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Fabio Giulio Tonolo
Polytechnic University of Turin

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Conference paper
Published: 14 April 2021 in Transactions on Petri Nets and Other Models of Concurrency XV
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The combination of thermographic and geometric recording has always been an issue for architectural heritage diagnostic investigations. Multidisciplinary projects often require integrating multi-sensor information—including metric and temperature data—to extract valid conclusions regarding the state-of-preservation of historical buildings. Towards this direction, recent technological advancements in thermographic cameras and three-dimensional (3D) documentation instrumentation and software have contributed significantly, assisting the rapid creation of detailed 3D thermal-textured results, which can be exploited for non-destructive diagnostical surveys. This paper aims to briefly review and evaluate the current workflows for thermographic architectural 3D modeling, which implement state-of-the-art sensing procedures and processing techniques, while also presenting some applications on case studies of significant heritage value to help discuss current problems and identify topics for relevant future research.

ACS Style

Efstathios Adamopoulos; Giacomo Patrucco; Monica Volinia; Mario Girotto; Fulvio Rinaudo; Fabio Giulio Tonolo; Antonia Spanò. 3D Thermal Mapping of Architectural Heritage. Transactions on Petri Nets and Other Models of Concurrency XV 2021, 26 -37.

AMA Style

Efstathios Adamopoulos, Giacomo Patrucco, Monica Volinia, Mario Girotto, Fulvio Rinaudo, Fabio Giulio Tonolo, Antonia Spanò. 3D Thermal Mapping of Architectural Heritage. Transactions on Petri Nets and Other Models of Concurrency XV. 2021; ():26-37.

Chicago/Turabian Style

Efstathios Adamopoulos; Giacomo Patrucco; Monica Volinia; Mario Girotto; Fulvio Rinaudo; Fabio Giulio Tonolo; Antonia Spanò. 2021. "3D Thermal Mapping of Architectural Heritage." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 26-37.

Journal article
Published: 30 September 2020 in ISPRS International Journal of Geo-Information
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The use of unmanned aerial vehicles (UAVs) is nowadays a standard approach in several application fields. Researches connected with these systems cover several topics and the evolution of these platforms and their applications are rapidly growing. Despite the high level of automatization reached nowadays, there is still a phase of the overall UAVs’ photogrammetric pipeline that requires a high effort in terms of time and resources (i.e., the georeferencing phase). However, thanks to the availability of survey-grade GNSS (Global Navigation Satellite System) receivers embedded in the aerial platforms, it is possible to also enhance this phase of the processing by adopting direct georeferencing approaches (i.e., without using any ground control point and exploiting real time kinematic (RTK) positioning). This work investigates the possibilities offered by a multirotor commercial system equipped with a RTK-enabled GNSS receiver, focusing on the accuracy of the georeferencing phase. Several tests were performed in an ad-hoc case study exploiting different georeferencing solutions and assessing the 3D positional accuracies, thanks to a network of control points. The best approaches to be adopted in the field according to accuracy requirements of the final map products were identified and operational guidelines proposed accordingly.

ACS Style

Lorenzo Teppati Losè; Filiberto Chiabrando; Fabio Giulio Tonolo. Boosting the Timeliness of UAV Large Scale Mapping. Direct Georeferencing Approaches: Operational Strategies and Best Practices. ISPRS International Journal of Geo-Information 2020, 9, 578 .

AMA Style

Lorenzo Teppati Losè, Filiberto Chiabrando, Fabio Giulio Tonolo. Boosting the Timeliness of UAV Large Scale Mapping. Direct Georeferencing Approaches: Operational Strategies and Best Practices. ISPRS International Journal of Geo-Information. 2020; 9 (10):578.

Chicago/Turabian Style

Lorenzo Teppati Losè; Filiberto Chiabrando; Fabio Giulio Tonolo. 2020. "Boosting the Timeliness of UAV Large Scale Mapping. Direct Georeferencing Approaches: Operational Strategies and Best Practices." ISPRS International Journal of Geo-Information 9, no. 10: 578.

