|   | 
Details
   web
Records
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).
Address
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 (up)
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
Share this record to Facebook
 

 
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.”
Address
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 (up)
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
Share this record to Facebook
 

 
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.
Address
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 (up)
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
Share this record to Facebook
 

 
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.
Address
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 (up)
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
Share this record to Facebook
 

 
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.
Address
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 (up)
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
Share this record to Facebook
 

 
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.
Address
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 (up)
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
Share this record to Facebook
 

 
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.
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 (up)
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
Share this record to Facebook
 

 
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.
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 (up)
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
Share this record to Facebook
 

 
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.
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 (up)
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
Share this record to Facebook
 

 
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.
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 (up)
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
Share this record to Facebook
 

 
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.
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 (up)
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
Share this record to Facebook
 

 
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.
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 (up)
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
Share this record to Facebook
 

 
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 (up)
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
Share this record to Facebook
 

 
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
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 978-1-949373-27-48 ISBN 2411-3434 Medium (up)
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
Share this record to Facebook
 

 
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
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 978-1-949373-27-49 ISBN 2411-3435 Medium (up)
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
Share this record to Facebook
 

 
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 (up)
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
Share this record to Facebook
 

 
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 (up)
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
Share this record to Facebook
 

 
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 (up)
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
Share this record to Facebook
 

 
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 (up)
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
Share this record to Facebook
 

 
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 (up)
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
Share this record to Facebook
 

 
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 (up)
Track Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) Expedition Conference
Notes Approved no
Call Number ISCRAM @ idladmin @ Serial 2438
Share this record to Facebook