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Author |
Margunn Indreboe Alshaikh; Helena Puig Larrauri |
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Title |
Building resilience through crisis mapping, community engagement and recovery planning in Sudan |
Type |
Conference Article |
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Year |
2012 |
Publication |
ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2012 |
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Pages |
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Keywords |
Coordination reactions; Disasters; Information systems; Recovery; Building community; Complex emergencies; Conflict; Conflicting priorities; Coordination; Crisis mappings; Fragility; Local ownership; Participatory methodology; Resilience; Responsiveness; Weak evidence-base; Mapping |
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Abstract |
Understanding that disasters and conflicts do not occur in a vacuum, but are integrally linked to the broader context in which they take place, building resilience within both state and society structures becomes a crucial tool to speed recovery and lessen the likelihood of recurrence as local and institutional capacities are put in place to respond to, manage and reduce emerging risks. Since, 2008, United Nations Development Programme in Sudan has through its Crisis and Recovery Mapping and Analysis Project been developing a participatory mapping and analysis methodology to enhance crisis responsiveness and evidence-based strategic planning both within the United Nations system and national government. Using innovative technologies and GIS, sensitive issues are contextualized and depoliticized through novel correlations and visualisations, allowing previously contesting state and society actors to jointly identify priorities for intervention and response. The process has fostered an open dialogue, strengthening the capacities of local actors to respond to emerging crises in a timely and appropriate manner. Participatory mapping has thus become a key tool in managing complexities in peacebuilding and recovery in post-crisis settings. © 2012 ISCRAM. |
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Address |
Crisis and Recovery Mapping and Analysis (CRMA), Conflict Reduction Programme (CRP), UNDP Sudan, Gama'a Avenue House 7 – Block 5, P.O. Box 913, Khartoum, Sudan |
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Thesis |
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Publisher |
Simon Fraser University |
Place of Publication |
Vancouver, BC |
Editor |
L. Rothkrantz, J. Ristvej, Z.Franco |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780864913326 |
Medium |
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Track |
Special Session Mixed Methods |
Expedition |
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Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Approved |
no |
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Call Number |
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Serial |
72 |
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Author |
Amelie Grangeat; Floriane Brill; Stephane Raclot; Emmanuel Lapebie |
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Title |
Mapping of Areas Presenting Specific Risks to Firefighters due to Buried Technical Networks |
Type |
Conference Article |
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Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
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Pages |
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Keywords |
Firefighters Specific Risks; Vulnerability Mapping; Territory Analysis; GIS Method |
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Abstract |
Vehicles or freight cars on fire below a bridge or inside a tunnel are exceptional events and imply difficult intervention conditions for firefighters. A buried technical network like high voltage electricity line, gas or steam pipeline around such a fire causes additional specifics risks. Vulnerability areas for firefighters are defined as zones where both factors exist: a difficult incident area – like tunnels or bridges over roads/railway lines ? together with a specific risk like buried networks. These areas require intervention teams with specific emergency response capabilities. The present paper proposes a method developed for the Paris Fire Brigade for vulnerability mapping. Results aim at being used by their decision support system dedicated to the mobilization of intervention teams. On the long term, it could improve the allocation of specific responses capabilities intervention teams as soon as the emergency call is treated. Results are debated from an operational point of view. |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3437 |
ISBN |
978-84-608-7984-58 |
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Track |
Geospatial Data and Geographical Information Science |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
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Approved |
no |
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Call Number |
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Serial |
1377 |
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Author |
Einar Bjørgo |
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Title |
Satellite imagery and GIS for disaster response & management in the United Nations: The UNOSAT approach |
Type |
Conference Article |
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Year |
2004 |
Publication |
Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2004 |
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Volume |
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Issue |
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Pages |
105-110 |
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Keywords |
Disaster prevention; Disasters; Geographic information systems; Human resource management; Information management; Information systems; Remote sensing; Satellite imagery; Space optics; Charter; Gmoss; Rapid mapping; Respond; United Nations; Emergency services |
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Abstract |
Remote sensing and Geographic Information Systems (GIS) have the potential to provide United Nations (UN) humanitarian agencies and their partners with much needed disaster related information and improved management of resources. However, the technical nature of these tools requires considerable expertise to fully benefit from satellite images and related geographic information. The UN Office for Project Services (UNOPS) is implementing the UNOSAT service on behalf of the UN Institute on Training and Research (UNITAR) together with several private actors. UNOSAT provides the UN and its partners with the expertise in Earth Observation (EO) and GIS applications. As a crisis is part of a spectrum of disaster related events, UNOSAT provides services in all phases of humanitarian assistance, including planning, crisis response, relief and development. UNOSAT's objectives are to facilitate the territory planning and monitoring processes of local authorities, local technicians, development project managers and humanitarian field operators working in coordination with or within the framework of UN activities, on issues such as disaster management, risk prevention, peace keeping operations, post conflict reconstruction, environmental rehabilitation and social and economic development. A key part of this work is to accelerate and expand the use of accurate geographic information derived from EO-satellite imagery. UNOSAT is also involved in several international initiatives aimed at improved crisis response and management, such as the International Charter “Space and Major Disasters”, an important asset in providing timely information to relief personnel on the ground. By working closely with its UN sister agencies, UNOPS/UNOSAT offers a one-stop-shop for satellite imagery and GIS services related to disaster response & management within the United Nations. © Proceedings ISCRAM 2004. |
