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Author |
Chanvi Kotak; Brian Tomaszewski; Erik Golen |
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Title  |
3-1-1 Calls Hot Spot Analysis During Hurricane Harvey: Preliminary Results |
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 |
350-361 |
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Keywords |
Hurricane Harvey, 3-1-1 data calls, hot spot analysis. |
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Abstract |
Hurricane Harvey caused massive damage and necessitated the need for identification of areas under high risk. During Harvey, the city of Houston received more than 77000, 3-1-1 calls for assistance. Due to damage caused to the infrastructure, it became difficult to handle and respond to the crisis. Geographic Information Systems (GIS) is a vital technology to assist with real-time disaster monitoring. we investigated if a correlation could be found between 311 data calls made during the Hurricane Harvey and aerial images captured during the event, specifically to see if 311 data could be ground-truthed via hot spot analysis. Preliminary results indicate that visual representation of 3-1-1 call data can aid in analyzing the expected areas of high traffic of calls for assistance and plan an effective way to manage resources. Future work will involve more in-depth analysis of combined 3-1-1 call data with satellite imagery using image classification techniques. |
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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 |
2113 |
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Author |
Lucas Dorigueto; Carlos Brumatti; Erick Figueiredo; Jugurta Lisboa-Filho |
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Title |
A Framework for Landslide Information Management Systems Development |
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 |
515-526 |
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Keywords |
Disaster Information Management Systems, Landslide, Interoperability, Volunteered Geographic Information |
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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. |
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Address |
Universidade Federal de Viçosa (UFV); Universidade Federal de Viçosa (UFV); Universidade Federal de Viçosa (UFV); Universidade Federal de Viçosa (UFV) |
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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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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 |
Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) |
Expedition |
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Conference |
18th International Conference on Information Systems for Crisis Response and Management |
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Notes |
lucas.dorigueto@ufv.br |
Approved |
no |
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Call Number |
ISCRAM @ idladmin @ |
Serial |
2352 |
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Author |
Nuala M. Cowan |
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Title |
A geospatial data management framework for humanitarian response |
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 |
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Pages |
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Keywords |
Data structures; Geographic information systems; Information systems; Framework; Geo-spatial; Humanitarian; Relief; Response; Information management |
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Abstract |
The success of humanitarian relief efforts is contingent upon the quality and timeliness of information provided to both the decision making and coordinating functions. Poor or fragmented information can lead to inappropriate decisions or poorly coordinated activities. This research focuses on how the application of spatially aware technologies can allow the information dimension of the challenge to become more effective. This will be achieved through the development of a comprehensive framework for the organization of spatially referenced humanitarian information, and corresponding geospatial data model for practical application in the field. The development of a spatial data framework that is both comprehensive and scalable can unleash the power of GIS for humanitarian data managers, and facilitate the collection and sharing of information between agencies that share similar goals. The research involves the development of a framework based on a literature review of best-practices, which will be refined and tested through interaction with the humanitarian information management community. |
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Address |
George Washington University (GWU), Institute of Crisis, Disaster and Risk Management (ICDRM), United States; George Washington University (GWU), Department of Geography, United States |
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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 |
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Serial |
418 |
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Author |
Flávio E. A. Horita; Maria C. Fava; Eduardo M. Mendiondo; Jairo Rotava; Vladimir C. Souza; Jo Ueyama; João Porto De Albuquerque |
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Title |
AGORA-GeoDash: A geosensor dashboard for real-time flood risk monitoring |
Type |
Conference Article |
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Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
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Volume |
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Issue |
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Pages |
304-313 |
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Keywords |
Decision making; Flood control; Information systems; Wireless sensor networks; Decision making process; Flood management; Flood risks; Geosensor dashboard; Hazard indices; Open geospatial consortium; Performance indicators; Technological architectures; Floods |
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Abstract |
Flood management is an important approach to reduce damage caused by floods. In this context, technological architectures which work in real-time are needed. However, Brazil has faced many structural difficulties in obtaining updated information on the current state of its rivers. To address this problem, this paper outlines a geosensor dashboard called AGORA-GeoDash, which processes data streams from wireless sensor networks and makes them available in the form of a set of performance indicators that are essential to support real-time decision-making in flood risk monitoring. The dashboard was built on open-source frameworks, made use of geoservices that comply with the standards of Open Geospatial Consortium, and established a Wireless Sensor Network which monitors the rivers of São Carlos/SP in Brazil. The analysis of the indicators available in two rainfall events revealed that the dashboard can provide the key information required for the decision-making process involved in flood risk management. |
