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Author | Fabio Ciravegna; Jerry Gao; Chris Ingram; Neil Ireson; Vita Lanfranchi; Humasak Simanjuntak | ||||
Title | Mapping Mobility to Support Crisis Management | Type | Conference Article | ||
Year | 2018 | Publication | ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | Iscram 2018 |
Volume | Issue | Pages | 305-316 | ||
Keywords | GIS, mapping, mobility tracking, large scale data, visual analytics. | ||||
Abstract | In this paper we describe a method and an infrastructure for rapid mapping of mobility patterns, based on a combination of a mobile mobility tracker, a large-scale data collection infrastructure, and a data and visual analytics tool. The combination of the three enables mapping everyday mobility patterns for decision makers, e.g. city council, motorways authorities, etc. and can support emergency responders in improving their preparedness and the recovery in the aftermath of a crisis. The technology is currently employed over very large scale: (i) in England it is used by a public body to incentivise physical mobility (400,000 app downloads and hundreds of millions of data point since September 2017); (ii) in Sheffield UK, through the MoveMore initiative, tracking active mobility of users (5,000 downloads); and (iii) the European project SETA, to track multimodal mobility patterns in three cities (Birmingham, Santander and Turin). | ||||
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Publisher | Rochester Institute of Technology | Place of Publication | Rochester, NY (USA) | Editor | Kees Boersma; Brian Tomaszeski |
Language | English | Summary Language | English | Original Title | |
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Series Volume | Series Issue | Edition | |||
ISSN | 2411-3387 | ISBN | 978-0-692-12760-5 | Medium | |
Track | Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) | Expedition | Conference | ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 2109 | |||
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Author | Michael Auer; Melanie Eckle; Sascha Fendrich; Luisa Griesbaum; Fabian Kowatsch; Sabrina Marx; Martin Raifer; Moritz Schott; Rafael Troilo; Alexander Zipf | ||||
Title | Towards Using the Potential of OpenStreetMap History for Disaster Activation Monitoring | Type | Conference Article | ||
Year | 2018 | Publication | ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | Iscram 2018 |
Volume | Issue | Pages | 317-325 | ||
Keywords | OpenStreetMap, OpenStreetMap History, Disaster management, Humanitarian OpenStreetMap Team, Street network analyses | ||||
Abstract | “Over the last couple of years, the growing OpenStreetMap (OSM) data base repeatedly proved its potential for various use cases, including disaster management. Disaster mapping activations show increasing contributions, but oftentimes raise questions related to the quality of the provided \emph{Volunteered Geographic Information} (VGI). In order to better monitor and understand OSM mapping and data quality, we developed a software platform that applies big data technology to OSM full history data. OSM full history data monitoring allows detailed analyses of the OSM data evolution and the detection of remarkable patterns over time. This paper illustrates the specific potential of the platform for disaster activations by means of two case studies. Initial results demonstrate that our flexible and scalable platform structure enables fast and easy information extraction and supports mapping processes and data quality assurance.” | ||||
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Publisher | Rochester Institute of Technology | Place of Publication | Rochester, NY (USA) | Editor | Kees Boersma; Brian Tomaszeski |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 2411-3387 | ISBN | 978-0-692-12760-5 | Medium | |
Track | Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) | Expedition | Conference | ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 2110 | |||
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Author | Zachary Sutherby; Brian Tomaszewski | ||||
Title | Conceptualizing the Role Geographic Information Capacity has on Quantifying Ecosystem Services under the Framework of Ecological Disaster Risk Reduction (EcoDRR) | Type | Conference Article | ||
Year | 2018 | Publication | ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | Iscram 2018 |
Volume | Issue | Pages | 326-333 | ||
Keywords | Disaster Risk Reduction, Ecosystem Services, Geographic Information Capacity, Hazards. | ||||
Abstract | The use of ecosystems for EcoDRR is a beneficial and a viable option for community stakeholders. For example, ecosystems can mitigate the effects of hazards experienced in anthropogenic communities. Ecosystem services are the underlying reason for this benefit. EcoDRR is the idea of sustainable management, conservation, and restoration of ecosystems to maximize ecosystem services and reduce disaster risks and impacts. The use of geospatial technologies to monitor large-scale ecosystems are often subject to Geographic Information Capacity (GIC), or the ability of ecosystem stakeholders to utilize all existing geographic information, resources, and capacities to monitor ecosystem services. Though these tools are useful, currently there is not a tool that specifically quantifies ecosystem services in the context of DRR. The main contribution of this paper is a conceptual framework intended to quantify ecosystem services in the context of EcoDRR. | ||||