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Address |
United Nations Office for Project Services (UNOPS), UNOSAT, CERN DIV IT/DI/UN, CH-1211, Geneva, Switzerland |
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Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Brussels |
Editor |
B. Van de Walle, B. Carle |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9076971080 |
Medium |
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Track |
Conference Keynote |
Expedition |
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Conference |
1st International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
81 |
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Author |
Bruna Diirr; Vânia de Oliveira Neves; Marcus Vinícius Vasconcelos de Almeida Cunha; Ana Beatriz Kapps dos Reis; Jairo Francisco de Souza |
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Title |
Software Requirements for Disaster Management Systems |
Type |
Conference Article |
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Year |
2021 |
Publication |
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2021 |
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Volume |
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Issue |
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Pages |
1042-1054 |
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Keywords |
Software Requirements, Systematic Literature Mapping, Repository Mining, Disaster Management Systems |
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Abstract |
Disasters are a major global problem and a serious threat to sustainable development. In this context, the development of disaster management systems becomes a complex activity, both due to the unpredictability of the events to be treated and the difficulty in extracting or identifying these systems users' needs (requirements). This study aims to understand the requirements usually elicited for disaster management systems and how such requirements are identified. Thus, a systematic mapping of literature (SM) and an open-source repository mining (RM) were performed. Results bring benefits both to academics and practitioners, as detail several characteristics of disaster management systems that could assist these systems development and decision-making, besides providing inputs to guide further research. |
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Address |
Universidade Federal do Estado do Rio de Janeiro; Universidade Federal Fluminense; Universidade Federal de Juiz de Fora; Universidade Federal de Juiz de Fora; Federal University of Juiz de Fora |
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Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
978-1-949373-61-5 |
ISBN |
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Medium |
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Track |
Other |
Expedition |
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Conference |
18th International Conference on Information Systems for Crisis Response and Management |
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Notes |
bruna.diirr@uniriotec.br |
Approved |
no |
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Call Number |
ISCRAM @ idladmin @ |
Serial |
2395 |
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Author |
Aaron Burgman; Nikhil Kalghatgi; Erika Darling; Chris M. Newbern; Kristine Recktenwald; Shawn Chin; Howard Kong |
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Title |
Emergency data analysis via semantic lensing |
Type |
Conference Article |
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Year |
2006 |
Publication |
Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2006 |
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Volume |
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Issue |
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Pages |
334-338 |
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Keywords |
Information systems; Semantics; Analysis; Completion time; Decision makers; Emergency preparedness and response; Emergency situation; Filtering strategies; Information visualization; Mapping softwares; Emergency services |
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Abstract |
Emergency situations often play out over extended geographic regions and can present response personnel with numerous types of data at various level of detail. Such data may be displayed in mapping software tools that organize the data into layers. Sufficiently complex scenarios can result in dense, occluded, and cluttered map displays. We investigated a localized, detail-on-demand filtering strategy called semantic lensing that in certain situations provides a more efficient and desirable approach than filtering global layers for mitigating clutter and occlusion. An initial formal user study with these semantic lenses has shown their value in aiding decision makers during tasks that might occur during detection of and response to emergency situations. Completion times are significantly faster when using lenses, and workloads are significantly lower. Future work will evaluate additional features and task-specific applicability, and may support the distribution of such a lens tool to emergency preparedness and response personnel. |
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Address |
MITRE Corporation, United States |
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Corporate Author |
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Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Newark, NJ |
Editor |
B. Van de Walle, M. Turoff |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9090206019; 9789090206011 |
Medium |
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Track |
VISUALIZATION IN EMERGENCY MANAGEMENT |
Expedition |
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Conference |
3rd International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
352 |
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Author |
Carolin Klonner; Melanie Eckle; Tomás Usón; Bernhard Höfle |
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Title |
Quality Improvement of Remotely Volunteered Geographic Information via Country-Specific Mapping Instructions |
Type |
Conference Article |
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Year |
2017 |
Publication |
Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2017 |
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Issue |
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Pages |
939-947 |
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Keywords |
OpenStreetMap; country-specific mapping instructions; VGI; quality; disaster |
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Abstract |
Volunteered geographic information can be seen as valuable data for various applications such as within disaster management. OpenStreetMap data, for example, are mainly contributed by remote mappers based on satellite imagery and have increasingly been implemented in response actions to various disasters. Yet, the quality often depends on the local and country-specific knowledge of the mappers, which is required for performing the mapping task. Hence, the question is raised whether there is a possibility to train remote mappers with country-specific mapping instructions in order to improve the quality of OpenStreetMap data. An experiment is conducted with Geography students to evaluate the effect of additional material that is provided in wiki format. Furthermore, a questionnaire is applied to collect participants' socio-demographic information, mapping experience and feedback about the material. This pre-study gives hints for future designs of country-specific mapping instructions as well as the experiment design itself. |