Journal article
Published: 13 July 2020 in Sustainability
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In Sahelian Africa, rural centers have been hit by catastrophic floods for many years. In order to prevent the impact of flooding, the flood-prone areas and the settlement dynamics within them must be identified. The aim of this study is to ascertain the floodplain settlement dynamics in the Maouri valley (135 km2) in the municipality of Guéchémé, Niger. Through hydraulic modeling, the analysis identified the flood-prone areas according to three return periods. The dynamics of the settlements in these areas between 2009 and 2019 were identified through the photointerpretation of high-resolution satellite images and compared with those in the adjacent non-flood-prone areas. Spatial planning was applied to extract the main dynamics. The synergic application of these disciplines in a rural context represents a novelty in the research field. Since 2009, the results have shown a 52% increase of the built-up area and a 12% increase in the number of buildings, though the increase was higher in the flood-prone areas. The factors that transform floods into catastrophes were identified through perceptions gathered from the local communities. Three dynamics of the expansion and consolidation of buildings were observed. Specific flood risk prevention and preparation actions are proposed for each type of dynamic.

ACS Style

Andrea Galligari; Fabio Giulio Tonolo; Giovanni Massazza. Floodplain Settlement Dynamics in the Maouri Dallol at Guéchémé, Niger: A Multidisciplinary Approach. Sustainability 2020, 12, 5632 .

AMA Style

Andrea Galligari, Fabio Giulio Tonolo, Giovanni Massazza. Floodplain Settlement Dynamics in the Maouri Dallol at Guéchémé, Niger: A Multidisciplinary Approach. Sustainability. 2020; 12 (14):5632.

Chicago/Turabian Style

Andrea Galligari; Fabio Giulio Tonolo; Giovanni Massazza. 2020. "Floodplain Settlement Dynamics in the Maouri Dallol at Guéchémé, Niger: A Multidisciplinary Approach." Sustainability 12, no. 14: 5632.

Journal article
Published: 24 November 2019 in Remote Sensing
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Remotely sensed data can provide the basis for timely and efficient building damage maps that are of fundamental importance to support the response activities following disaster events. However, the generation of these maps continues to be mainly based on the manual extraction of relevant information in operational frameworks. Considering the identification of visible structural damages caused by earthquakes and explosions, several recent works have shown that Convolutional Neural Networks (CNN) outperform traditional methods. However, the limited availability of publicly available image datasets depicting structural disaster damages, and the wide variety of sensors and spatial resolution used for these acquisitions (from space, aerial and UAV platforms), have limited the clarity of how these networks can effectively serve First Responder needs and emergency mapping service requirements. In this paper, an advanced CNN for visible structural damage detection is tested to shed some light on what deep learning networks can currently deliver, and its adoption in realistic operational conditions after earthquakes and explosions is critically discussed. The heterogeneous and large datasets collected by the authors covering different locations, spatial resolutions and platforms were used to assess the network performances in terms of transfer learning with specific regard to geographical transferability of the trained network to imagery acquired in different locations. The computational time needed to deliver these maps is also assessed. Results show that quality metrics are influenced by the composition of training samples used in the network. To promote their wider use, three pre-trained networks—optimized for satellite, airborne and UAV image spatial resolutions and viewing angles—are made freely available to the scientific community.

ACS Style

Francesco Nex; Diogo Duarte; Fabio Giulio Tonolo; Norman Kerle. Structural Building Damage Detection with Deep Learning: Assessment of a State-of-the-Art CNN in Operational Conditions. Remote Sensing 2019, 11, 2765 .

AMA Style

Francesco Nex, Diogo Duarte, Fabio Giulio Tonolo, Norman Kerle. Structural Building Damage Detection with Deep Learning: Assessment of a State-of-the-Art CNN in Operational Conditions. Remote Sensing. 2019; 11 (23):2765.

Chicago/Turabian Style

Francesco Nex; Diogo Duarte; Fabio Giulio Tonolo; Norman Kerle. 2019. "Structural Building Damage Detection with Deep Learning: Assessment of a State-of-the-Art CNN in Operational Conditions." Remote Sensing 11, no. 23: 2765.

Journal article
Published: 16 July 2019 in Geosciences
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Satellite-based Emergency Mapping (SEM) mechanisms provide information for emergency response in relation to different types of disasters, including tsunamis, based on the analysis of satellite imagery acquired in the aftermath of an event. One of the main critical aspects of a SEM service is the timeliness in providing relevant information in the hours following the event. The availability of a relevant post-event image is crucial; therefore, satellite sensors need to be programmed as soon as possible. The integration of a tsunami alerting system, like the one offered by the Global Disaster Alert and Coordination System (GDACS), can be highly beneficial in a SEM mechanism for streamlining and accelerating the satellite programming task and for generating first damage estimates. The GDACS tsunami model is validated using tidal gauge data and a post-event field survey. Tsunami model outputs are then exploited to automatically identify areas of interest to be used for immediate satellite acquisition triggering. Three alternative operational integration approaches are proposed, described and discussed, taking as use case the tsunami that struck the central Chilean coast after the 8.3 magnitude earthquake on 16 September 2015.