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Corporate Author | Thesis | ||||
Publisher | Rochester Institute of Technology | Place of Publication | Rochester, NY (USA) | Editor | Kees Boersma; Brian Tomaszeski |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 2411-3387 | ISBN | 978-0-692-12760-5 | Medium | |
Track | Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) | Expedition | Conference | ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 2111 | |||
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Author | Vitaveska Lanfranchi; Nadia Noori; Tudor Sirbu | ||||
Title | GPS-based solution for tracking and protecting humanitarians in conflict zones | Type | Conference Article | ||
Year | 2018 | Publication | ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | Iscram 2018 |
Volume | Issue | Pages | 334-349 | ||
Keywords | Humanitarian aid work, Real-time location systems, security threats, threat detections, situational awareness. | ||||
Abstract | The operational environment in which humanitarians operate is unstable and high-risk; when operating in such environments, time becomes a critical factor. Thus, real-time location systems (RTLS) are often deployed in the operational environment to provide awareness of the location of personnel and assets in real-time that would support an informed decision making in the event of responding to emergency. Whilst standard RTLS are very precise, they are not suitable to outdoor spaces; GPS position technology can be used to identify the location of objects and people and to track them. In this paper, first, we present a description of threat scenarios identified based on information from existing security incidents datasets and from interviews with aid workers and security professionals operating in high-risk regions. Second, we describe the implementation of a GPS-based real-time location tracking and alert system for humanitarians operating in conflict zones that supports the identified scenarios. | ||||
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Publisher | Rochester Institute of Technology | Place of Publication | Rochester, NY (USA) | Editor | Kees Boersma; Brian Tomaszeski |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 2411-3387 | ISBN | 978-0-692-12760-5 | Medium | |
Track | Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) | Expedition | Conference | ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 2112 | |||
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Author | Chanvi Kotak; Brian Tomaszewski; Erik Golen | ||||
Title | 3-1-1 Calls Hot Spot Analysis During Hurricane Harvey: Preliminary Results | Type | Conference Article | ||
Year | 2018 | Publication | ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | Iscram 2018 |
Volume | Issue | Pages | 350-361 | ||
Keywords | Hurricane Harvey, 3-1-1 data calls, hot spot analysis. | ||||
Abstract | Hurricane Harvey caused massive damage and necessitated the need for identification of areas under high risk. During Harvey, the city of Houston received more than 77000, 3-1-1 calls for assistance. Due to damage caused to the infrastructure, it became difficult to handle and respond to the crisis. Geographic Information Systems (GIS) is a vital technology to assist with real-time disaster monitoring. we investigated if a correlation could be found between 311 data calls made during the Hurricane Harvey and aerial images captured during the event, specifically to see if 311 data could be ground-truthed via hot spot analysis. Preliminary results indicate that visual representation of 3-1-1 call data can aid in analyzing the expected areas of high traffic of calls for assistance and plan an effective way to manage resources. Future work will involve more in-depth analysis of combined 3-1-1 call data with satellite imagery using image classification techniques. | ||||
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Corporate Author | Thesis | ||||
Publisher | Rochester Institute of Technology | Place of Publication | Rochester, NY (USA) | Editor | Kees Boersma; Brian Tomaszeski |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 2411-3387 | ISBN | 978-0-692-12760-5 | Medium | |
Track | Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) | Expedition | Conference | ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 2113 | |||
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Author | Varsha Hassan Vishwanath; Brian Tomaszewski | ||||
Title | Flood Hazard, Vulnerability, Risk Assessment for Uttarakhand State in India | Type | Conference Article | ||
Year | 2018 | Publication | ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | Iscram 2018 |
Volume | Issue | Pages | 362-375 | ||
Keywords | Flood risk, DEM, GIS, India, Uttarakhand. | ||||
Abstract | The Indian state of Uttarakhand, located in the valleys of the Himalayan Mountains, is severely prone to flash floods. High intense rainfall, slope, river channels are some of the significant factors responsible for flash floods. In this work-in-progress paper, we address these challenges via a geospatial flood risk analysis that utilizes hazard and vulnerability assessments, computed using satellite, hydrologic and demographic data by employing Analytical Hierarchy Process (AHP). The entire analysis was carried out in geosprocesing framework. The resulting maps indicate that flood risk regions have significant correspondence to regions that are highly hazardous and vulnerable. These maps could help in developing better disaster management measures for Uttarakhand. Flash floods still being a globally challenging problem, these methods and results could be used to expand research and improve flash floods prediction and warning systems in many countries. | ||||
