This page has only limited features, please log in for full access.
Instituto Geológico y Minero de España.Urbanización Alcázar del Genil. Edificio Zulema, bajos. 18006 Granada (Spain)
An example of the combined use of UAV photogrammetry and rockfall numerical simulation is described. A case of fragmental rockfall occurred on 17 November 2018 in Cárcavos, a site located in the Spanish municipality of Ayna (Albacete). The event caused a great social alarm as some infrastructure was affected. By using Unmanned Aerial Vehicle (UAV) photogrammetry, a high-resolution 3D model has been generated from point cloud data, and distribution and size of the fragmented rocks (more than 600 boulders) determined. The analysis has been performed through numerical simulations to: (1) reproduce the paths followed by the real blocks; and (2) estimate the speed and energy of the blocks, together with their heights, impacts and stopping points. Accordingly, source areas have been identified, including the potential source areas and unstable blocks on the slope. In addition, the exposed elements at risk (buildings, facilities, infrastructures, etc.) have been identified, and the effectiveness of mitigation measures against future events evaluated.
Ilenia G. Gallo; Mónica Martínez-Corbella; Roberto Sarro; Giulio Iovine; Juan López-Vinielles; Mario Hérnandez; Gaetano Robustelli; Rosa María Mateos; Juan Carlos García-Davalillo. An Integration of UAV-Based Photogrammetry and 3D Modelling for Rockfall Hazard Assessment: The Cárcavos Case in 2018 (Spain). Remote Sensing 2021, 13, 3450 .
AMA StyleIlenia G. Gallo, Mónica Martínez-Corbella, Roberto Sarro, Giulio Iovine, Juan López-Vinielles, Mario Hérnandez, Gaetano Robustelli, Rosa María Mateos, Juan Carlos García-Davalillo. An Integration of UAV-Based Photogrammetry and 3D Modelling for Rockfall Hazard Assessment: The Cárcavos Case in 2018 (Spain). Remote Sensing. 2021; 13 (17):3450.
Chicago/Turabian StyleIlenia G. Gallo; Mónica Martínez-Corbella; Roberto Sarro; Giulio Iovine; Juan López-Vinielles; Mario Hérnandez; Gaetano Robustelli; Rosa María Mateos; Juan Carlos García-Davalillo. 2021. "An Integration of UAV-Based Photogrammetry and 3D Modelling for Rockfall Hazard Assessment: The Cárcavos Case in 2018 (Spain)." Remote Sensing 13, no. 17: 3450.
Landslide inventories provide the knowledge basis for many geomorphological applications and also planning and emergency management. Detailed landslide inventories should also be prepared where pre-existing inventories are available, as knowledge updates. In this paper, we present a new geomorphological landslide inventory for an area of the High Agri Valley, Southern Italian Apennines. The map was prepared through systematic interpretation of historical aerial photographs testing extensive use of anaglyph glasses in StereoPhoto Maker freeware. A total of 2124 landslides were classified based on the type of movement, estimated depth, estimated relative age and three levels of uncertainty, providing landslide attributes and map constraints useful for land planning and hazard studies. The map also documents the relationships between landslides and fluvial landforms of different generations, recording important information to investigate the geomorphological evolution of the area further. We expect that landslide mapping in similar environments will benefit from the workflow here presented.
F. Bucci; M. Santangelo; F. Fiorucci; F. Ardizzone; D. Giordan; M. Cignetti; D. Notti; P. Allasia; D. Godone; D. Lagomarsino; A. Pozzoli; E. Norelli; M. Cardinali. Geomorphologic landslide inventory by air photo interpretation of the High Agri Valley (Southern Italy). Journal of Maps 2021, 17, 376 -388.
AMA StyleF. Bucci, M. Santangelo, F. Fiorucci, F. Ardizzone, D. Giordan, M. Cignetti, D. Notti, P. Allasia, D. Godone, D. Lagomarsino, A. Pozzoli, E. Norelli, M. Cardinali. Geomorphologic landslide inventory by air photo interpretation of the High Agri Valley (Southern Italy). Journal of Maps. 2021; 17 (2):376-388.
Chicago/Turabian StyleF. Bucci; M. Santangelo; F. Fiorucci; F. Ardizzone; D. Giordan; M. Cignetti; D. Notti; P. Allasia; D. Godone; D. Lagomarsino; A. Pozzoli; E. Norelli; M. Cardinali. 2021. "Geomorphologic landslide inventory by air photo interpretation of the High Agri Valley (Southern Italy)." Journal of Maps 17, no. 2: 376-388.
The use of a Remotely Piloted Aircraft System (RPAS) for the characterization and monitoring of landslides has been widely improved in the last decade. In particular, the use of this system is particularly effective for the study of areas prone to geohazards. Zones affected by landslides, such as rock slides and debris flows, are often quite critical in terms of accessibility due to unstable blocs that can strongly limit the direct access to the studied area. In this paper, we present the case study of Ponte Formazza in NW Italian Alps. In June 2019, a massive and complex debris flow re-mobilized about 300,000 m3 of a rockslide deposit that occurred in 2009. In this particular environment, we tested traditional, direct and mixed photogrammetric approaches using various configurations of Ground Control Points (GCPs) of the photogrammetric block and by calculating the relative errors. The minimum configuration of GCPs was established to reduce in situ measurements without degrading the accuracy of the cartographic products. The images of three RPAS campaigns (2017, 2018 and 2019), processed with a Structure from Motion (SfM) technique, allowed us to obtain very high-resolution orthophoto and digital surface models (DSMs) before and after the 2019 event. A few GCPs, geolocated with a Global Navigation Satellite System (GNSS), improved the orthophoto and DSM quality (Root Mean Squared Error RMSE 5 cm) even in the areas far from the drone deployment. The availability of high-resolution models has been fundamental for the identification of the volume changes. Furthermore, the 3D view supported and completed the geomorphological mapping of affected areas, particularly in the areas where the field survey is dangerous. The use of ancillary meteorological data and Sentinel-2 satellite images allows for a better definition of the kinematics and the predisposal and triggering factors of the 2019 debris flow.