ACS Style

Andrea Ajmar; Alessandro Annunziato; Piero Boccardo; Fabio Giulio Tonolo; Annett Wania. Tsunami Modeling and Satellite-Based Emergency Mapping: Workflow Integration Opportunities. Geosciences 2019, 9, 314 .

AMA Style

Andrea Ajmar, Alessandro Annunziato, Piero Boccardo, Fabio Giulio Tonolo, Annett Wania. Tsunami Modeling and Satellite-Based Emergency Mapping: Workflow Integration Opportunities. Geosciences. 2019; 9 (7):314.

Chicago/Turabian Style

Andrea Ajmar; Alessandro Annunziato; Piero Boccardo; Fabio Giulio Tonolo; Annett Wania. 2019. "Tsunami Modeling and Satellite-Based Emergency Mapping: Workflow Integration Opportunities." Geosciences 9, no. 7: 314.

Journal article
Published: 05 June 2019 in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Traffic (or road) signs are an important component for applications in the mobility domain. When integrated with a road network, traffic signs, e.g. speed limits, restricted access, breakthrough prohibition signs, provide information that can be exploited in determining impedances, travel times and routing options. Additionally, the availability of a traffic sign geospatial dataset is considered crucial, especially when installation and maintenance tasks are strictly managed by road concessionaires. Unfortunately, public and private road concessionaires not always have this kind of dataset, and its generation could be highly demanding in terms of both human and time resources.The focus of this paper is on exploring the fit for purpose of semantic segmentation techniques to feed and update existing road network datasets and traffic sign censuses, exploiting free and open mapping initiative like Mapillary (possibly including commercial derivative products) and OpenStreetMap (OSM). More specifically, the authors are analysing the best approaches for integrating the results of map features extraction into road network data with the objective to develop a semi-automated procedure for supporting this task and made it feasible over large urban areas.

ACS Style

A. Ajmar; E. Arco; P. Boccardo; Fabio Giulio Tonolo; J. Yoong. UPDATING A ROAD NETWORK DATASET EXPLOITING THE RESULTS OF SEMANTIC SEGMENTATION TECHNIQUES APPLIED TO STREET-LEVEL IMAGERY. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2019, XLII-2/W13, 1511 -1516.

AMA Style

A. Ajmar, E. Arco, P. Boccardo, Fabio Giulio Tonolo, J. Yoong. UPDATING A ROAD NETWORK DATASET EXPLOITING THE RESULTS OF SEMANTIC SEGMENTATION TECHNIQUES APPLIED TO STREET-LEVEL IMAGERY. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2019; XLII-2/W13 ():1511-1516.

Chicago/Turabian Style

A. Ajmar; E. Arco; P. Boccardo; Fabio Giulio Tonolo; J. Yoong. 2019. "UPDATING A ROAD NETWORK DATASET EXPLOITING THE RESULTS OF SEMANTIC SEGMENTATION TECHNIQUES APPLIED TO STREET-LEVEL IMAGERY." The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13, no. : 1511-1516.

Journal article
Published: 04 June 2019 in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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UAVs platform are increasingly deployed by first responders and local stakeholders to get a first overview of disaster affected areas with a high level of detail and different off-nadir angle configurations. Through a rapid mapping approach, the acquired data (video sequences or pictures) are analysed to extract information on damages to buildings and infrastructures with the goal to support the Search and Rescue operations. The specific focus of the paper is on evaluating the expected benefits (from the rapid mapping perspective) deriving from a direct georeferencing approach when using UAV with RTK capabilities. Specifically, data acquired by a fixed wing eBee RTK platform by SenseFly over the areas affected by the earthquake that hit central Italy in 2016 have been processed to compare the positional accuracies of orthoimagery generated by means of a direct georeferencing approach (without any GPC) with and without a post-processing kinematic solution. The results highlight that an RTK-enabled platform allows to achieve orthoimagery positioning accuracy values up to few centimeters without the need of any control point. In the conclusion session the operational implications of a PPK-based approach versus a standard direct georeferencing are critically discussed.