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Corporate Author | Thesis | ||||
Publisher | Rochester Institute of Technology | Place of Publication | Rochester, NY (USA) | Editor | Kees Boersma; Brian Tomaszeski |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 2411-3387 | ISBN | 978-0-692-12760-5 | Medium | |
Track | Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) | Expedition | Conference | ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 2114 | |||
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Author | Martin Hilljegerdes; Ellen-Wien Augustijn-Beckers | ||||
Title | Evaluating the effects of consecutive hurricane hits on evacuation patterns in Dominica | Type | Conference Article | ||
Year | 2019 | Publication | Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management | Abbreviated Journal | Iscram 2019 |
Volume | Issue | Pages | |||
Keywords | Agent-based modelling, evacuation simulation, multi-event scenario, NetLogo, OpenStreetMap | ||||
Abstract | The Caribbean island of Dominica is at constant risk of being hit by tropical storms during the hurricane season. Therefore, Dominica and areas in similar situations need to raise their resilience to natural hazards. The potential consequences of climate change intensify this risk. After a hurricane hit, repair of damage to buildings and infrastructure can take several months. As hurricane frequency is increasing and time between hurricanes fluctuates, modeling sequences of hurricane events can help to determine different evacuation strategies. This paper introduces an agent-based model, simulating two hurricane events in one season. The prototype simulates the movement of evacuees over a road network and damage to buildings and infrastructure. Initial results show marked differences between road movements of evacuees during a second evacuation. Although shifts in the average shelter occupation are small (up to 2%) for our case study, this can indicate that adjustments to shelter capacities are necessary. |
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Address | GIScience Research Group, Institute of Geography, Heidelberg University, Germany;Department of Geo-Information Processing, Faculty of Geo-Information Science and Earth Observation,University of Twente, the Netherlands | ||||
Corporate Author | Thesis | ||||
Publisher | Iscram | Place of Publication | Valencia, Spain | Editor | Franco, Z.; González, J.J.; Canós, J.H. |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 2411-3387 | ISBN | 978-84-09-10498-7 | Medium | |
Track | T6- Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) | Expedition | Conference | 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) | |
Notes | Approved | no | |||
Call Number | Serial | 1954 | |||
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Author | Christelle Pierkot; Sidonie Christophe; Jean François Girres | ||||
Title | Exploring multiplexing tools for co-visualization in crisis units | Type | Conference Article | ||
Year | 2019 | Publication | Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management | Abbreviated Journal | Iscram 2019 |
Volume | Issue | Pages | |||
Keywords | geovisualization, multiplexing tools, crisis management. | ||||
Abstract | Natural hazards can generate damages in large inhabited areas in a very short time period. Crisis managers must plan interventions very quickly to facilitate the arrival of the first emergency. In a crisis unit, experts visualize heterogeneous visual representations of spatio-temporal information, in order to facilitate decision-making, based on various types of screens, i.e. laptops, tablets, or wall screens. Visualizing all this information at the same time on the same interface would lead to cognitive overload. In this paper, we assume that it could be of interest to provide innovative co-visualization models and tools, to bring hazard, geospatial and climate information together, in a shared interface. We propose to explore spatial and temporal multiplexing tools within a dedicated geovisualization environment, in order to help expert decision-making. The proposition is implemented with the case study of a tsunami event in the Caribbean sea. |
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Address | Univ. Paul-Valéry Montpellier 3, IRD, UMR GRED 220, F34000 Montpellier, France;Univ. Paris-Est, LASTIG GEOVIS, IGN, ENSG, F-94160 Saint-Mande, France | ||||
Corporate Author | Thesis | ||||
Publisher | Iscram | Place of Publication | Valencia, Spain | Editor | Franco, Z.; González, J.J.; Canós, J.H. |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 2411-3387 | ISBN | 978-84-09-10498-7 | Medium | |
Track | T6- Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) | Expedition | Conference | 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) | |
Notes | Approved | no | |||
Call Number | Serial | 1871 | |||