Davide Notti; Daniele Giordan; Alberto Cina; Ambrogio Manzino; Paolo Maschio; Iosif Bendea. Debris Flow and Rockslide Analysis with Advanced Photogrammetry Techniques Based on High-Resolution RPAS Data. Ponte Formazza Case Study (NW Alps). Remote Sensing 2021, 13, 1797 .
AMA StyleDavide Notti, Daniele Giordan, Alberto Cina, Ambrogio Manzino, Paolo Maschio, Iosif Bendea. Debris Flow and Rockslide Analysis with Advanced Photogrammetry Techniques Based on High-Resolution RPAS Data. Ponte Formazza Case Study (NW Alps). Remote Sensing. 2021; 13 (9):1797.
Chicago/Turabian StyleDavide Notti; Daniele Giordan; Alberto Cina; Ambrogio Manzino; Paolo Maschio; Iosif Bendea. 2021. "Debris Flow and Rockslide Analysis with Advanced Photogrammetry Techniques Based on High-Resolution RPAS Data. Ponte Formazza Case Study (NW Alps)." Remote Sensing 13, no. 9: 1797.
Understanding processes and conditions that lead to rockfalls during and after a wildfire in different geological contexts is crucial since this phenomenon is one of the major hazards in mountainous regions across Europe. Spain is one of the European countries with the highest rate of wildfires, and rockfalls cause high economic and social impact, with many fatalities every year. The increase of rockfalls during and after wildfires is connected with the merging of different factors, not only in the detached area but also in the propagation and potentially affected area. When wildfire occurred, many actions take place: changes in the mechanical conditions of the rocks, the loss of protective capacity from vegetation, the effect induced by firefighting activities and/or the impact by the high temperatures in the adopted protective measures. After the wildfire, there is an increase in frequency and intensity of rockfalls in the burned area, causing a major impact of rockfalls on not only road networks and built-up areas but also people living. Additionally, the removal of vegetation by wildfires causes an increase in the risk perception, related not only to detached blocks but also to the general appearance of the rock mass. In this review, the main factors that influence the occurrence of rockfalls after a wildfire are analyzed, and three actual case studies in Spain are presented to support the variety of conclusions obtained.
Roberto Sarro; Ignacio Pérez-Rey; Roberto Tomás; Leandro Alejano; Luis Hernández-Gutiérrez; Rosa Mateos. Effects of Wildfire on Rockfall Occurrence: A Review through Actual Cases in Spain. Applied Sciences 2021, 11, 2545 .
AMA StyleRoberto Sarro, Ignacio Pérez-Rey, Roberto Tomás, Leandro Alejano, Luis Hernández-Gutiérrez, Rosa Mateos. Effects of Wildfire on Rockfall Occurrence: A Review through Actual Cases in Spain. Applied Sciences. 2021; 11 (6):2545.
Chicago/Turabian StyleRoberto Sarro; Ignacio Pérez-Rey; Roberto Tomás; Leandro Alejano; Luis Hernández-Gutiérrez; Rosa Mateos. 2021. "Effects of Wildfire on Rockfall Occurrence: A Review through Actual Cases in Spain." Applied Sciences 11, no. 6: 2545.
In landslide monitoring, the attention is mainly focused on rapidly evolving phenomena. However, slow and very slow landslides are equally significant as they often involve settlements and infrastructures. Additionally, they are characterized by remarkable extension and depth. Due to their low displacement rate, often they are underestimated as impacting events; but in a longer timespan, their continuous and slow activity may lead to damages to buildings and roads thus worsening the living conditions of the involved area. In order to assure a peaceful coexistence between phenomena and inhabitants, a multi-source monitoring network is recommended, by integrating surface data with subsoil ones in order to better understand the whole and real kinematic. Moreover, the data acquisition rate should be high enough to detect early any increases in displacements rate. Surface monitoring approaches are extremely wide (GNSS, remote sensing, InSAR…); on the contrary subsoil measurement systems, are few and limited to in-place inclinometers. Concerning them, the Geohazard Monitoring Group (IRPI-CNR) has developed and manufactured a robotic measuring system for the acquisition of deep-seated ground deformations and, particularly, deep horizontal displacements. The instrumentation combines the advantages of the traditional measurement technique (double readings 0/180˚) with a robotized approach improving the results in terms of revisit time, repeatability and accuracy. The robotized device also called “Automated Inclinometer System” (AIS) allows the automatic check of all the length of the borehole (up to 120m tube length) with just one inclinometer probe. The traditional cable (including probe signal and power supply) is replaced with a thin polyethylene cable (φ 2mm) for sustaining and moving the probe up/down into the standard inclinometer borehole. AIS is completely automatized, but can be also controlled by a remote web interface and, with the same mean, transmits measurement results and system diagnostic messages, such as alerts, warnings, etc. The described system is, currently and extensively, employed in landslide monitoring networks in European mountain ranges obtaining interesting results. In fact, thanks to the described features it is able to rapidly define the deep and surface kinematics of the observed phenomena and, consequently, evaluate the displacements accelerations. Furthermore, due to its high-frequency measurement, it is possible to find a relationship between rainfalls/snow melting and piezometric water levels measured by nearby stations. AIS represents a trustworthy option to realize a more complete integrated network for landslide interpretation and monitoring.