ACS Style

F. Chiabrando; Fabio Giulio Tonolo; A. Lingua. UAV DIRECT GEOREFERENCING APPROACH IN AN EMERGENCY MAPPING CONTEXT. THE 2016 CENTRAL ITALY EARTHQUAKE CASE STUDY. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2019, XLII-2/W13, 247 -253.

AMA Style

F. Chiabrando, Fabio Giulio Tonolo, A. Lingua. UAV DIRECT GEOREFERENCING APPROACH IN AN EMERGENCY MAPPING CONTEXT. THE 2016 CENTRAL ITALY EARTHQUAKE CASE STUDY. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2019; XLII-2/W13 ():247-253.

Chicago/Turabian Style

F. Chiabrando; Fabio Giulio Tonolo; A. Lingua. 2019. "UAV DIRECT GEOREFERENCING APPROACH IN AN EMERGENCY MAPPING CONTEXT. THE 2016 CENTRAL ITALY EARTHQUAKE CASE STUDY." The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13, no. : 247-253.

Conference paper
Published: 01 September 2018 in 2018 26th European Signal Processing Conference (EUSIPCO)
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ACS Style

Sina Ghassemi; Constantin Sandu; Attilio Fiandrotti; Fabio Giulio Tonolo; Piero Boccardo; Gianluca Francini; Enrico Magli. Satellite Image Segmentation with Deep Residual Architectures for Time-Critical Applications. 2018 26th European Signal Processing Conference (EUSIPCO) 2018, 1 .

AMA Style

Sina Ghassemi, Constantin Sandu, Attilio Fiandrotti, Fabio Giulio Tonolo, Piero Boccardo, Gianluca Francini, Enrico Magli. Satellite Image Segmentation with Deep Residual Architectures for Time-Critical Applications. 2018 26th European Signal Processing Conference (EUSIPCO). 2018; ():1.

Chicago/Turabian Style

Sina Ghassemi; Constantin Sandu; Attilio Fiandrotti; Fabio Giulio Tonolo; Piero Boccardo; Gianluca Francini; Enrico Magli. 2018. "Satellite Image Segmentation with Deep Residual Architectures for Time-Critical Applications." 2018 26th European Signal Processing Conference (EUSIPCO) , no. : 1.

Articles
Published: 01 January 2018 in European Journal of Remote Sensing
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Damage assessment from very high resolution (VHR) remote sensing imagery plays a fundamental role in the delineation of the impact caused by catastrophic events. To date internationally accepted standard guidelines on how to assess damages to building using vertical imagery have not yet been developed. This study therefore proposes a building damage scale – and related interpretation guidelines to be operationally adopted as a standard by the main stakeholders – tailored to analyses based on VHR remote sensed vertical imagery. Preliminarily, some of the damage scales used for building damage assessment by the main satellite-based emergency mapping services have been analysed and discussed. A quantitative thematic accuracy analysis based on the open accessible crisis datasets related to the earthquake occurred in Central Italy in August 2016 has been carried out. The results highlight that by using VHR remotely sensed images it is not possible to directly apply damage classification scales addressing slight structural damages (e.g. the lowest grades proposed by EMS-’98). The paper demonstrates that using different damage classes and detailing the interpretation guidelines with operational examples is essential to increase the thematic accuracy of the analysis.

ACS Style

Silvana Cotrufo; Constantin Sandu; Fabio Giulio Tonolo; Piero Boccardo. Building damage assessment scale tailored to remote sensing vertical imagery. European Journal of Remote Sensing 2018, 51, 991 -1005.

AMA Style

Silvana Cotrufo, Constantin Sandu, Fabio Giulio Tonolo, Piero Boccardo. Building damage assessment scale tailored to remote sensing vertical imagery. European Journal of Remote Sensing. 2018; 51 (1):991-1005.

Chicago/Turabian Style

Silvana Cotrufo; Constantin Sandu; Fabio Giulio Tonolo; Piero Boccardo. 2018. "Building damage assessment scale tailored to remote sensing vertical imagery." European Journal of Remote Sensing 51, no. 1: 991-1005.

Book chapter
Published: 07 July 2017 in Large Igneous Provinces
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This chapter focuses on the emergency mapping activities generally carried out to support the immediate response to flood events, mainly describing the role of satellite data. The main goal of Rapid Mapping activities is described and discussed, i.e., the identification of the affected areas and, when possible, the assessment of damages to the main assets (e.g., infrastructures, agriculture, etc.). It is an early information product whose content is as close as possible to the final maps, but which has not undergone extensive quality review and may lack some information derived from the analysis. This chapter focuses on the description and analysis of common operational approaches generally adopted in the framework of Emergency.