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Address |
Institute of Geography, Heidelberg, Germany; Heidelberg Academy of Sciences and Humanities (HAW), Heidelberg, Germany; Heidelberg Center for the Environment (HCE), Heidelberg, Germany |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Albi, France |
Editor |
Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
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Medium |
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Track |
Prevention and Preparation |
Expedition |
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Conference |
14th International Conference on Information Systems for Crisis Response And Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
2078 |
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Author |
Jennifer L Chan; Robert Colombo; Altaf Musani |
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Title |
Mapping libyan health facilities – A collaboration between crisis mappers and the world health organization |
Type |
Conference Article |
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Year |
2012 |
Publication |
ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2012 |
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Volume |
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Issue |
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Pages |
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Keywords |
Geographic information systems; Information systems; Mapping; Crisis mappings; Geographic information; Health facilities; Health organizations; Health systems; Planning phasis; World Health Organization; Health |
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Abstract |
This practitioner report describes a recent example of the growing opportunities between humanitarian health organizations and the crisis mapping community. The World Health Organization (WHO) partnered with volunteer crisis mappers to quickly collect information and map over 600 health facilities after the 2011 Libya Crisis. This new collaboration between WHO staff, volunteers, technologists, GIS specialists, health cluster partners and a researcher helped provide health and geographic information to support the planning phases of an in-depth countrywide health facility assessment. Outcomes of this collaboration will also aid recovery and reconstructions efforts for the Libyan health system. © 2012 ISCRAM. |
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Address |
Harvard Humanitarian Initiative, Northwestern University, United States; World Health Organization, Mediterranean Centre, United States |
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Corporate Author |
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Thesis |
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Publisher |
Simon Fraser University |
Place of Publication |
Vancouver, BC |
Editor |
L. Rothkrantz, J. Ristvej, Z.Franco |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780864913326 |
Medium |
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Track |
Humanitarian Challenges |
Expedition |
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Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
91 |
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Author |
Tom De Groeve; Patrick Riva |
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Title |
Early flood detection and mapping for humanitarian response |
Type |
Conference Article |
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Year |
2009 |
Publication |
ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives |
Abbreviated Journal |
ISCRAM 2009 |
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Volume |
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Issue |
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Pages |
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Keywords |
Image processing; Information systems; Mapping; Time series; Early warning; Flood detections; Flood mapping; Humanitarian response; Passive microwave remote sensing; Floods |
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Abstract |
Space-based river monitoring can provide a systematic, timely and impartial way to detect floods of humanitarian concern. This paper presents a new processing method for such data, resulting in daily flood magnitude time series for any arbitrary observation point on Earth, with lag times as short as 4h. Compared with previous work, this method uses image processing techniques and reduces the time to obtain a 6 year time series for an observation site from months to minutes, with more accurate results and global coverage. This results in a daily update of major floods in the world, with an objective measure for their magnitude, useful for early humanitarian response. Because of its full coverage, the grid-based technique also allows the automatic creation of low-resolution flood maps only hours after the satellite passes, independent of cloud coverage. |
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Address |
Joint Research Center, European Commission, Italy |
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Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Gothenburg |
Editor |
J. Landgren, S. Jul |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789163347153 |
Medium |
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Track |
Human-Computer Interaction |
Expedition |
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Conference |
6th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
428 |
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Author |
Enrique Caballero; Angel Madridano; Dimitrios Sainidis; Konstantinos Konstantoudakis; Petros Daras; Pablo Flores |
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Title |
An automated UAV-assisted 2D mapping system for First Responders |
Type |
Conference Article |
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Year |
2021 |
Publication |
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2021 |
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Volume |
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Issue |
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Pages |
890-902 |
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Keywords |
UAV, drone, 2D Mapping, Swarm, First Responders, Emergency Operations |
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Abstract |
Recent advances in the Unmanned Aerial Vehicles (UAVs) sector have allowed such systems to carry a range of sensors, thus increasing their versatility and adaptability to a wider range of tasks and services. Furthermore, the agility of these vehicles allows them to adapt to rapidly changing environments making them an effective tool for emergency situations. A single UAV, or a swarm working in collaboration, can be a handy and helpful tool for First Responders (FRs) during mission planning, mission monitoring, and the tracking of evolving risks. UAVs, with their on-board sensors, can, among other things, capture visual information of the disaster scene in a safe and quick manner, and generate an up-to-date map of the area. This work presents a system for UAV-assisted mapping optimized for FRs, including the generation of routes for the UAVs to follow, data collection and processing, and map generation. |
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Address |
Drone Hopper; Drone Hopper; Centre for Research & Technology, CERTH; Centre for Research & Technology, CERTH; Centre for Research & Technology, CERTH; Drone Hopper |