Danilo Godone; Paolo Allasia; Diego Guenzi; Davide Notti; Marco Baldo. Monitoring of slow-moving landslides. The importance of integration between surface and depth measurements. 2021, 1 .
AMA StyleDanilo Godone, Paolo Allasia, Diego Guenzi, Davide Notti, Marco Baldo. Monitoring of slow-moving landslides. The importance of integration between surface and depth measurements. . 2021; ():1.
Chicago/Turabian StyleDanilo Godone; Paolo Allasia; Diego Guenzi; Davide Notti; Marco Baldo. 2021. "Monitoring of slow-moving landslides. The importance of integration between surface and depth measurements." , no. : 1.
Modelling rockfall phenomena is complex and requires various inputs, including an accurate location of the source areas. Source areas are controlled by geomorphological, geological, or other geo-environmental factors and may largely influence the results of the modelling. In the Canary Islands, rockfalls are extremely common and pose a major threat to society, costing lives, disrupting infrastructure, and destroying livelihoods. In 2011, the volcanic event on the island of El Hierro triggered numerous rockfalls that affected strategic infrastructures, with a substantial impact on the local population. During the emergency, the efforts performed to map the source areas and to model the rockfalls in the considerably steep landscape characterising the island were not trivial. To better identify the rockfall source areas, we propose a probabilistic modelling framework that applies a combination of multiple statistical models using the source area locations mapped in the field as the dependent variable and a set of thematic data as independent variables. The models use as input morphometric parameters derived from the Digital Elevation Model and lithological data as an expression of the mechanical behaviour of the rocks. The analysis of different training and validation scenarios allowed us to test the model sensitivity to the input data, select the optimal model training configuration, and evaluate the model applicability outside the training areas. The final map obtained from the model for the entire island of El Hierro provides the probability of a given location being a potential source area and can be used as the input for rockfall runout simulation modelling.
Mauro Rossi; Roberto Sarro; Paola Reichenbach; Rosa María Mateos. Probabilistic identification of rockfall source areas at regional scale in El Hierro (Canary Islands, Spain). Geomorphology 2021, 381, 107661 .
AMA StyleMauro Rossi, Roberto Sarro, Paola Reichenbach, Rosa María Mateos. Probabilistic identification of rockfall source areas at regional scale in El Hierro (Canary Islands, Spain). Geomorphology. 2021; 381 ():107661.
Chicago/Turabian StyleMauro Rossi; Roberto Sarro; Paola Reichenbach; Rosa María Mateos. 2021. "Probabilistic identification of rockfall source areas at regional scale in El Hierro (Canary Islands, Spain)." Geomorphology 381, no. : 107661.
The Alto Guadalentín Basin (Spain) is widely recognized as an area of major anthropogenic land subsidence due to groundwater extraction. This paper presents a numerical methodology to quantify the severe subsidence of this basin over history. First, a 3D groundwater model is proposed to reproduce groundwater evolution in the regional Alto Guadalentín aquifer system since 1960, leading to an average piezometric level drop of 150 m. Secondly, a generalized plasticity state parameter-based model is calibrated to reproduce the mechanical behavior, observed in oedometer laboratory tests, of compressible materials extracted from a 300-m drilled borehole located in the area of maximum subsidence. The strength of this constitutive model is that a single set of material parameters can be used to reproduce the mechanical behavior of material located at different depths, hence having different confining pressures and void ratio states. Afterwards, subsidence is assessed through a partially saturated 1D vertical finite element model, solving Biot equations that reproduce the slow vertical drainage and vertical consolidation processes, taking into account the calibrated constitutive model and prescribing the previously computed groundwater evolution of the aquifer. Finally, the subsidence model is adjusted with different displacement data available from 1992: datasets acquired by ERS, ENVISAT, Cosmo-SkyMed satellites and the global positioning system GNSS. The proposed calibrated subsidence model reproduces the 3.1 m subsidence monitored in the period 1992–2018, and quantifies historical subsidence (since 1960) in the Alto Guadalentín Basin area at around 5.8 m. Moreover, the model predicts subsidence of up to 7.3 m by 2100 for an assumed constant hydraulic head from 2012 onward.
J.A. Fernández-Merodo; P. Ezquerro; D. Manzanal; M. Béjar-Pizarro; R.M. Mateos; C. Guardiola-Albert; J.C. García-Davalillo; J. López-Vinielles; R. Sarro; G. Bru; J. Mulas; R. Aragón; C. Reyes-Carmona; P. Mira; M. Pastor; G. Herrera. Modeling historical subsidence due to groundwater withdrawal in the Alto Guadalentín aquifer-system (Spain). Engineering Geology 2021, 283, 105998 .
AMA StyleJ.A. Fernández-Merodo, P. Ezquerro, D. Manzanal, M. Béjar-Pizarro, R.M. Mateos, C. Guardiola-Albert, J.C. García-Davalillo, J. López-Vinielles, R. Sarro, G. Bru, J. Mulas, R. Aragón, C. Reyes-Carmona, P. Mira, M. Pastor, G. Herrera. Modeling historical subsidence due to groundwater withdrawal in the Alto Guadalentín aquifer-system (Spain). Engineering Geology. 2021; 283 ():105998.
Chicago/Turabian StyleJ.A. Fernández-Merodo; P. Ezquerro; D. Manzanal; M. Béjar-Pizarro; R.M. Mateos; C. Guardiola-Albert; J.C. García-Davalillo; J. López-Vinielles; R. Sarro; G. Bru; J. Mulas; R. Aragón; C. Reyes-Carmona; P. Mira; M. Pastor; G. Herrera. 2021. "Modeling historical subsidence due to groundwater withdrawal in the Alto Guadalentín aquifer-system (Spain)." Engineering Geology 283, no. : 105998.