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Author | Humasak Simanjuntak; Fabio Ciravegna | ||||
Title | Semantic Understanding of Human Mobility Lifestyle to support Crisis Management | Type | Conference Article | ||
Year | 2019 | Publication | Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management | Abbreviated Journal | Iscram 2019 |
Volume | Issue | Pages | |||
Keywords | lifestyle patterns, mobility patterns, semantic annotations, semantic mobility | ||||
Abstract | In this paper, we propose a method for understanding the semantics of mobility (mainly related to lifestyle) patterns based on stay point detection from tracking data. The method identifies the context (trip purpose and visited point of interest) of tracking data by using large-scale data collection infrastructure. We evaluate our method with a tracking dataset in Birmingham (European project SETA) generated by 534 users from September 2017 to September 2018. To this end, we compare insights from the tracking data with check-in mobility in social media. The results show that both data capture rich human lifestyle features related to the visited point of interest. Our study provides solid evidence that lifestyle patterns from tracking and social media data can indeed be useful for understanding and gauging the level of disruption after a crisis, as it is possible to check the deviation of habits from normal conditions and post-crisis. |
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Address | The University of Sheffield, United Kingdom | ||||
Corporate Author | Thesis | ||||
Publisher | Iscram | Place of Publication | Valencia, Spain | Editor | Franco, Z.; González, J.J.; Canós, J.H. |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 2411-3387 | ISBN | 978-84-09-10498-7 | Medium | |
Track | T6- Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) | Expedition | Conference | 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) | |
Notes | Approved | no | |||
Call Number | Serial | 1874 | |||
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Author | Esteban Bopp; Johnny Douvinet; Damien Serre | ||||
Title | Sorting the good from the bad smartphone application to alert residents in case of disasters – Experiments in France | Type | Conference Article | ||
Year | 2019 | Publication | Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management | Abbreviated Journal | Iscram 2019 |
Volume | Issue | Pages | |||
Keywords | Alert, Smartphone application, Major risks | ||||
Abstract | The number of smartphone applications to alert and inform the population in a risk situation in France is too large and these solutions are still unknow by the population. This study proposes an evaluation protocol based on various indicators, which take into account the capacity of the applications to send a targeted alert, their attractiveness, the ability of individuals to emit information and number of hazards considered. The results obtained on 50 applications deployed in France show that very few of them meet the objectives of the alert, in the sense defined by civil security, because of a single-risk approach, a unique sense of communication, and the low acceptance of these solutions by citizens. |
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Address | UMR ESPACE 7300 CNRS, Département de Géographie, Université d'Avignon;Ecosystèmes Insulaires Océaniens, UMR 241, Université de la Polynésie Française | ||||
Corporate Author | Thesis | ||||
Publisher | Iscram | Place of Publication | Valencia, Spain | Editor | Franco, Z.; González, J.J.; Canós, J.H. |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 2411-3387 | ISBN | 978-84-09-10498-7 | Medium | |
Track | T6- Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) | Expedition | Conference | 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) | |
Notes | Approved | no | |||
Call Number | Serial | 1880 | |||
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Author | Jorge Vargas-Florez; Grovher Palomino; Andres Flores; Gloria Valdivia; Carlos Saito; Daniel Arteaga; Mario Balcazar; Miguel Fernandez; José Oliden | ||||
Title | Identifying potential landslide location using Unmanned Aerial Vehicles (UAVs) | Type | Conference Article | ||
Year | 2019 | Publication | Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management | Abbreviated Journal | Iscram 2019 |
Volume | Issue | Pages | |||
Keywords | Susceptibility mapping, disaster prevention, landslides, drones | ||||
Abstract | The impact of landslides is determined by the previous state of vulnerability and susceptibility present in a community. Vulnerability is related to physical aspects and susceptibility is defined as the propensity or tendency of an area to be affected by the occurrence of a given hazard. Knowledge of geography allows us to characterize and measure some of these factors. For example, in landslides called huaicos in Peru, these are related to the existence of a slope and soil type of the hills favorable to the loosening of land masses, as well as the increase in rainfall and the presence of streams. The use of UAVs (Unmanned Aerial Vehicles, commonly called drones) for the identification of susceptibility zones is presented in this paper. The result is positive for using the georeferenced data to identify potential landslide flow using as unique criterion surface slopes. |