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Corporate Author |
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Thesis |
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Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
978-1-949373-61-5 |
ISBN |
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Medium |
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Track |
Technologies for First Responders |
Expedition |
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Conference |
18th International Conference on Information Systems for Crisis Response and Management |
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Notes |
e.caballero@drone-hopper.com |
Approved |
no |
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Call Number |
ISCRAM @ idladmin @ |
Serial |
2381 |
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Author |
Fabio Ciravegna; Jerry Gao; Chris Ingram; Neil Ireson; Vita Lanfranchi; Humasak Simanjuntak |
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Title |
Mapping Mobility to Support Crisis Management |
Type |
Conference Article |
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Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
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Volume |
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Issue |
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Pages |
305-316 |
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Keywords |
GIS, mapping, mobility tracking, large scale data, visual analytics. |
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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 |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
Medium |
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Track |
Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
2109 |
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Author |
Fatehkia, M.; Imran, M.; Weber, I. |
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Title |
Towards Real-time Remote Social Sensing via Targeted Advertising |
Type |
Conference Article |
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Year |
2023 |
Publication |
Proceedings of the 20th International ISCRAM Conference |
Abbreviated Journal |
Iscram 2023 |
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Volume |
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Issue |
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Pages |
396-406 |
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Keywords |
Remote Social Sensing; Real-Time Polling; Flood Mapping; Facebook Advertising |
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Abstract |
Social media serves as an important communication channel for people affected by crises, creating a data source for emergency responders wanting to improve situational awareness. In particular, social listening on Twitter has been widely used for real-time analysis of crisis-related messages. This approach, however, is often hindered by the small fraction of (hyper-)localized content and by the inability to explicitly ask affected populations about aspects with the most operational value. Here, we explore a new form of social media data collected through targeted poll ads on Facebook. Using geo-targeted ads during flood events in six countries, we show that it is possible to collect thousands of poll responses within hours of launching the ad campaign, and at a cost of a few (US dollar) cents per response. We believe that this flexible, fast, and affordable data collection can serve as a valuable complement to existing approaches. |
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Address |
Qatar Computing Research Institute; Qatar Computing Research Institute; Saarland Informatics Campus |
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Thesis |
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Publisher |
University of Nebraska at Omaha |
Place of Publication |
Omaha, USA |
Editor |
Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
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Language |
English |
Summary Language |
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Original Title |
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Series Editor |
Hosssein Baharmand |
Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
1 |
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ISSN |
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ISBN |
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Medium |
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Track |
Social Media for Crisis Management |
Expedition |
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Conference |
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Notes |
http://dx.doi.org/10.59297/NEFN8739 |
Approved |
no |
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Call Number |
ISCRAM @ idladmin @ |
Serial |
2534 |
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Author |
Sérgio Freire; Christoph Aubrecht |
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Title |
Assessing spatio-temporal population exposure to tsunami hazard in the Lisbon Metropolitan Area |
Type |
Conference Article |
|
Year |
2011 |
Publication |
8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 |
Abbreviated Journal |
ISCRAM 2011 |
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Volume |
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Issue |
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Pages |
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Keywords |
Hazards; Information systems; Mapping; Population distribution; Population statistics; Land use and land cover; Lisbon; Metropolitan area; Population exposure; Spatio-temporal; Spatiotemporal distributions; Tsunami hazards; Tsunami inundation; Tsunamis |
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Abstract |
The coastal region of Lisbon, Portugal, is potentially subject to tsunami hazard. Mapping and assessing tsunami risk requires giving adequate consideration to the population exposure. In the present work we model and map the spatio-temporal distribution of population in the daily cycle and analyze it with a tsunami hazard map to better assess tsunami risk in the Lisbon Metropolitan Area. New high-resolution daytime and nighttime population distribution surfaces are developed using 'intelligent dasymetric mapping' to combine best-available census data and statistics with land use and land cover data. Mobility statistics are considered for mapping daytime distribution. Finally, the population distribution maps are combined with the Tsunami Inundation Susceptibility map to assess potential human exposure to tsunami in daytime and nighttime periods. Results show that a significant amount of population is potentially at risk, and its numbers increase from nighttime to daytime, especially in the zones of high susceptibility. |
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Address |
New University of Lisbon, E-GEO, Geography and Regional Planning Research Center, Portugal; AIT Austrian Institute of Technology, Foresight and Policy Development Department, Austria |
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Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Lisbon |
Editor |
M.A. Santos, L. Sousa, E. Portela |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789724922478 |
Medium |
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Track |
Geographic Information Science |
Expedition |
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Conference |
8th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
|
Serial |
511 |
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Author |
Giulio Palomba; Alessandro Farasin; Claudio Rossi |