The island of Gran Canaria (Canary Islands, Spain) is characterized by a large variability of volcanic rocks reflecting its volcanic evolution. The geological map provided by Geological Survey of Spain at 1:25.000 scale shows more than 109 different lithologies and it is too complex for environmental and engineering purposes. This work presents a simplified geotechnical map with a small number of classes grouping up units with similar geotechnical behaviours. The lithologies were grouped using about 350 rock samples, collected in the seven major islands of the Archipelago. The geotechnical map was used to model rockfall hazard in the entire island of Gran Canaria, where rockfalls are an important threat. The rockfall map was validated with 128 rockfall events along the GC-200 road, located in the NW sector of Gran Canaria. About 96% of the events occurred along sections of the road where the number of expected trajectories is high or moderate.
Roberto Sarro; Rosa María Mateos; Paola Reichenbach; Héctor Aguilera; Adrián Riquelme; Luis Enrique Hernández-Gutiérrez; Alejandro Martín; Anna Barra; Lorenzo Solari; Oriol Monserrat; Massimiliano Alvioli; José Antonio Fernández-Merodo; Juan López-Vinielles; Gerardo Herrera. Geotechnics for rockfall assessment in the volcanic island of Gran Canaria (Canary Islands, Spain). Journal of Maps 2020, 16, 605 -613.
AMA StyleRoberto Sarro, Rosa María Mateos, Paola Reichenbach, Héctor Aguilera, Adrián Riquelme, Luis Enrique Hernández-Gutiérrez, Alejandro Martín, Anna Barra, Lorenzo Solari, Oriol Monserrat, Massimiliano Alvioli, José Antonio Fernández-Merodo, Juan López-Vinielles, Gerardo Herrera. Geotechnics for rockfall assessment in the volcanic island of Gran Canaria (Canary Islands, Spain). Journal of Maps. 2020; 16 (2):605-613.
Chicago/Turabian StyleRoberto Sarro; Rosa María Mateos; Paola Reichenbach; Héctor Aguilera; Adrián Riquelme; Luis Enrique Hernández-Gutiérrez; Alejandro Martín; Anna Barra; Lorenzo Solari; Oriol Monserrat; Massimiliano Alvioli; José Antonio Fernández-Merodo; Juan López-Vinielles; Gerardo Herrera. 2020. "Geotechnics for rockfall assessment in the volcanic island of Gran Canaria (Canary Islands, Spain)." Journal of Maps 16, no. 2: 605-613.
The spatial distribution of snow thickness in extensive alpine regions can be estimated with high spatial resolution from LIDAR data capture. However, due to the significant economic cost of these activities, its application is limited, especially to cover large areas. Traditionally, snow thickness has been estimated by applying interpolation methods and/or hydrological models that approximate the distribution of snow from fieldwork data. In some places there is permanent infrastructure that facilitates the collection of data. In Spain, within the framework of the national snow depth monitoring program (ERHIN, initiated in 1981), an infrastructure consisting of a network of poles distributed over various mountain ranges was generated to obtain measurements by direct observation from helicopter flights (1-3 per year). This monitoring activity has been drastically reduced and even cancelled in some mountain ranges in recent years as a result of budget cuts. In order to maintain the observation of snow, we propose a novel approach to involve groups of volunteers to take advantage of the existing (or optimally increased) infrastructure that are underutilized or in disuse, to gather photos of poles as a means of monitoring snow thickness. The proposal is being applied in the Sierra Nevada (Southern Spain), and may be extended in the future across the whole Spain. The tasks performed to achieve the objective are: 1) Inventory of infrastructures and potential volunteer: The 23 poles installed by the ERHIN program in Sierra Nevada are being marked to facilitate their identification in photos sent in by volunteers. An inventory of potential volunteer and user groups has been compiled; 2) Optimum design of snowpole network for monitoring snow depth: The aim is to identify the optimal location of new poles in order to minimize uncertainty in estimates of snow depth. To solve this problem, we have employed a regression model that estimates the spatial distribution of snow depth and its uncertainty 3) Generation of tools to supply and display information: Mobile application and web platform. For the success of the activity, we need user-friendly applications that include relevant local information (e.g., location of the poles) and an adequate link to the project web for supplying and storing information; 4) Maximization of participation. Program of incentives. We have involved key institutions, such as Sierra Nevada Natural Park and Andalusian Mountaineering Federation (FAM), which predict a high participation rate by its members. To encourage collaboration, participation by volunteers will be published, including ranking and honorary awards to the most active. As stated by the Andalusian Federation of Mountaineers, this ‘competition’ will be an additional incentive to increase participation by mountaineers. The task will have a significant impact with a low economic cost; 5) Dissemination and communication of relevant: It includes the design and distribution of posters and brochures to the main potential groups of volunteers.
This research has been partially supported by the SIGLO-AN project (RTI2018-101397-B-I00) from the Spanish Ministry of Science, Innovation and Universities (Programa Estatal de I+D+I orientada a los Retos de la Sociedad).
David Pulido-Velazquez; Antonio-Juan Collados-Lara; Eulogio Pardo-Igúzquiza; Pedro Ossorio; Leticia Baena-Ruiz; Juan Ignacio Lopez-Moreno; Crisanto Martín-Montañés; Antonio Navarro; Rosa Maria Mateos. Designing and launching a citizen initiative to monitor snow depth in Sierra Nevada (South Spain). 2020, 1 .