ACS Style

Andrea Ajmar; Piero Boccardo; Marco Broglia; Jan Kucera; Fabio Giulio‐Tonolo; Annett Wania. Response to Flood Events. Large Igneous Provinces 2017, 211 -228.

AMA Style

Andrea Ajmar, Piero Boccardo, Marco Broglia, Jan Kucera, Fabio Giulio‐Tonolo, Annett Wania. Response to Flood Events. Large Igneous Provinces. 2017; ():211-228.

Chicago/Turabian Style

Andrea Ajmar; Piero Boccardo; Marco Broglia; Jan Kucera; Fabio Giulio‐Tonolo; Annett Wania. 2017. "Response to Flood Events." Large Igneous Provinces , no. : 211-228.

Journal article
Published: 01 January 2017 in European Journal of Remote Sensing
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ACS Style

Magdalena Vassileva; Fabio Giulio Tonolo; Paolo Riccardi; Daniele Lecci; Piero Boccardo; Giuliana Chiesa. Satellite SAR interferometric techniques in support to emergency mapping. European Journal of Remote Sensing 2017, 50, 464 -477.

AMA Style

Magdalena Vassileva, Fabio Giulio Tonolo, Paolo Riccardi, Daniele Lecci, Piero Boccardo, Giuliana Chiesa. Satellite SAR interferometric techniques in support to emergency mapping. European Journal of Remote Sensing. 2017; 50 (1):464-477.

Chicago/Turabian Style

Magdalena Vassileva; Fabio Giulio Tonolo; Paolo Riccardi; Daniele Lecci; Piero Boccardo; Giuliana Chiesa. 2017. "Satellite SAR interferometric techniques in support to emergency mapping." European Journal of Remote Sensing 50, no. 1: 464-477.

Review article
Published: 14 July 2016 in Science
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Over the past 15 years, scientists and disaster responders have increasingly used satellite-based Earth observations for global rapid assessment of disaster situations. We review global trends in satellite rapid response and emergency mapping from 2000 to 2014, analyzing more than 1000 incidents in which satellite monitoring was used for assessing major disaster situations. We provide a synthesis of spatial patterns and temporal trends in global satellite emergency mapping efforts and show that satellite-based emergency mapping is most intensively deployed in Asia and Europe and follows well the geographic, physical, and temporal distributions of global natural disasters. We present an outlook on the future use of Earth observation technology for disaster response and mitigation by putting past and current developments into context and perspective.

ACS Style

Stefan Voigt; Fabio Giulio Tonolo; Josh Lyons; Jan Kučera; Brenda Jones; Tobias Schneiderhan; Gabriel Platzeck; Kazuya Kaku; Manzul Kumar Hazarika; Lorant Czaran; Suju Li; Wendi Pedersen; Godstime James; Catherine Proy; Denis Macharia Muthike; Jerome Bequignon; Debarati Guha-Sapir. Global trends in satellite-based emergency mapping. Science 2016, 353, 247 -252.

AMA Style

Stefan Voigt, Fabio Giulio Tonolo, Josh Lyons, Jan Kučera, Brenda Jones, Tobias Schneiderhan, Gabriel Platzeck, Kazuya Kaku, Manzul Kumar Hazarika, Lorant Czaran, Suju Li, Wendi Pedersen, Godstime James, Catherine Proy, Denis Macharia Muthike, Jerome Bequignon, Debarati Guha-Sapir. Global trends in satellite-based emergency mapping. Science. 2016; 353 (6296):247-252.

Chicago/Turabian Style

Stefan Voigt; Fabio Giulio Tonolo; Josh Lyons; Jan Kučera; Brenda Jones; Tobias Schneiderhan; Gabriel Platzeck; Kazuya Kaku; Manzul Kumar Hazarika; Lorant Czaran; Suju Li; Wendi Pedersen; Godstime James; Catherine Proy; Denis Macharia Muthike; Jerome Bequignon; Debarati Guha-Sapir. 2016. "Global trends in satellite-based emergency mapping." Science 353, no. 6296: 247-252.

