigate current and future climate compound-event flood impact on coastal critical infrastructures such as power grid substations.
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
M. Corongiu, A. Masiero, and G. Tucci
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 219–225, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-219-2020, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-219-2020, 2020
A. Masiero, H. Perakis, J. Gabela, C. Toth, V. Gikas, G. Retscher, S. Goel, A. Kealy, Z. Koppányi, W. Błaszczak-Bak, Y. Li, and D. Grejner-Brzezinska
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 549–555, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-549-2020, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-549-2020, 2020
A. Masiero, A. Guarnieri, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W17, 187–193, https://doi.org/10.5194/isprs-archives-XLII-2-W17-187-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W17-187-2019, 2019
A. Masiero, F. Fissore, R. Antonello, A. Cenedese, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1695–1699, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1695-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1695-2019, 2019
S. Zahran, A. Masiero, M. M. Mostafa, A. M. Moussa, A. Vettore, and N. El-Sheimy
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 665–672, https://doi.org/10.5194/isprs-archives-XLII-2-W13-665-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-665-2019, 2019
A. Masiero and D. Costantino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 831–836, https://doi.org/10.5194/isprs-archives-XLII-2-W11-831-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-831-2019, 2019
A. Masiero, G. Tucci, A. Conti, L. Fiorini, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 837–842, https://doi.org/10.5194/isprs-archives-XLII-2-W11-837-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-837-2019, 2019
B. G. Marino, A. Masiero, F. Chiabrando, A. M. Lingua, F. Fissore, W. Błaszczak-Bak, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 809–813, https://doi.org/10.5194/isprs-archives-XLII-2-W11-809-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-809-2019, 2019
A. Masiero, F. Chiabrando, A. M. Lingua, B. G. Marino, F. Fissore, A. Guarnieri, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 473–478, https://doi.org/10.5194/isprs-archives-XLII-2-W9-473-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W9-473-2019, 2019
Daniele Giordan, Yuichi S. Hayakawa, Francesco Nex, and Paolo Tarolli
Nat. Hazards Earth Syst. Sci., 18, 3085–3087, https://doi.org/10.5194/nhess-18-3085-2018, https://doi.org/10.5194/nhess-18-3085-2018, 2018
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In the special issue
The use of remotely piloted aircraft systems (RPAS) in monitoring applications and management of natural hazardswe propose a collection of papers that provide a critical description of the state of the art in the use of RPAS for different scenarios. In particular, the sequence of papers can be considered an exhaustive representation of the state of the art of the methodologies and approaches applied to the study and management of natural hazards.
A. Masiero, F. Fissore, M. Piragnolo, A. Guarnieri, F. Pirotti, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 289–293, https://doi.org/10.5194/isprs-archives-XLII-1-289-2018, https://doi.org/10.5194/isprs-archives-XLII-1-289-2018, 2018
M. Sakr, A. Masiero, and N. El-Sheimy
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 379–385, https://doi.org/10.5194/isprs-archives-XLII-1-379-2018, https://doi.org/10.5194/isprs-archives-XLII-1-379-2018, 2018
S. Zahran, M. M. Mostafa, A. Masiero, A. M. Moussa, A. Vettore, and N. El-Sheimy
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 469–476, https://doi.org/10.5194/isprs-archives-XLII-1-469-2018, https://doi.org/10.5194/isprs-archives-XLII-1-469-2018, 2018
A. Masiero, F. Fissore, A. Guarnieri, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 683–690, https://doi.org/10.5194/isprs-archives-XLII-2-683-2018, https://doi.org/10.5194/isprs-archives-XLII-2-683-2018, 2018
Daniele Giordan, Yuichi Hayakawa, Francesco Nex, Fabio Remondino, and Paolo Tarolli
Nat. Hazards Earth Syst. Sci., 18, 1079–1096, https://doi.org/10.5194/nhess-18-1079-2018, https://doi.org/10.5194/nhess-18-1079-2018, 2018
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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.
A. Masiero
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 141–145, https://doi.org/10.5194/isprs-archives-XLII-2-W8-141-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W8-141-2017, 2017
A. Masiero, F. Fissore, A. Guarnieri, M. Piragnolo, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 147–153, https://doi.org/10.5194/isprs-archives-XLII-2-W8-147-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W8-147-2017, 2017
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
Giulia Sofia, John K. Hillier, and Susan J. Conway
Earth Surf. Dynam., 4, 721–725, https://doi.org/10.5194/esurf-4-721-2016, https://doi.org/10.5194/esurf-4-721-2016, 2016
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The interdisciplinarity of geomorphometry is its greatest strength and one of its major challenges. This special issue showcases exciting developments that are the building blocks for the next step-change in the field. In reading and compiling the contributions we hope that the scientific community will be inspired to seek out collaborations and share ideas across subject-boundaries, between technique-developers and users, enabling us as a community to gather knowledge from our digital landscape
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.
J. K. Hillier, G. Sofia, and S. J. Conway
Earth Surf. Dynam., 3, 587–598, https://doi.org/10.5194/esurf-3-587-2015, https://doi.org/10.5194/esurf-3-587-2015, 2015
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How good are measurements of shapes in the landscape? This is not well constrained. We suggest that "synthetic tests" using constructed digital landscapes called synthetic DEMs are a powerful and necessary tool to establish the reliability of these data (e.g. mapped sizes). Thus, the tests have a key, complementary role in determining if conceptual and physics-driven models of processes can be reconciled with morphological observations of reality. A typology of synthetic DEMs is proposed.
D. Penna, M. Borga, G. T. Aronica, G. Brigandì, and P. Tarolli
Hydrol. Earth Syst. Sci., 18, 2127–2139, https://doi.org/10.5194/hess-18-2127-2014, https://doi.org/10.5194/hess-18-2127-2014, 2014
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
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