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Title |
Sentinel-1 Flood Delineation with Supervised Machine Learning |
Type |
Conference Article |
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Year |
2020 |
Publication |
ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2020 |
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Volume |
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Issue |
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Pages |
1072-1083 |
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Keywords |
Floods, Mapping, Deep Learning, Copernicus EMS, Sentinel-1, SAR. |
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Abstract |
Floods are one of the major natural hazards in terms of affected people and economic damages. The increasing and often uncontrolled urban sprawl together with climate change effects will make future floods more frequent and impacting. An accurate flood mapping is of paramount importance in order to update hazard and risk maps and to plan prevention measures. In this paper, we propose the use of a supervised machine learning approach for flood delineation from satellite data. We train and evaluate the proposed algorithm using Sentinel-1 acquisition and certified flood delineation maps produced by the Copernicus Emergency Management Service across different geographical regions in Europe, achieving increased performances against previously proposed supervised machine learning approaches for flood mapping. |
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Address |
LINKS Foundation – DSISA dept.; Politecnico di Torino – DAUIN dept. and LINKS Foundation – DSISA dept.; LINKS Foundation – DSISA dept. |
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Corporate Author |
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Thesis |
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Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Amanda Hughes; Fiona McNeill; Christopher W. Zobel |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
|
Edition |
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ISSN |
978-1-949373-27-97 |
ISBN |
2411-3483 |
Medium |
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Track |
Using Artificial Intelligence to exploit Satellite Data in Risk and Crisis Management |
Expedition |
|
Conference |
17th International Conference on Information Systems for Crisis Response and Management |
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Notes |
giulio.palomba@linksfoundation.com |
Approved |
no |
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|
Call Number |
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Serial |
2298 |
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Author |
Gonzalez, J.J.; Eden, C. |
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Title |
Devising Mitigation Strategies With Stakeholders Against Systemic Risks in a Pandemic |
Type |
Conference Article |
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Year |
2023 |
Publication |
Proceedings of the 20th International ISCRAM Conference |
Abbreviated Journal |
Iscram 2023 |
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Volume |
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Issue |
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Pages |
1000-1013 |
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Keywords |
Systemic Risk, Cascading Effects; Participatory Modelling; Strategy Mapping; Vicious Cycles; Risk System Analysis; Risk Mitigation. |
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Abstract |
Understanding and managing systemic risk has huge importance for disaster risk reduction in our globally connected world. The COVID-19 pandemic is a prominent case for the global impact of systemic risk. Did so the added urgency of the pandemic systemic risk trigger such paradigm shift? The use of qualitative modelling of systemic risk has progressed the field, particularly when policy makers need support urgently and want to utilize a range of interdisciplinary expertise. We have extended to disaster risk reduction a method for causal mapping for problem solving and strategy development targeting complex project management. Our approach delivers useful, useable, and used mitigation to systemic risk in a pandemic using participatory modelling with practitioners, domain experts and power-brokers. |
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Address |
Department of ICT, Faculty of Engineering and Science, Centre for Integrated Emergency Management (CIEM), University of Agder; Strathclyde Business School |
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Corporate Author |
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Thesis |
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Publisher |
University of Nebraska at Omaha |
Place of Publication |
Omaha, USA |
Editor |
Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
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Language |
English |
Summary Language |
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Original Title |
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Series Editor |
Hosssein Baharmand |
Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
1 |
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ISSN |
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ISBN |
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Medium |
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Track |
Open Track |
Expedition |
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Conference |
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Notes |
http://dx.doi.org/10.59297/ALXR6340 |
Approved |
no |
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Call Number |
ISCRAM @ idladmin @ |
Serial |
2583 |
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Author |
Iftikhar Ali; Vahid Freeman; Senmao Cao; Wolfgang Wagner |
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Title |
Sentinel-1 Based Near-Real Time Flood Mapping Service |
Type |
Conference Article |
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Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
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Volume |
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Issue |
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Pages |
1074-1080 |
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Keywords |
Sentinel-1, EODC, Flood mapping service, SAR, Azure Service Bus. |
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Abstract |
Globally floods are categorized as one of most devastating natural disasters and annually causing a major loss to human lives and economy. For rapid damage assessment and planning relief activities a large scale spatio-temporal overview is required to assist local authorities. This paper aims to provide an overview of a Sentinel-1 based near-real time flood mapping/monitoring service; which is implemented as an operational service under the framework of I-REACT (Improving Resilience to Emergencies through Advanced Cyber Technologies) project. |
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Address |
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Corporate Author |
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Thesis |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
Medium |
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Track |
1st International Workshop on Intelligent Crisis Management Technologies for Climate Events (ICMT) |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
2179 |
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Author |
Jorge Vargas-Florez; Grovher Palomino; Andres Flores; Gloria Valdivia; Carlos Saito; Daniel Arteaga; Mario Balcazar; Miguel Fernandez; José Oliden |
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Title |