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Address | Pontifical Catholic University of Peru, Peru;National University of Engineering, Peru | ||||
Corporate Author | Thesis | ||||
Publisher | Iscram | Place of Publication | Valencia, Spain | Editor | Franco, Z.; González, J.J.; Canós, J.H. |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 2411-3387 | ISBN | 978-84-09-10498-7 | Medium | |
Track | T6- Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) | Expedition | Conference | 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) | |
Notes | Approved | no | |||
Call Number | Serial | 1887 | |||
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Author | Stathis G. Arapostathis | ||||
Title | Instagrammers report about the deadly wildfires of East Attica, 2018, Greece: An introductory analytic assessment for disaster management purposes | Type | Conference Article | ||
Year | 2019 | Publication | Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management | Abbreviated Journal | Iscram 2019 |
Volume | Issue | Pages | |||
Keywords | volunteered geographic information (VGI), Instagram, social media, fires, disasters, disaster management | ||||
Abstract | This article contributes to identifying the capabilities of Instagram when utilized as a source of Volunteered Geographic Information (VGI) for disaster management (DM) purposes. The geographic focus of this research is in the Mediterranean area. As case study, the fire event of East Attica 2018, Greece, was chosen. This major fire occurred on the 23rd of July 2018 and caused the death of 100 people, the injury of additional 164 while the total burnt area was about 1275,9ha. It is the deadliest in modern Greece?s history and the second deadliest at a global level, within the 21st century. About 15000 related photos along with the corresponding captions and timestamps were crawled from Instagram. An initial sample of about 1100, was analyzed, by using a certain methodology divided in certain steps, the most important of which include the classification of the information to certain categories, geo-referencing and the creation of graphs and maps that visualize the processed data. |
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Address | Harokopio Univesrsity, Greece | ||||
Corporate Author | Thesis | ||||
Publisher | Iscram | Place of Publication | Valencia, Spain | Editor | Franco, Z.; González, J.J.; Canós, J.H. |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 2411-3387 | ISBN | 978-84-09-10498-7 | Medium | |
Track | T6- Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) | Expedition | Conference | 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) | |
Notes | Approved | no | |||
Call Number | Serial | 1978 | |||
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Author | Artur Ricardo Bizon; Luciana P. de Araújo Kohler; Adilson Luiz Nicoletti; Fernanda Dal Bosco; Murilo Schramm da Silva; Thales Bohn Pessatti | ||||
Title | Integration statistical systems for land cover mapping in Southern Brazil | Type | Conference Article | ||
Year | 2020 | Publication | ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | Iscram 2020 |
Volume | Issue | Pages | 498-505 | ||
Keywords | Random Forest, Logistic Regression, Classifier, Google Earth Engine, Remote Sensing. | ||||
Abstract | The remote sensing is a way to optimize the process of land cover classification allowing that this process will be by high definition images of satellite. For the research it was used the Google Earth Engine with JavaScript programming language to classify the images, identifying the areas with forest or reforest. It was identified that classifiers Random Forest and Logistic Regression have a high performance in classify the images. From them it was developed functions to process automatically of new images with purpose of classify them in relation to land cover. | ||||
Address | Departamento de Engenharia Florestal -- Universidade Regional de Blumenau; Departamento de Engenharia Florestal -- Universidade Regional de Blumenau; Departamento de Engenharia Florestal -- Universidade Regional de Blumenau;Departamento de Engenharia Florestal -- Universidade Regional de Blumenau; Departamento de Engenharia Florestal -- Universidade Regional de Blumenau; Departamento de Engenharia Florestal -- Universidade Regional de Blumenau | ||||
Corporate Author | Thesis | ||||
Publisher | Virginia Tech | Place of Publication | Blacksburg, VA (USA) | Editor | Amanda Hughes; Fiona McNeill; Christopher W. Zobel |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 978-1-949373-27-47 | ISBN | 2411-3433 | Medium | |
Track | Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) | Expedition | Conference | 17th International Conference on Information Systems for Crisis Response and Management | |
Notes | abizon@furb.br | Approved | no | ||
Call Number | Serial | 2248 | |||
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Author | Tomasz Opach; Jan Ketil Rød; Bjørn Erik Munkvold; Jaziar Radianti; Kristine Steen-Tveit; Lars Ole Grottenberg | ||||
Title | Map-based Interfaces for Common Operational Picture | Type | Conference Article | ||
Year | 2020 | Publication | ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | Iscram 2020 |
Volume | Issue | Pages | 506-516 | ||
Keywords | Common Operational Picture, Situational Awareness, Map-based Interface, Cartographic Design, Cartographic Symbolization. | ||||