Journal article
Published: 02 July 2015 in Sensors
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Exploiting the decrease of costs related to UAV technology, the humanitarian community started piloting the use of similar systems in humanitarian crises several years ago in different application fields, i.e., disaster mapping and information gathering, community capacity building, logistics and even transportation of goods. Part of the author’s group, composed of researchers in the field of applied geomatics, has been piloting the use of UAVs since 2006, with a specific focus on disaster management application. In the framework of such activities, a UAV deployment exercise was jointly organized with the Regional Civil Protection authority, mainly aimed at assessing the operational procedures to deploy UAVs for mapping purposes and the usability of the acquired data in an emergency response context. In the paper the technical features of the UAV platforms will be described, comparing the main advantages/disadvantages of fixed-wing versus rotor platforms. The main phases of the adopted operational procedure will be discussed and assessed especially in terms of time required to carry out each step, highlighting potential bottlenecks and in view of the national regulation framework, which is rapidly evolving. Different methodologies for the processing of the acquired data will be described and discussed, evaluating the fitness for emergency response applications.

ACS Style

Piero Boccardo; Filiberto Chiabrando; Furio Dutto; Fabio Giulio Tonolo; Andrea Maria Lingua. UAV Deployment Exercise for Mapping Purposes: Evaluation of Emergency Response Applications. Sensors 2015, 15, 15717 -15737.

AMA Style

Piero Boccardo, Filiberto Chiabrando, Furio Dutto, Fabio Giulio Tonolo, Andrea Maria Lingua. UAV Deployment Exercise for Mapping Purposes: Evaluation of Emergency Response Applications. Sensors. 2015; 15 (7):15717-15737.

Chicago/Turabian Style

Piero Boccardo; Filiberto Chiabrando; Furio Dutto; Fabio Giulio Tonolo; Andrea Maria Lingua. 2015. "UAV Deployment Exercise for Mapping Purposes: Evaluation of Emergency Response Applications." Sensors 15, no. 7: 15717-15737.

Conference paper
Published: 01 July 2015 in 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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This paper is focused on an operational case study related to the adoption of a Multi-Temporal Coherence (MTC) color composite approach to support monitoring activities of volcanic eruption events. A specific case study related to the volcanic eruption in Fogo Island (Cape Verde), which started on late November 2014 will be presented and discussed. A MTC analysis based on data acquired by the COSMO-SkyMed SAR satellite constellation of the Italian Space Agency is describe in details. The thematic accuracy of the MTC based analysis is assessed exploiting as comparison data lava extents derived by very high resolution satellite imagery acquired in the same period.

ACS Style

Piero Boccardo; Vittorio Gentile; Fabio Giulio Tonolo; Domenico Grandoni; Magdalena Vassileva. Multitemporal SAR coherence analysis: Lava flow monitoring case study. 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015, 2699 -2702.

AMA Style

Piero Boccardo, Vittorio Gentile, Fabio Giulio Tonolo, Domenico Grandoni, Magdalena Vassileva. Multitemporal SAR coherence analysis: Lava flow monitoring case study. 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 2015; ():2699-2702.

Chicago/Turabian Style

Piero Boccardo; Vittorio Gentile; Fabio Giulio Tonolo; Domenico Grandoni; Magdalena Vassileva. 2015. "Multitemporal SAR coherence analysis: Lava flow monitoring case study." 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) , no. : 2699-2702.

Conference paper
Published: 01 July 2015 in 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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The present paper is focused on a potential method for unsupervised flood extent classification approach based, on the extraction of radar shadows from SAR simulated image, generated by means of image metadata and an available DSM covering the area of interest. The SAR simulation process is carried out using the SAR Simulator tool, implemented in the free and open SAR PlugIn developed for the Opticks platform. Different tests have been performed using SGF RADARSAT-2 imagery in order to assess the effectiveness of the proposed approac

ACS Style

Magdalena Stefanova Vassileva; Andrea Nascetti; Fabio Giulio Tonolo; Piero Boccardo. Unsupervised flood extent detection from SAR imagery applying shadow filtering from SAR simulated image. 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015, 1 .

AMA Style

Magdalena Stefanova Vassileva, Andrea Nascetti, Fabio Giulio Tonolo, Piero Boccardo. Unsupervised flood extent detection from SAR imagery applying shadow filtering from SAR simulated image. 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 2015; ():1.

Chicago/Turabian Style

Magdalena Stefanova Vassileva; Andrea Nascetti; Fabio Giulio Tonolo; Piero Boccardo. 2015. "Unsupervised flood extent detection from SAR imagery applying shadow filtering from SAR simulated image." 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) , no. : 1.