Identifying potential landslide location using Unmanned Aerial Vehicles (UAVs) |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Volume |
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Issue |
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Pages |
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Keywords |
Susceptibility mapping, disaster prevention, landslides, drones |
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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 |
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Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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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) |
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Notes |
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Approved |
no |
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Call Number |
|
Serial |
1887 |
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Author |
Katrina Petersen |
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Title |
Visualizing Risk: making sense of collaborative disaster mapping |
Type |
Conference Article |
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Year |
2015 |
Publication |
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2015 |
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Volume |
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Issue |
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Pages |
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Keywords |
Collaboration; Communication; Crisis Mapping; Risk; Wildfire |
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Abstract |
This paper examines the relationship between collaborative disaster mapping and conceptions of risk. It looks at improvised mapmaking during the 2007 wildfires in Southern California to identify and analyze social and technological issues in creating a shared understanding through collaboration. By comparing and contrasting two different, yet intertwined, mapping practices this paper focuses on how the distribution of social and technological actors change how risk, threat, and uncertainty are approached. One, more centralized mapmaking collaboration produced risks related to managing authority and security. The other, more distributed collaboration, produced risks related to public trust and safety. This paper argues that map-making is characterized as a messy, distributed network of knowledge production in which the meaning of risk emerges through the unplanned collaborations that evolve as those involved work to make sense of the wildfires, not as an a-priori definition. |
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Address |
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Corporate Author |
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Thesis |
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Publisher |
University of Agder (UiA) |
Place of Publication |
Kristiansand, Norway |
Editor |
L. Palen; M. Buscher; T. Comes; A. Hughes |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9788271177881 |
Medium |
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Track |
Ethical, Legal and Social Issues |
Expedition |
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Conference |
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management |
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Notes |
|
Approved |
no |
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|
Call Number |
|
Serial |
1197 |
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Author |
Laura Laguna Salvadó; Matthieu Lauras; Tina Comes |
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Title |
Humanitarian Value Stream Mapping: Application to the EBOLA Outbreak |
Type |
Conference Article |
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Year |
2015 |
Publication |
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2015 |
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Volume |
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Issue |
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Pages |
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Keywords |
Decision-Makers; Ebola Outbreak; Humanitarian Supply Chain; Value Stream Mapping |
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Abstract |
Humanitarian Supply Chain Management serves as bridge between needs and aid provided. Flows of goods and information connect the field to headquarters, distribution to procurement, beneficiaries to donors. The problems of decision-making, information sharing and coordination can be studied with this special logistics focus. We present a Value Stream Mapping approach that provides a structure to analyze and understand the problems arising in practice, such as bottlenecks; waiting times; or misaligned procurement and distribution policies. We demonstrate our lean-management approach by using the ongoing Ebola Outbreak in West Africa as Case Study. |
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Address |
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Corporate Author |
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Thesis |
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Publisher |
University of Agder (UiA) |
Place of Publication |
Kristiansand, Norway |
Editor |
L. Palen; M. Buscher; T. Comes; A. Hughes |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9788271177881 |
Medium |
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Track |
Decision Support Systems |
Expedition |
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Conference |
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management |
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Notes |
|
Approved |
yes |
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Call Number |
|
Serial |
1283 |
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Author |
Melanie Eckle; João Porto de Albuquerque |
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Title |
Quality Assessment of Remote Mapping in OpenStreetMap for Disaster Management Purposes |
Type |
Conference Article |
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Year |
2015 |
Publication |
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2015 |
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Volume |
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Issue |
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Pages |
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Keywords |
Crisis Maps; Disaster Management; OpenStreetMap; Remote Mapping; Volunteered Geographic Information |
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Abstract |
Over the last couple of years Volunteered Geographic Information (VGI) and particularly OpenStreetMap (OSM) have emerged as an important additional source of information in disaster management. The so-called OSM Crisis Maps are primarily developed by OSM contributors who work remotely. While local OSM contributors know their area of interest and rely upon local knowledge, often the sole basis for the remote mapping is satellite imagery. This fact may raise doubts about the quality of the Crisis Maps. This study introduces an experimental approach to assess the data quality that remote mappers produce. In an experimental setting, data sets produced by a group of remote mappers are evaluated by comparing them to data sets created by a selected expert mapper with local knowledge. The presented approach proved to be useful for assessing data quality of remote mapping and can be used to support decisions about the suitability of crowdsourced geographic data. |
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Address |
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Corporate Author |