Abstract | Common operational picture (COP) map-based interfaces display operational information to support integration of emergency responders. Such interfaces integrate different subsystems and present the resulting information into an overview for enabling situation awareness. Literature shows that they are often developed from non-user-centric perspectives and are defined in technological terms that are not adequately capturing the users' needs. Therefore, the aim of this particular work in progress is to get insight into the features and the role of COP map-based interfaces currently being used in Norway to (1) examine their content, functionality, and design; and (2) to understand how such displays are incorporated into the service context. This study structures the knowledge on map displays that constitute part of the COP services. Using workshop and interviews with the developers and users of existing COP map services, we identify requirements for a common operational symbology and common operational functionality to improve such map services and make them interoperable. | ||||
Address | Norwegian University of Science and Technology / Linköping University; Norwegian University of Science and Technology; University of Agder; University of Agder; University of Agder; University of Stavanger | ||||
Corporate Author | Thesis | ||||
Publisher | Virginia Tech | Place of Publication | Blacksburg, VA (USA) | Editor | Amanda Hughes; Fiona McNeill; Christopher W. Zobel |
Language | English | Summary Language | English | Original Title | |
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Series Volume | Series Issue | Edition | |||
ISSN | 978-1-949373-27-48 | ISBN | 2411-3434 | Medium | |
Track | Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) | Expedition | Conference | 17th International Conference on Information Systems for Crisis Response and Management | |
Notes | tomasz.opach@ntnu.no | Approved | no | ||
Call Number | Serial | 2249 | |||
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Author | Tomasz Opach; Carlo Navarra; Jan Ketil Rød; Tina - Simone Neset | ||||
Title | Towards a Route Planner Supporting Pedestrian Navigation in Hazard Exposed Urban Areas | Type | Conference Article | ||
Year | 2020 | Publication | ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | Iscram 2020 |
Volume | Issue | Pages | 517-528 | ||
Keywords | Pedestrian Navigation, Route Planning, Exposure To Heat, Exposure To Flood, Decision Support System. | ||||
Abstract | This study aims to design a route planner functionality that includes real-time context information from physical sensors and citizen observations to support pedestrian navigation in urban areas exposed to extreme heat and floods. Urban population is growing and people living in urban areas are especially exposed to heat and urban flooding, which are two of the anticipated effects of climate change. Route planning functionality can be of value to individual citizens, especially those with limited mobility, as well as for healthcare professionals and authorities who are responsible for crisis response and management. Although the route planner functionality is to be experimentally implemented in a specific tool with the use of broadly available web technologies and real time data, a major generic outcome is the framework that can be used to develop the functionality as part of a decision support tool of any kind. | ||||
Address | Norwegian University of Science and Technology / Linköping University; Linköping University; Norwegian University of Science and Technology; Linköping University | ||||
Corporate Author | Thesis | ||||
Publisher | Virginia Tech | Place of Publication | Blacksburg, VA (USA) | Editor | Amanda Hughes; Fiona McNeill; Christopher W. Zobel |
Language | English | Summary Language | English | Original Title | |
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Series Volume | Series Issue | Edition | |||
ISSN | 978-1-949373-27-49 | ISBN | 2411-3435 | Medium | |
Track | Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) | Expedition | Conference | 17th International Conference on Information Systems for Crisis Response and Management | |
Notes | tomasz.opach@ntnu.no | Approved | no | ||
Call Number | Serial | 2250 | |||
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Author | Øyvind Hanssen | ||||
Title | Improving Trails from GPS Trackers with Unreliable and Limited Communication Channels | Type | Conference Article | ||
Year | 2021 | Publication | ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | Iscram 2021 |
Volume | Issue | Pages | 489-502 | ||
Keywords | GPS tracking, trails, Search and Rescue, APRS | ||||
Abstract | In this document we explore position tracking in the context of land based search and rescue operations, where we also may have a limited and unreliable communication channel. This is the case when using APRS (amateur radio tracking) in voluntary SAR services in Norway. We have looked more closely into trails of movements and how to plot these on the map to present informative real-time pictures to the incident commanders. A simple scheme is proposed to improve trails by piggybacking positions at the end of regular transmissions.Experiments show that a significant amount of positions are recovered. In some cases this can recover useful information, though it depends on the actual situation. | ||||
Address | Nord University | ||||