AMA StyleDavid Pulido-Velazquez, Antonio-Juan Collados-Lara, Eulogio Pardo-Igúzquiza, Pedro Ossorio, Leticia Baena-Ruiz, Juan Ignacio Lopez-Moreno, Crisanto Martín-Montañés, Antonio Navarro, Rosa Maria Mateos. Designing and launching a citizen initiative to monitor snow depth in Sierra Nevada (South Spain). . 2020; ():1.
Chicago/Turabian StyleDavid Pulido-Velazquez; Antonio-Juan Collados-Lara; Eulogio Pardo-Igúzquiza; Pedro Ossorio; Leticia Baena-Ruiz; Juan Ignacio Lopez-Moreno; Crisanto Martín-Montañés; Antonio Navarro; Rosa Maria Mateos. 2020. "Designing and launching a citizen initiative to monitor snow depth in Sierra Nevada (South Spain)." , no. : 1.
Landslides in reservoir contexts are a well-recognised hazard that may lead to dangerous situations regarding infrastructures and people’s safety. Satellite-based radar interferometry is proving to be a reliable method to monitor the activity of landslides in such contexts. Here, we present a DInSAR (Differential Interferometric Synthetic Aperture Radar) analysis of Sentinel-1 images that exemplifies the usefulness of the technique to recognize and monitor landslides in the Rules Reservoir (Southern Spain). The integration of DInSAR results with a comprehensive geomorphological study allowed us to understand the typology, evolution and triggering factors of three active landslides: Lorenzo-1, Rules Viaduct and El Arrecife. We could distinguish between rotational and translational landslides and, thus, we evaluated the potential hazards related to these typologies, i.e., retrogression (Lorenzo-1 and Rules Viaduct landslides) or catastrophic slope failure (El Arrecife Landslide), respectively. We also observed how changes in the water level of the reservoir influence the landslide’s behaviour. Additionally, we were able to monitor the stability of the Rules Dam as well as detect the deformation of a highway viaduct that crosses a branch of the reservoir. Overall, we consider that other techniques must be applied to continue monitoring the movements, especially in the El Arrecife Landslide, in order to avoid future structural damages and fatalities.
Cristina Reyes-Carmona; Anna Barra; Jorge Galve; Oriol Monserrat; José Pérez-Peña; Rosa Mateos; Davide Notti; Patricia Ruano; Agustín Millares; Juan López-Vinielles; José Azañón. Sentinel-1 DInSAR for Monitoring Active Landslides in Critical Infrastructures: The Case of the Rules Reservoir (Southern Spain). Remote Sensing 2020, 12, 809 .
AMA StyleCristina Reyes-Carmona, Anna Barra, Jorge Galve, Oriol Monserrat, José Pérez-Peña, Rosa Mateos, Davide Notti, Patricia Ruano, Agustín Millares, Juan López-Vinielles, José Azañón. Sentinel-1 DInSAR for Monitoring Active Landslides in Critical Infrastructures: The Case of the Rules Reservoir (Southern Spain). Remote Sensing. 2020; 12 (5):809.
Chicago/Turabian StyleCristina Reyes-Carmona; Anna Barra; Jorge Galve; Oriol Monserrat; José Pérez-Peña; Rosa Mateos; Davide Notti; Patricia Ruano; Agustín Millares; Juan López-Vinielles; José Azañón. 2020. "Sentinel-1 DInSAR for Monitoring Active Landslides in Critical Infrastructures: The Case of the Rules Reservoir (Southern Spain)." Remote Sensing 12, no. 5: 809.
In this work, we developed a new method to assess the impact of climate change (CC) scenarios on land subsidence related to groundwater level depletion in detrital aquifers. The main goal of this work was to propose a parsimonious approach that could be applied for any case study. We also evaluated the methodology in a case study, the Vega de Granada aquifer (southern Spain). Historical subsidence rates were estimated using remote sensing techniques (differential interferometric synthetic aperture radar, DInSAR). Local CC scenarios were generated by applying a bias correction approach. An equifeasible ensemble of the generated projections from different climatic models was also proposed. A simple water balance approach was applied to assess CC impacts on lumped global drawdowns due to future potential rainfall recharge and pumping. CC impacts were propagated to drawdowns within piezometers by applying the global delta change observed with the lumped assessment. Regression models were employed to estimate the impacts of these drawdowns in terms of land subsidence, as well as to analyze the influence of the fine-grained material in the aquifer. The results showed that a more linear behavior was observed for the cases with lower percentage of fine-grained material. The mean increase of the maximum subsidence rates in the considered wells for the future horizon (2016–2045) and the Representative Concentration Pathway (RCP) scenario 8.5 was 54%. The main advantage of the proposed method is its applicability in cases with limited information. It is also appropriate for the study of wide areas to identify potential hot spots where more exhaustive analyses should be performed. The method will allow sustainable adaptation strategies in vulnerable areas during drought-critical periods to be assessed.
Antonio-Juan Collados-Lara; David Pulido-Velazquez; Rosa María Mateos; Pablo Ezquerro. Potential Impacts of Future Climate Change Scenarios on Ground Subsidence. Water 2020, 12, 219 .
AMA StyleAntonio-Juan Collados-Lara, David Pulido-Velazquez, Rosa María Mateos, Pablo Ezquerro. Potential Impacts of Future Climate Change Scenarios on Ground Subsidence. Water. 2020; 12 (1):219.
Chicago/Turabian StyleAntonio-Juan Collados-Lara; David Pulido-Velazquez; Rosa María Mateos; Pablo Ezquerro. 2020. "Potential Impacts of Future Climate Change Scenarios on Ground Subsidence." Water 12, no. 1: 219.