Journal article
Published: 25 March 2015 in Rendiconti Lincei. Scienze Fisiche e Naturali
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In recent years an increasing number of extreme meteorological events have been recorded. Geomatics techniques have been historically adopted to support the different phases of the Emergency Management cycle with a main focus on emergency response, initial recovery and preparedness through the acquisition, processing, management and dissemination of geospatial data. In the meantime, the increased availability of geospatial data in terms of reference topographic datasets, made available by authoritative National Mapping Cadastre Agencies or by Collaborative Mapping initiatives like OpenStreetMap, as well as of remotely sensed imagery, poses new challenges to the Geomatics role in defining operational tools and services in support of emergency management activities. This paper is mainly focused on the role of Geomatics in supporting the response phase of the Emergency Management cycle through Rapid Mapping activities, which can be defined as “the on-demand and fast provision (within hours or days) of geospatial information in support of emergency management activities immediately following an emergency event” (source: European Union, http://emergency.copernicus.eu/mapping/ems/service-overview). Management of geospatial datasets (both reference and thematic), Remote Sensing sensors and techniques and spatial information science methodologies applied to Rapid Mapping will be described, with the goal to highlight the role that Geomatics is currently playing in this domain. The major technical requirements, constraints and research opportunities of a Rapid Mapping service will be discussed, with a specific focus on: the time constraints of the service, the data quality requirements, the need to provide replicable products, the need for consistent data models, the advantages of data interoperability, the automation of feature extraction procedures to reduce the need for Computer Aided Photo Interpretation, the dissemination strategies.

ACS Style

Andrea Ajmar; Piero Boccardo; Franca Disabato; Fabio Giulio Tonolo. Rapid Mapping: geomatics role and research opportunities. Rendiconti Lincei. Scienze Fisiche e Naturali 2015, 26, 63 -73.

AMA Style

Andrea Ajmar, Piero Boccardo, Franca Disabato, Fabio Giulio Tonolo. Rapid Mapping: geomatics role and research opportunities. Rendiconti Lincei. Scienze Fisiche e Naturali. 2015; 26 (S1):63-73.

Chicago/Turabian Style

Andrea Ajmar; Piero Boccardo; Franca Disabato; Fabio Giulio Tonolo. 2015. "Rapid Mapping: geomatics role and research opportunities." Rendiconti Lincei. Scienze Fisiche e Naturali 26, no. S1: 63-73.

Book chapter
Published: 26 August 2014 in Engineering Geology for Society and Territory - Volume 5
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In recent years, due to an increasing number of extreme meteorological events potentially related to climate change, a growing attention has been paid to the operational use of satellite remote sensing applied to emergency management applications. This is mainly due to the large and timely availability of different types of remotely sensed data—as well as geospatial information acquired in the field—which may be potentially exploited in the different phases of the disaster management cycle. This paper is mainly focused on the use of remotely sensed data in emergency mapping applications supporting the crisis response phase, including natural disasters as well as humanitarian crisis. The main relevant initiatives related to emergency mapping operational services will be briefly described. For the main disaster types the suitable imagery, their relevant technical features and the main processing techniques generally adopted in an operational framework will be described. Known limitations of a satellite-based approach will be described and potential complementary geomatics techniques (including emerging technologies) to overcome the aforementioned limits will be discussed.

ACS Style

Piero Boccardo; Fabio Giulio Tonolo. Remote Sensing Role in Emergency Mapping for Disaster Response. Engineering Geology for Society and Territory - Volume 5 2014, 17 -24.

AMA Style

Piero Boccardo, Fabio Giulio Tonolo. Remote Sensing Role in Emergency Mapping for Disaster Response. Engineering Geology for Society and Territory - Volume 5. 2014; ():17-24.

Chicago/Turabian Style

Piero Boccardo; Fabio Giulio Tonolo. 2014. "Remote Sensing Role in Emergency Mapping for Disaster Response." Engineering Geology for Society and Territory - Volume 5 , no. : 17-24.