Corporate Author | Thesis | ||||
Publisher | Virginia Tech | Place of Publication | Blacksburg, VA (USA) | Editor | Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 978-1-949373-61-5 | ISBN | Medium | ||
Track | Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) | Expedition | Conference | 18th International Conference on Information Systems for Crisis Response and Management | |
Notes | ohanssen@acm.org | Approved | no | ||
Call Number | ISCRAM @ idladmin @ | Serial | 2350 | ||
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Author | Tinghao Zhang; Lida Huang; Tao Chen; Shuo Bai | ||||
Title | GIS Based Emergency Management Framework for Large-scale Events: A Case Study of the Torch Relay Activity | Type | Conference Article | ||
Year | 2021 | Publication | ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | Iscram 2021 |
Volume | Issue | Pages | 503-514 | ||
Keywords | Arcgis, large-scale event, emergency management, epidemic prevention | ||||
Abstract | Due to the high popular concentration of large-scale events, once an emergency (like a stampede) occurs, it will often cause severe casualties. Moreover, since the widespread of the COVID-19, the prevention of the novel coronavirus should also be considered during mass gatherings. How to reduce the probability and potential consequence of emergencies is of great significance. This research designs an emergency management framework using ArcGIS-based geographic information technology for large-scale events. To verify the effectiveness of our framework, we take the Winter Olympic torch relay in university as an example. The paper is mainly divided into two parts, emergency resource allocation and the emergency prevention model. The former part focuses on the site selection of emergency sentries and emergency hospitals during the torch relay. In the latter part, an emergency prevention model is designed for two significant emergencies: stampede and epidemic. | ||||
Address | Tsinghua University; Tsinghua University; Tsinghua University; Tsinghua University; Tsinghua University Hefei | ||||
Corporate Author | Thesis | ||||
Publisher | Virginia Tech | Place of Publication | Blacksburg, VA (USA) | Editor | Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 978-1-949373-61-5 | ISBN | Medium | ||
Track | Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) | Expedition | Conference | 18th International Conference on Information Systems for Crisis Response and Management | |
Notes | zth19@mails.tsinghua.edu.cn | Approved | no | ||
Call Number | ISCRAM @ idladmin @ | Serial | 2351 | ||
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Author | Lucas Dorigueto; Carlos Brumatti; Erick Figueiredo; Jugurta Lisboa-Filho | ||||
Title | A Framework for Landslide Information Management Systems Development | Type | Conference Article | ||
Year | 2021 | Publication | ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | Iscram 2021 |
Volume | Issue | Pages | 515-526 | ||
Keywords | Disaster Information Management Systems, Landslide, Interoperability, Volunteered Geographic Information | ||||
Abstract | Volunteered Geographic Information (VGI) integrated with Disaster Information Management Systems (DIMS) has great potential to assist managers and the community in times of emergency. However, there is little research focusing on integrating VGI with DIMS, in addition, there are a lack of use of standards of interoperability and emergency, which can impair interoperability and the quality of the information contained in these systems. This work presents a fully interoperable framework aimed at the construction of DIMS, which integrates official data and VGI through ISO and OGC standards, allowing managers and the community to work with official data and VGI in order to assist managers in decision making. To show the viability of the framework, a case study using data from the risk situation of dams located in the municipality of Barão de Cocais in Brazil was carried out. | ||||
Address | Universidade Federal de Viçosa (UFV); Universidade Federal de Viçosa (UFV); Universidade Federal de Viçosa (UFV); Universidade Federal de Viçosa (UFV) | ||||
Corporate Author | Thesis | ||||
Publisher | Virginia Tech | Place of Publication | Blacksburg, VA (USA) | Editor | Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 978-1-949373-61-5 | ISBN | Medium | ||
Track | Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) | Expedition | Conference | 18th International Conference on Information Systems for Crisis Response and Management | |
Notes | lucas.dorigueto@ufv.br | Approved | no | ||
Call Number | ISCRAM @ idladmin @ | Serial | 2352 | ||
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Author | Jingxian Wang; Lida Huang; Guofeng Su; Tao Chen; Chunhui Liu; Xiaomeng Wang | ||||
Title | UAV and GIS Based Real-time Display System for Forest Fire | Type | Conference Article | ||
Year | 2021 | Publication | ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | Iscram 2021 |
Volume | Issue | Pages | 527-535 | ||
Keywords | forest fire, forest fire boundary extraction, UAV, GIS, 3D modeling | ||||