In recent years, the development of low-cost GNSS sensors allowed monitoring in a continuous way movement related to natural processes like landslides with increasing accuracy and limited efforts. In this work, we present the first results of an experimental low-cost GNSS continuous monitoring applied to an unstable slope affecting the Madonna del Sasso Sanctuary (NW Italy). The courtyard of Sanctuary is built on two unstable blocks delimited by a high cliff. Previous studies and non-continuous monitoring showed that blocks suffer a seasonal cycle of thermal expansion and a long-term trend to downslope a few millimeters (2/3) per year. The presence of a continuous monitoring solution could be an essential help to better understand the kinematics of unstable slope. Continuous monitoring could help to forecast a possible paroxysm phase that could end with a failure of the unstable area. The first year of experimental measurements shows a millimetric accuracy of low-cost GNSS, and the long-term trend is in agreement with other monitoring data. We also propose a methodological approach that considers the use of semi-automatized procedures for the identification of anomalous trends and a risk communication strategy. Pro and cons of the proposed methodology are also discussed.
Davide Notti; Alberto Cina; Ambrogio Manzino; Alessio Colombo; Iosif Horea Bendea; Paolo Mollo; Daniele Giordan. Low-Cost GNSS Solution for Continuous Monitoring of Slope Instabilities Applied to Madonna Del Sasso Sanctuary (NW Italy). Sensors 2020, 20, 289 .
AMA StyleDavide Notti, Alberto Cina, Ambrogio Manzino, Alessio Colombo, Iosif Horea Bendea, Paolo Mollo, Daniele Giordan. Low-Cost GNSS Solution for Continuous Monitoring of Slope Instabilities Applied to Madonna Del Sasso Sanctuary (NW Italy). Sensors. 2020; 20 (1):289.
Chicago/Turabian StyleDavide Notti; Alberto Cina; Ambrogio Manzino; Alessio Colombo; Iosif Horea Bendea; Paolo Mollo; Daniele Giordan. 2020. "Low-Cost GNSS Solution for Continuous Monitoring of Slope Instabilities Applied to Madonna Del Sasso Sanctuary (NW Italy)." Sensors 20, no. 1: 289.
This work refers to an interdisciplinary study on the archaeological site of Pyrgi, an Etruscan harbour still under excavation, located on the Lazio’s coast in Santa Severa, in the province of Rome. The objective of the research is to assess the main cause of the floods and the time the water stays in the site to determine if the floods are periodic phenomena over time or random events for guarantee a correct conservation of the site . The study is based on the combined use of geomatic technologies, meteorological and climatic models, and hydrogeological knowledge.
Virginia Coletta; Paolo Allasia; Alessandra Bonazza; Alessandro Ciarravano; Stefano Federico; Davide Notti; Fernanda Prestileo; Rosa Claudia Torcasio; Mattia Giovanni Crespi; Stefano Dietrich. Pyrgi: analysis of possible climatic effects on a coastal archaeological site. Proceedings e report 2020, 17 -27.
AMA StyleVirginia Coletta, Paolo Allasia, Alessandra Bonazza, Alessandro Ciarravano, Stefano Federico, Davide Notti, Fernanda Prestileo, Rosa Claudia Torcasio, Mattia Giovanni Crespi, Stefano Dietrich. Pyrgi: analysis of possible climatic effects on a coastal archaeological site. Proceedings e report. 2020; ():17-27.
Chicago/Turabian StyleVirginia Coletta; Paolo Allasia; Alessandra Bonazza; Alessandro Ciarravano; Stefano Federico; Davide Notti; Fernanda Prestileo; Rosa Claudia Torcasio; Mattia Giovanni Crespi; Stefano Dietrich. 2020. "Pyrgi: analysis of possible climatic effects on a coastal archaeological site." Proceedings e report , no. : 17-27.
In recent years, there was an increasing number of studies focusing on rockfalls due to their impacts on social and sustainable development. This work carries out a three-dimensional (3D) simulation of rockfalls at a cultural heritage site nearby the village of Cortes de Pallás (Valencian Community, East Spain). The simulation is based on data collected previously, during an emergency declaration due to the occurrence of a considerable rockfall (7980 m3) on the southern bank of the Cortes de Pallás reservoir, on 6 April 2015. The hydroelectric power plant was damaged, and the main access road to the village of Cortes de Pallás was blocked for eight months. The predominant discontinuities of the rock mass were analyzed by means of the application of structure from motion (SfM) photogrammetry techniques to the set of images taken by remotely piloted aircraft systems (RPAS). The average size of the block was determined as 3.2 m in diameter and 17.6 m3 in volume. Additionally, a digital elevation model (DEM) was generated from an aerial laser scanning (ALS)-derived point cloud using a 1 × 1 grid. These data were implemented in RocPro3D software, obtaining the distances traveled by the blocks detached from different source areas at a cultural heritage site located near the rockfall event, which presents the same geological context. The simulation presented herein shows aggravating circumstances that endanger the cultural heritage area, with higher rockfall hazards than previous official studies (1991) displayed.
Roberto Sarro; Adrián Riquelme; Juan Carlos García-Davalillo; Rosa María Mateos; Roberto Tomás; José Luis Pastor; Miguel Cano; Gerardo Herrera. Rockfall Simulation Based on UAV Photogrammetry Data Obtained during an Emergency Declaration: Application at a Cultural Heritage Site. Remote Sensing 2018, 10, 1923 .
AMA StyleRoberto Sarro, Adrián Riquelme, Juan Carlos García-Davalillo, Rosa María Mateos, Roberto Tomás, José Luis Pastor, Miguel Cano, Gerardo Herrera. Rockfall Simulation Based on UAV Photogrammetry Data Obtained during an Emergency Declaration: Application at a Cultural Heritage Site. Remote Sensing. 2018; 10 (12):1923.
