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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIII-B3-2020
https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-293-2020
© 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-B3-2020-293-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
21 Aug 2020
| 21 Aug 2020
GROUND DEFORMATION MONITORING AT CONTINENTAL SCALE: THE EUROPEAN GROUND MOTION SERVICE
M. Crosetto
Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Geomatics Division, Av. Gauss, 7, E-08860 Castelldefels (Barcelona), Spain
L. Solari
Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Geomatics Division, Av. Gauss, 7, E-08860 Castelldefels (Barcelona), Spain
European Environment Agency, Kongens Nytorv 6, 1050 Copenhagen, Denmark
J. Balasis-Levinsen
Agency for Data Supply and Efficiency, Rentemestervej 8, 2400 Copenhagen, Denmark
N. Casagli
University of Firenze, Department of Earth Sciences, Via La Pira 4, 50121 Firenze, Italy
M. Frei
Bundesantalt für Geowissenschaften und Rohstoffe, Stilleweg 2, 30655 Hannover, Germany
A. Oyen
Ministerie van Infrastructuur en Waterstaat, Rijnstraat 8, 2515 XP Den Haag, The Netherlands
D. A. Moldestad
Norsk Romsenter, Drammensveien 165, 0277 Oslo, Norway
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Short summary
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Short summary
We improve the warning system (WS) used to forecast landslides in Emilia Romagna (Italy) by using averaged soil moisture estimates. We tested two approaches. The first (based on a soil moisture threshold under which the original WS is not used) is very simple, reduces false alarms and can be easily applied elsewhere. The second (integrating rainfall and soil moisture thresholds in the WS) is more complicated but reduces both false alarms and missed alarms.
Emanuele Intrieri, Federica Bardi, Riccardo Fanti, Giovanni Gigli, Francesco Fidolini, Nicola Casagli, Sandra Costanzo, Antonio Raffo, Giuseppe Di Massa, Giovanna Capparelli, and Pasquale Versace
Nat. Hazards Earth Syst. Sci., 17, 1713–1723, https://doi.org/10.5194/nhess-17-1713-2017, https://doi.org/10.5194/nhess-17-1713-2017, 2017
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Landslides are a threat not only to people but also to important infrastructure, like highways. Nowadays there are several monitoring systems that are able to detect slope displacements in order to give prompt alarms. On the other hand, such instruments produce a huge amount of information, which is often not totally used and which can also represent an issue for data storage and transmission. In this paper we explain how we dealt with the large quantity of data provided by one of these tools.
Q. Huang, M. Crosetto, O. Monserrat, and B. Crippa
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 457–463, https://doi.org/10.5194/isprs-annals-IV-2-W4-457-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-457-2017, 2017
M. Crosetto, O. Monserrat, G. Luzi, N. Devanthéry, M. Cuevas-González, and A. Barra
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 593–596, https://doi.org/10.5194/isprs-archives-XLII-2-W7-593-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-593-2017, 2017
M. Crosetto, O. Monserrat, N. Devanthéry, M. Cuevas-González, A. Barra, and B. Crippa
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 597–600, https://doi.org/10.5194/isprs-archives-XLII-2-W7-597-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-597-2017, 2017
Federica Ferrigno, Giovanni Gigli, Riccardo Fanti, Emanuele Intrieri, and Nicola Casagli
Nat. Hazards Earth Syst. Sci., 17, 845–860, https://doi.org/10.5194/nhess-17-845-2017, https://doi.org/10.5194/nhess-17-845-2017, 2017
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This paper represents one of the main outcomes of a 3-year PhD program at the Earth Sciences Department of the University of Firenze (Centre of Competence of the Italian Civil Protection for geohazards). The main objectives of this paper were to investigate the landslide kinematics through the monitoring activity using GB-InSAR technology and to validate the stabilization works effectiveness using the coupled action of the GB-InSAR and the observational method (OM).
Guglielmo Rossi, Luca Tanteri, Veronica Tofani, Pietro Vannocci, Sandro Moretti, and Nicola Casagli
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2017-46, https://doi.org/10.5194/nhess-2017-46, 2017
Preprint retracted
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The Department of Earth Sciences of Florence (DST) has developed a new type of drone chassis that has been equipped with an optical camera to map landslides. The images acquired during the aerial drone surveys allowed to obtain a continuous 3D surface model of the studied area using a photogrammetric approach.The drone survey has proven to be an easier and more cost- and time-effective approach with respect to other techniques to mpa landslides.
M. Crosetto, O. Monserrat, N. Devanthéry, M. Cuevas-González, A. Barra, and B. Crippa
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 835–839, https://doi.org/10.5194/isprs-archives-XLI-B7-835-2016, https://doi.org/10.5194/isprs-archives-XLI-B7-835-2016, 2016
M. Crosetto, N. Devanthéry, M. Cuevas-González, O. Monserrat, and B. Crippa
Proc. IAHS, 372, 311–314, https://doi.org/10.5194/piahs-372-311-2015, https://doi.org/10.5194/piahs-372-311-2015, 2015
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Persistent Scatterer Interferometry (PSI) is a remote sensing technique used to monitor land deformation from interferometric SAR images. The main products that can be derived using the PSI technique are the deformation maps and the time series of deformation. In this paper, an approach to apply the PSI technique to a stack of Sentinel-1 images is described. Sentinel-1 deformation maps and time series obtained over the metropolitan area of Mexico DF are discussed.
D. Lagomarsino, S. Segoni, A. Rosi, G. Rossi, A. Battistini, F. Catani, and N. Casagli
Nat. Hazards Earth Syst. Sci., 15, 2413–2423, https://doi.org/10.5194/nhess-15-2413-2015, https://doi.org/10.5194/nhess-15-2413-2015, 2015
S. Segoni, A. Battistini, G. Rossi, A. Rosi, D. Lagomarsino, F. Catani, S. Moretti, and N. Casagli
Nat. Hazards Earth Syst. Sci., 15, 853–861, https://doi.org/10.5194/nhess-15-853-2015, https://doi.org/10.5194/nhess-15-853-2015, 2015
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We monitor and forecast (with lead times up to 48h) regional-scale landslide hazard with an early warning system (EWS) implemented on a user-friendly WebGIS interface.
The EWS detects the most critical rainfall conditions using a mosaic of 25 site-specific thresholds. Moreover, when the rainfall paths recorded by the instruments are compared with the thresholds, the thresholds are shifted in the time axis and adjusted to all possible starting times until the most hazardous scenario is found.
S. Segoni, A. Rosi, G. Rossi, F. Catani, and N. Casagli
Nat. Hazards Earth Syst. Sci., 14, 2637–2648, https://doi.org/10.5194/nhess-14-2637-2014, https://doi.org/10.5194/nhess-14-2637-2014, 2014
O. Monserrat, J. Moya, G. Luzi, M. Crosetto, J. A. Gili, and J. Corominas
Nat. Hazards Earth Syst. Sci., 13, 1873–1887, https://doi.org/10.5194/nhess-13-1873-2013, https://doi.org/10.5194/nhess-13-1873-2013, 2013
M. Crosetto, J. A. Gili, O. Monserrat, M. Cuevas-González, J. Corominas, and D. Serral
Nat. Hazards Earth Syst. Sci., 13, 923–933, https://doi.org/10.5194/nhess-13-923-2013, https://doi.org/10.5194/nhess-13-923-2013, 2013
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