Review
Published: 01 August 2012 in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Haiti was hit by a devastating earthquake on 12 January 2010. The immediate response to the disaster was a real turning point concerning the availability, dissemination and licensing of a huge quantity of geospatial data. Timely triggering of the Earth Observation satellites, and absence of cloud cover, allowed to acquire very high-resolution optical satellite imagery (spatial resolution up to 0.5m) over the main affected areas within a few hours of the disaster, while the whole country coverage was completed in a very short time span. Furthermore in the following days aerial imagery, high resolution SAR radar imagery as well as thermal and LiDAR data were widely acquired. The paper will show how well established remote sensing techniques allowed to carry out earthquake damage assessment in a very short time, exploiting the synergic capabilities of geospatial tools and instruments such as EO satellites, Web mapping, GIS software and volunteer mapping. In a few days several map products based on the aforementioned analysis were delivered to end users: a review of the different types and purposes of this products will be provided and discussed. An assessment of the thematic accuracy of remotely sensed based products will be carried out on the basis of a review of the several available studies focused on this issue, including the main outcomes of a validation based on a comparison with in-situ data performed by the authors.

ACS Style

P. Boccardo; F. G. Tonolo. HAITI EARTHQUAKE DAMAGE ASSESSMENT: REVIEW OF THE REMOTE SENSING ROLE. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2012, XXXIX-B4, 529 -532.

AMA Style

P. Boccardo, F. G. Tonolo. HAITI EARTHQUAKE DAMAGE ASSESSMENT: REVIEW OF THE REMOTE SENSING ROLE. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2012; XXXIX-B4 ():529-532.

Chicago/Turabian Style

P. Boccardo; F. G. Tonolo. 2012. "HAITI EARTHQUAKE DAMAGE ASSESSMENT: REVIEW OF THE REMOTE SENSING ROLE." The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XXXIX-B4, no. : 529-532.

Original articles
Published: 09 December 2011 in International Journal of Digital Earth
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Among the major natural disasters that occurred in 2010, the Haiti earthquake was a real turning point concerning the availability, dissemination and licensing of a huge quantity of geospatial data. In a few days several map products based on the analysis of remotely sensed data-sets were delivered to users. This demonstrated the need for reliable methods to validate the increasing variety of open source data and remote sensing-derived products for crisis management, with the aim to correctly spatially reference and interconnect these data with other global digital archives. As far as building damage assessment is concerned, the need for accurate field data to overcome the limitations of both vertical and oblique view satellite and aerial images was evident. To cope with the aforementioned need, a newly developed Low-Cost Mobile Mapping System (LCMMS) was deployed in Port-au-Prince (Haiti) and tested during a five-day survey in February–March 2010. The system allows for acquisition of movies and single georeferenced frames by means of a transportable device easily installable (or adaptable) to every type of vehicle. It is composed of four webcams with a total field of view of about 180 degrees and one Global Positioning System (GPS) receiver, with the main aim to rapidly cover large areas for effective usage in emergency situations. The main technical features of the LCMMS, the operational use in the field (and related issues) and a potential approach to be adopted for the validation of satellite/aerial building damage assessments are thoroughly described in the article.

ACS Style

Andrea Ajmar; Simone Balbo; Piero Boccardo; Fabio Giulio Tonolo; Marco Piras; Jan Princic. A Low-Cost Mobile Mapping System (LCMMS) for field data acquisition: a potential use to validate aerial/satellite building damage assessment. International Journal of Digital Earth 2011, 1 -21.

AMA Style

Andrea Ajmar, Simone Balbo, Piero Boccardo, Fabio Giulio Tonolo, Marco Piras, Jan Princic. A Low-Cost Mobile Mapping System (LCMMS) for field data acquisition: a potential use to validate aerial/satellite building damage assessment. International Journal of Digital Earth. 2011; ():1-21.

Chicago/Turabian Style

Andrea Ajmar; Simone Balbo; Piero Boccardo; Fabio Giulio Tonolo; Marco Piras; Jan Princic. 2011. "A Low-Cost Mobile Mapping System (LCMMS) for field data acquisition: a potential use to validate aerial/satellite building damage assessment." International Journal of Digital Earth , no. : 1-21.

Journal article
Published: 30 June 2011 in Italian Journal of Remote Sensing
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ACS Style

Andrea Ajmar; Piero Boccccardo; Fabio Giulio Tonolo. Earthquake damage assessment based on remote sensing data. The Haiti case study. Italian Journal of Remote Sensing 2011, 123 -128.

AMA Style

Andrea Ajmar, Piero Boccccardo, Fabio Giulio Tonolo. Earthquake damage assessment based on remote sensing data. The Haiti case study. Italian Journal of Remote Sensing. 2011; ():123-128.

Chicago/Turabian Style

Andrea Ajmar; Piero Boccccardo; Fabio Giulio Tonolo. 2011. "Earthquake damage assessment based on remote sensing data. The Haiti case study." Italian Journal of Remote Sensing , no. : 123-128.