Chicago/Turabian StyleRoberto Sarro; Adrián Riquelme; Juan Carlos García-Davalillo; Rosa María Mateos; Roberto Tomás; José Luis Pastor; Miguel Cano; Gerardo Herrera. 2018. "Rockfall Simulation Based on UAV Photogrammetry Data Obtained during an Emergency Declaration: Application at a Cultural Heritage Site." Remote Sensing 10, no. 12: 1923.
Satellite remote sensing is a powerful tool to map flooded areas. In recent years, the availability of free satellite data significantly increased in terms of type and frequency, allowing the production of flood maps at low cost around the world. In this work, we propose a semi-automatic method for flood mapping, based only on free satellite images and open-source software. The proposed methods are suitable to be applied by the community involved in flood hazard management, not necessarily experts in remote sensing processing. As case studies, we selected three flood events that recently occurred in Spain and Italy. Multispectral satellite data acquired by MODIS, Proba-V, Landsat, and Sentinel-2 and synthetic aperture radar (SAR) data collected by Sentinel-1 were used to detect flooded areas using different methodologies (e.g., Modified Normalized Difference Water Index, SAR backscattering variation, and supervised classification). Then, we improved and manually refined the automatic mapping using free ancillary data such as the digital elevation model-based water depth model and available ground truth data. We calculated flood detection performance (flood ratio) for the different datasets by comparing with flood maps made by official river authorities. The results show that it is necessary to consider different factors when selecting the best satellite data. Among these factors, the time of the satellite pass with respect to the flood peak is the most important. With co-flood multispectral images, more than 90% of the flooded area was detected in the 2015 Ebro flood (Spain) case study. With post-flood multispectral data, the flood ratio showed values under 50% a few weeks after the 2016 flood in Po and Tanaro plains (Italy), but it remained useful to map the inundated pattern. The SAR could detect flooding only at the co-flood stage, and the flood ratio showed values below 5% only a few days after the 2016 Po River inundation. Another result of the research was the creation of geomorphology-based inundation maps that matched up to 95% with official flood maps.
Davide Notti; Daniele Giordan; Fabiana Caló; Antonio Pepe; Francesco Zucca; Jorge Pedro Galve. Potential and Limitations of Open Satellite Data for Flood Mapping. Remote Sensing 2018, 10, 1673 .
AMA StyleDavide Notti, Daniele Giordan, Fabiana Caló, Antonio Pepe, Francesco Zucca, Jorge Pedro Galve. Potential and Limitations of Open Satellite Data for Flood Mapping. Remote Sensing. 2018; 10 (11):1673.
Chicago/Turabian StyleDavide Notti; Daniele Giordan; Fabiana Caló; Antonio Pepe; Francesco Zucca; Jorge Pedro Galve. 2018. "Potential and Limitations of Open Satellite Data for Flood Mapping." Remote Sensing 10, no. 11: 1673.
It has long been recognized that earthquakes change the stress in the upper crust around the fault rupture and can influence the behaviour of neighbouring faults and volcanoes. Rapid estimates of these stress changes can provide the authorities managing the post-disaster situation with valuable data to identify and monitor potential threads and to update the estimates of seismic and volcanic hazard in a region. Here we propose a methodology to evaluate the potential influence of an earthquake on nearby faults and volcanoes and create easy-to-understand maps for decision-making support after large earthquakes. We apply this methodology to the Mw 7.8, 2016 Ecuador earthquake. Using Sentinel-1 Interferometric Synthetic Aperture Radar (InSAR) and continuous GPS data, we measure the coseismic ground deformation and estimate the distribution of slip over the fault rupture. We also build an alternative source model using the Global Centroid Moment Tensor (CMT) solution. Then we use these models to evaluate changes of static stress on the surrounding faults and volcanoes and produce maps of potentially activated faults and volcanoes. We found, in general, good agreement between our maps and the seismic and volcanic events that occurred after the Pedernales earthquake. We discuss the potential and limitations of the methodology.
Marta Béjar-Pizarro; José A. Álvarez Gómez; Alejandra Staller; Marco P. Luna; Raúl Pérez-López; Oriol Monserrat; Kervin Chunga; Aracely Lima; Jorge Pedro Galve; José J. Martínez Díaz; Rosa María Mateos; Gerardo Herrera. InSAR-Based Mapping to Support Decision-Making after an Earthquake. Remote Sensing 2018, 10, 899 .
AMA StyleMarta Béjar-Pizarro, José A. Álvarez Gómez, Alejandra Staller, Marco P. Luna, Raúl Pérez-López, Oriol Monserrat, Kervin Chunga, Aracely Lima, Jorge Pedro Galve, José J. Martínez Díaz, Rosa María Mateos, Gerardo Herrera. InSAR-Based Mapping to Support Decision-Making after an Earthquake. Remote Sensing. 2018; 10 (6):899.
Chicago/Turabian StyleMarta Béjar-Pizarro; José A. Álvarez Gómez; Alejandra Staller; Marco P. Luna; Raúl Pérez-López; Oriol Monserrat; Kervin Chunga; Aracely Lima; Jorge Pedro Galve; José J. Martínez Díaz; Rosa María Mateos; Gerardo Herrera. 2018. "InSAR-Based Mapping to Support Decision-Making after an Earthquake." Remote Sensing 10, no. 6: 899.
Anna Barra; Oriol Monserrat; Lorenzo Solari; Gerardo Herrera; Carmen Lopez; Roberta Onori; Paola Reichenbach; Elena González; Rosa María Mateos; Silvia Bianchini; Michele Crosetto. THE SAFETY PROJECT: SENTINEL-1 FOR THE MANAGEMENT OF GEOLOGICAL RISK. Risk Analysis XI 2018, 1 .