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Thesis |
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Publisher |
University of Agder (UiA) |
Place of Publication |
Kristiansand, Norway |
Editor |
L. Palen; M. Buscher; T. Comes; A. Hughes |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9788271177881 |
Medium |
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Track |
Geospatial Data and Geographical Information Science |
Expedition |
|
Conference |
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management |
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Notes |
|
Approved |
no |
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Call Number |
|
Serial |
1218 |
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Author |
Tracey L. O'Sullivan; Wayne Corneil; Craig E. Kuziemsky; Daniel E. Lane |
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Title |
Citizen participation in the specification and mapping of potential disaster assets |
Type |
Conference Article |
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Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
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Volume |
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Issue |
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Pages |
890-895 |
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Keywords |
Disaster prevention; Disasters; Information systems; Innovation; Asset-mapping; Collaboration; Empowerment; Engagement; Resilience; Mapping |
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Abstract |
Asset-mapping is a strategy used in disaster preparedness planning, however participation is typically limited to a small number of organizations with specific expertise related to disaster response. Broader strategies are needed to ensure identification of assets is comprehensive and to stimulate innovative thinking about which attributes of a community are potential assets for response and recovery. As part of The EnRiCH Project intervention, asset-mapping was used as a collaborative activity to promote identification of a broad range of assets which could be used to enhance resilience and promote preparedness among high risk populations. In this paper we present a study (in progress) which explores innovation and empowerment among a collaborative community group in Canada. Qualitative content analysis was used to analyze focus group transcripts from 2 sessions where the participants (n=18) learned how to use google docs and create a database of community assets, while developing collaborative relationships. |
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Address |
Interdisciplinary School of Health Sciences, University of Ottawa, Canada; Institute of Population Health, University of Ottawa, Canada; Telfer School of Management, University of Ottawa, Canada |
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Corporate Author |
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Thesis |
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Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
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Track |
Social Media |
Expedition |
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Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
|
Approved |
no |
|
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Call Number |
|
Serial |
819 |
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Author |
Paige Maas; Shankar Iyer; Andreas Gros; Wonhee Park; Laura McGorman; Chaya Nayak; P. Alex Dow |
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Title |
Facebook Disaster Maps: Aggregate Insights for Crisis Response & Recovery |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Volume |
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Issue |
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Pages |
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Keywords |
crisis mapping, crisis informatics, GIS, social media |
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Abstract |
After a natural disaster or other crisis, humanitarian organizations need to know where affected people are located
and what resources they need. While this information is difficult to capture quickly through conventional methods,
aggregate usage patterns of social media apps like Facebook can help fill these information gaps.
In this paper, we describe the data and methodology that power Facebook Disaster Maps. These maps utilize
information about Facebook usage in areas impacted by natural hazards, producing aggregate pictures of how the
population is affected by and responding to the hazard. The maps include insights into evacuations, cell network
connectivity, access to electricity, and long-term displacement.
In addition to descriptions and examples of each map type, we describe the source data used to generate the maps,
and efforts taken to ensure the security and privacy of Facebook users. We also describe limitations of the current
methodologies and opportunities for improvement. |
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Address |
Facebook, United States of America |
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Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
|
Abbreviated Series Title |
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Series Volume |
|
Series Issue |
|
Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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Track |
T8- Social Media in Crises and Conflicts |
Expedition |
|
Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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|
Notes |
|
Approved |
no |
|
|
Call Number |
ISCRAM @ idladmin @ |
Serial |
1912 |
|
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Author |
Kenneth S. Pelman; Anthony C. Robinson |
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Title |
An interactive mapping application for rapid evacuation planning |
Type |
Conference Article |
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Year |
2011 |
Publication |
8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 |
Abbreviated Journal |
ISCRAM 2011 |
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Volume |
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Issue |
|
Pages |
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Keywords |
Information systems; Planning; World Wide Web; Commercial software; Emergency situation; Evacuation; Evacuation planning; Interactive development; Interactive mapping; Mashups; Spatial informations; Mapping |
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Abstract |
Current GIS solutions for evacuation planning are frequently based on expensive and difficult to use commercial software solutions. These tools require a GIS analyst to generate and interpret results for decision makers. This paper introduces a web-based interactive mapping tool called EvacSpace that can provide emergency managers with actionable spatial information to develop plans for potential citizen evacuations in common emergency situations. Easy-to-use web mapping software and services are blended together with cloud computing methods to support interactive, visually-enabled evacuation planning and scenario evaluation. Here we show our current progress through a case study application to characterize the usefulness and utility of EvacSpace for the rapid, interactive development and assessment of evacuation plans. |
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Address |
GeoVISTA Center, Department of Geography, Pennsylvania State University, United States |
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Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Lisbon |
Editor |
M.A. Santos, L. Sousa, E. Portela |