Abstract | When a forest fire occurs, the commander cannot obtain information in time, and the rescue command is like groping in the dark. In order to solve the problem, this research establishes a real-time forest fire display system based on UAV and GIS. The UAV is equipped with visible light and thermal imaging cameras to transmit back forest fire scenes in real time. Based on GIS, the system can extract the boundary of the fire field through image processing and 3D modeling technology, and display various forest fire information on the screen. Through image processing and 3D modeling technology, the boundary of the fire field can be extracted and displayed on the screen. We conducted several experiments to test the accuracy and the reliability of the system. The result shows that the accuracy, reliability and real-time capability can be guaranteed in small-scale forest fires. | ||||
Address | Tsinghua university; Tsinghua university; Tsinghua university; Tsinghua university; Beijing Global Safety Technology Co., Ltd.; Beijing Global Safety Technology Co., Ltd. | ||||
Corporate Author | Thesis | ||||
Publisher | Virginia Tech | Place of Publication | Blacksburg, VA (USA) | Editor | Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 978-1-949373-61-5 | ISBN | Medium | ||
Track | Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) | Expedition | Conference | 18th International Conference on Information Systems for Crisis Response and Management | |
Notes | 690069938@qq.com | Approved | no | ||
Call Number | ISCRAM @ idladmin @ | Serial | 2353 | ||
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Author | Zainab Akhtar; Ferda Ofli; Muhammad Imran | ||||
Title | Towards Using Remote Sensing and Social Media Data for Flood Mapping | Type | Conference Article | ||
Year | 2021 | Publication | ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | Iscram 2021 |
Volume | Issue | Pages | 536-551 | ||
Keywords | Flood mapping, social media, Satellite imagery, Remote sensing | ||||
Abstract | Ghana's capital, the Greater Accra Metropolitan Area (GAMA) is most vulnerable to flooding due to its high population density. This paper proposes the fusion of satellite imagery, social media, and geospatial data to derive near real-time (NRT) flood maps to understand human activity during a disaster and the extent of infrastructure damage. To that end, the paper presents an automatic thresholding technique for NRT flood mapping using Sentinel-1 images where four different speckle filters are compared using the VV, VH and VV/VH polarization to determine the best polarization(s) for delineating flood extents. The VV and VH bands together on Perona-Malik filtered images achieved the highest accuracy with an F1-score of 81.6%. Moreover, all tweet text and images were found to be located in flooded regions or in very close proximity to a flooded region, thus allowing crisis responders to better understand vulnerable communities and what humanitarian action is required. | ||||
Address | Qatar Computing Research Institute; Qatar Computing Research Institute; Qatar Computing Research Institute | ||||
Corporate Author | Thesis | ||||
Publisher | Virginia Tech | Place of Publication | Blacksburg, VA (USA) | Editor | Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 978-1-949373-61-5 | ISBN | Medium | ||
Track | Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) | Expedition | Conference | 18th International Conference on Information Systems for Crisis Response and Management | |
Notes | zakhtar@hbku.edu.qa | Approved | no | ||
Call Number | ISCRAM @ idladmin @ | Serial | 2354 | ||
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Author | Tim-Jonathan Huyeng; Timo Bittner; Uwe Rüppel | ||||
Title | Examining the Feasibility of LoRa-based Monitoring in Large-scale Disaster Response Scenarios | Type | Conference Article | ||
Year | 2022 | Publication | ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | Iscram 2022 |
Volume | Issue | Pages | 541-550 | ||
Keywords | LoRa; LPWAN; disaster response; sensor technology; monitoring | ||||
Abstract | Following a natural disaster or other large-scale events which require emergency response assessing and monitoring the situation at hand is of critical importance. However, some infrastructure that is often relied upon such as cellular service or the power grid might be temporarily disrupted or entirely unavailable. In order to be able to still transmit relevant monitoring data gathered from sensors, the use of a low-cost LPWAN with LoRa modulation technique is suggested in the approach presented here. Combined with an analysis of disaster response in Germany the relevant aspects are consolidated in a concept utilizing LoRaWAN with a ChirpStack backend that is easy to set up and entirely independent of external infrastructure. The proposed addition which aims to support disaster control management in Germany is then tested in conjunction with a fictional flooding scenario where an area is monitored with autarkic sensors using LoRaWAN technology. | ||||
Address | Technische Universität Darmstadt; Technische Universität Darmstadt; Technische Universität Darmstadt | ||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Tarbes, France | Editor | Rob Grace; Hossein Baharmand | |
Language | English | Summary Language | Original Title | ||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 2411-3387 | ISBN | 978-82-8427-099-9 | Medium | |
Track | Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) | Expedition | Conference | ||
Notes | Approved | no | |||
Call Number | ISCRAM @ idladmin @ | Serial | 2438 | ||
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