AMA StyleAnna Barra, Oriol Monserrat, Lorenzo Solari, Gerardo Herrera, Carmen Lopez, Roberta Onori, Paola Reichenbach, Elena González, Rosa María Mateos, Silvia Bianchini, Michele Crosetto. THE SAFETY PROJECT: SENTINEL-1 FOR THE MANAGEMENT OF GEOLOGICAL RISK. Risk Analysis XI. 2018; ():1.
Chicago/Turabian StyleAnna Barra; Oriol Monserrat; Lorenzo Solari; Gerardo Herrera; Carmen Lopez; Roberta Onori; Paola Reichenbach; Elena González; Rosa María Mateos; Silvia Bianchini; Michele Crosetto. 2018. "THE SAFETY PROJECT: SENTINEL-1 FOR THE MANAGEMENT OF GEOLOGICAL RISK." Risk Analysis XI , no. : 1.
Flood mapping and estimation of the maximum water depth are essential elements for the first damage evaluation, civil protection intervention planning and detection of areas where remediation is needed. In this work, we present and discuss a methodology for mapping and quantifying flood severity over floodplains. The proposed methodology considers a multiscale and multi-sensor approach using free or low-cost data and sensors. We applied this method to the November 2016 Piedmont (northwestern Italy) flood. We first mapped the flooded areas at the basin scale using free satellite data from low- to medium-high-resolution from both the SAR (Sentinel-1, COSMO-Skymed) and multispectral sensors (MODIS, Sentinel-2). Using very- and ultra-high-resolution images from the low-cost aerial platform and remotely piloted aerial system, we refined the flooded zone and detected the most damaged sector. The presented method considers both urbanised and non-urbanised areas. Nadiral images have several limitations, in particular in urbanised areas, where the use of terrestrial images solved this limitation. Very- and ultra-high-resolution images were processed with structure from motion (SfM) for the realisation of 3-D models. These data, combined with an available digital terrain model, allowed us to obtain maps of the flooded area, maximum high water area and damaged infrastructures.
Daniele Giordan; Davide Notti; Alfredo Villa; Francesco Zucca; Fabiana Calò; Antonio Pepe; Furio Dutto; Paolo Pari; Marco Baldo; Paolo Allasia. Low cost, multiscale and multi-sensor application for flooded area mapping. Natural Hazards and Earth System Sciences 2018, 18, 1493 -1516.
AMA StyleDaniele Giordan, Davide Notti, Alfredo Villa, Francesco Zucca, Fabiana Calò, Antonio Pepe, Furio Dutto, Paolo Pari, Marco Baldo, Paolo Allasia. Low cost, multiscale and multi-sensor application for flooded area mapping. Natural Hazards and Earth System Sciences. 2018; 18 (5):1493-1516.
Chicago/Turabian StyleDaniele Giordan; Davide Notti; Alfredo Villa; Francesco Zucca; Fabiana Calò; Antonio Pepe; Furio Dutto; Paolo Pari; Marco Baldo; Paolo Allasia. 2018. "Low cost, multiscale and multi-sensor application for flooded area mapping." Natural Hazards and Earth System Sciences 18, no. 5: 1493-1516.
Davide Notti. Reply to RC-4. 2018, 1 .
AMA StyleDavide Notti. Reply to RC-4. . 2018; ():1.
Chicago/Turabian StyleDavide Notti. 2018. "Reply to RC-4." , no. : 1.
Groundwater depletion caused by rapid population growth, global climate change, water resources overexploitation is a major concern in many regions of the world. Consequences are not limited to a non-renewable water loss but extend to environmental degradation and geo-hazards risk increase. In areas where excessive groundwater withdrawal occurs, land subsidence induced by aquifer compaction is observed, resulting in severe socio-economic damage for the affected communities. In this work, we apply a multi-source data approach to investigate the fragile environment of Konya plain, central Turkey. The area, which is under strong anthropogenic pressures and faces with serious water-related problems, is widely affected by land subsidence. In order to analyze the spatial and temporal pattern of the subsidence process we use the Small BAseline Subset DInSAR technique to process two datasets of ENVISAT SAR images spanning the 2002–2010 period and to produce ground deformation maps and associated time-series. Results, complemented with meteorological, stratigraphic and piezometric data as well as with land-cover information, allow us to obtain a comprehensive picture of the climatic, hydrogeological and human dynamics of the study area.
F. Calò; D. Notti; J. P. Galve; S. Abdikan; T. Görüm; O. Orhan; H. B. Makineci; A. Pepe; M. Yakar; F. Balik Şanli. A MULTI-SOURCE DATA APPROACH FOR THE INVESTIGATION OF LAND SUBSIDENCE IN THE KONYA BASIN, TURKEY. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2018, XLII-3/W4, 129 -135.
AMA StyleF. Calò, D. Notti, J. P. Galve, S. Abdikan, T. Görüm, O. Orhan, H. B. Makineci, A. Pepe, M. Yakar, F. Balik Şanli. A MULTI-SOURCE DATA APPROACH FOR THE INVESTIGATION OF LAND SUBSIDENCE IN THE KONYA BASIN, TURKEY. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2018; XLII-3/W4 ():129-135.
Chicago/Turabian StyleF. Calò; D. Notti; J. P. Galve; S. Abdikan; T. Görüm; O. Orhan; H. B. Makineci; A. Pepe; M. Yakar; F. Balik Şanli. 2018. "A MULTI-SOURCE DATA APPROACH FOR THE INVESTIGATION OF LAND SUBSIDENCE IN THE KONYA BASIN, TURKEY." The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W4, no. : 129-135.