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|
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
|
Abbreviated Series Title |
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Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
2411-3387 |
ISBN |
9789724922478 |
Medium |
|
|
|
Track |
Geographic Information Science |
Expedition |
|
Conference |
8th International ISCRAM Conference on Information Systems for Crisis Response and Management |
|
|
Notes |
|
Approved |
no |
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Call Number |
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Serial |
838 |
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Author |
Anthony C. Robinson; Robert E. Roth; Alan M. MacEachren |
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Title |
Challenges for map symbol standardization in crisis management |
Type |
Conference Article |
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Year |
2010 |
Publication |
ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings |
Abbreviated Journal |
ISCRAM 2010 |
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Volume |
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Issue |
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Pages |
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Keywords |
Disasters; Information systems; Interoperability; Map symbols; Mapping; National security; Risk management; Security systems; Crisis management; Department of Homeland Security; Emergency management; Emergency situation; Geo-spatial informations; Home land security; Key Issues; Symbology; Standardization |
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Abstract |
A wide range of local, regional, and federal authorities will generate maps to help respond to and recover from a disaster. It is essential that map users in an emergency situation can readily understand what they are seeing on these maps. Standardizing map symbology is one mechanism for ensuring that geospatial information is interpretable during an emergency situation, but creating an effective map symbol standard is a complex and evolving task. Here we present preliminary results from research into the application of the ANSI 415-2006 INCITS Homeland Security Map Symbol Standard, a point symbol standard intended to support emergency management mapping for the U.S. Department of Homeland Security. This standard has so far not been widely adopted across the full range of DHS missions, and we elaborate on key issues and challenges that should be accounted for when developing future map symbol standards for crisis management. |
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Address |
Department of Geography, GeoVISTA Center, Pennsylvania State University, United States |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Seattle, WA |
Editor |
S. French, B. Tomaszewski, C. Zobel |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
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Medium |
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Track |
Geo-Information Support |
Expedition |
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Conference |
7th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
882 |
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Author |
Eduard Santamaria; Florian Segor; Igor Tchouchenkov |
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Title |
Rapid aerial mapping with multiple heterogeneous unmanned vehicles |
Type |
Conference Article |
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Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
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Volume |
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Issue |
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Pages |
592-596 |
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Keywords |
Aircraft accidents; Information systems; Mapping; Unmanned aerial vehicles (UAV); Unmanned vehicles; Complete coverages; Crisis management; Ground control stations; Natural disasters; Planning capability; Sensor footprints; Unmanned aircrafts; Work-load distribution; Motion planning |
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Abstract |
In this article, work in progress on a system for rapid aerial mapping is presented. We believe that a tool able to quickly generate an up-to-date high resolution aerial view, e.g. shortly after a natural disaster or a big incident occurs, can be a highly valuable asset to help first responders in the decision making. The presented work focuses on the path planning capabilities of the system, together with the area partitioning and workload distribution among a team of multi-rotor unmanned aircraft. Sensor footprint and range of the involved aircraft may differ. The presented approach is based on an approximate cellular decomposition of the area of interest. The results of this work will be integrated into an existing system which already provides a mobile ground control station able to supervise and control multiple sensor carriers. |
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Address |
Fraunhofer IOSB, Germany |
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Corporate Author |
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Thesis |
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Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
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Track |
Innovations in Research |
Expedition |
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Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
910 |
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Author |
Sara Barozzi; Jose Luis Fernandez Marquez; Amudha Ravi Shankar; Barbara Pernici |
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Title |
Filtering images extracted from social media in the response phase of emergency events |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Volume |
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Issue |
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Pages |
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Keywords |
rapid mapping, floods, information extraction, filtering, crowdsourcing |
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Abstract |
The use of social media to support emergency operators in the first hours of the response phases can improve the
quality of the information available and awareness on ongoing emergency events. Social media contain both textual
and visual information, in the form of pictures and videos. The problem related to the use of social media posts
as a source of information during emergencies lies in the difficulty of selecting the relevant information among
a very large amount of irrelevant information. In particular, we focus on the extraction of images relevant to an
event for rapid mapping purpose. In this paper, a set of possible filters is proposed and analyzed with the goal of
selecting useful images from posts and of evaluating how precision and recall are impacted. Filtering techniques,
which include both automated and crowdsourced steps, have the goal of providing better quality posts and easy
manageable data volumes both to emergency responders and rapid mapping operators. The impact of the filters on
precision and recall in extracting relevant images is discussed in the paper in two different case studies. |
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Address |
Politecnico di Milano;University of Geneva |
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Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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Track |
T8- Social Media in Crises and Conflicts |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1881 |
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