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Address |
Department of Computer Systems/ICMC, University of São Paulo, São Carlos/SP, Brazil; Department of Hydraulic/EESC, University of São Paulo, São Carlos/SP, Brazil; Center for Technology/CTEC, Federal University of Alagoas, Maceió/AL, Brazil |
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Publisher |
The Pennsylvania State University |
Place of Publication |
University Park, PA |
Editor |
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
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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 |
9780692211946 |
Medium |
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Track |
Geographic Information Science |
Expedition |
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Conference |
11th 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 |
593 |
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Author |
Edjossan-Sossou, A.; Selouane, K.; Sayah, M.A.; Ouabou, M.; Vignote, C.; Capitaine, M.; Soto, D.; Edelblutte, E. |
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Title |
An innovative scenario-based modeling tool for the management of resilient water resources |
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 |
808-821 |
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Keywords |
Climate Change; Resilience Performance Assessment; Water Resources Management; Scenario-Based Analysis; Predictive Modelling |
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Abstract |
As freshwater availability for domestic and agro-industrial uses is highly sensitive to climate change, there is an urgent need for the management of this critical resource to be resilient, i.e., to cope with and rapidly recover from climate risks. To achieve this resilient goal, decision-makers need to have a comprehensive understanding of (i) the current and future local water resources, (ii) the ways these resources are and will be impacted by climate change, and (iii) the effects their management decisions can have. In this paper, we present an innovative scenario based modeling tool that help decision-makers make the most appropriate decision towards managing water resources: the Resilience Performance Assessment (RPA). This GIS-based decision support tool illustrates the current and future effects of climate change on local water resources and simulates the outcomes of different water resources management strategies. The RPA helps guide decision-makers towards the implementation of context specific adaptation strategies. |
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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 |
Geospatial Technologies, Location Analytics, and Geographic Information Science |
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Conference |
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Notes |
http://dx.doi.org/10.59297/AHXP6903 |
Approved |
no |
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Call Number |
ISCRAM @ idladmin @ |
Serial |
2568 |
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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 |
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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 |
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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 |
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Serial |
838 |
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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 |
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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 |
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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 |
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Serial |
511 |
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Author |
Sérgio Freire; Daniele Ehrlich; Stefano Ferri |
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Title |
Assessing temporal changes in global population exposure and impacts from earthquakes |
Type |
Conference Article |
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Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
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Volume |
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Issue |
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Pages |
324-328 |
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Keywords |
Earthquakes; Hazards; Information systems; Population distribution; Risk assessment; Cities; Global population; Population exposure; Population growth; Seismic intensity; Spatial analysis; Spatiotemporal analysis; Temporal change; Population statistics |
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Abstract |
It is frequently conveyed, especially in the media, an idea of “increasing impact of natural hazards” typically attributed to their rising frequency and/or growing vulnerability of populations. However, for certain hazard types, this may be mostly a result of increasing population exposure due to phenomenal global population growth, especially in the most hazardous areas. We investigate temporal changes in potential global population exposure and impacts from earthquakes in the XXth century. Spatial analysis is used to combine historical population distributions with a seismic intensity map. Changes in number of victims were also analyzed, while controlling for the progress in frequency and magnitude of hazard events. There is also a focus on mega-cities and implications of fast urbanization for exposure and risk. Results illustrate the relevance of population growth and exposure for risk assessment and disaster outcome, and underline the need for conducting detailed global mapping of settlements and population distribution. |
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Address |
European Commission, Joint Research Centre, Institute for the Protection and Security of the Citizen, Italy |
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Corporate Author |
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Thesis |
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Publisher |
The Pennsylvania State University |
Place of Publication |
University Park, PA |
Editor |
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
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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 |
9780692211946 |
Medium |
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Track |
Geographic Information Science |
Expedition |
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Conference |
11th 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 |
510 |
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Author |
Zachary Sutherby; Brian Tomaszewski |
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Title |
Conceptualizing the Role Geographic Information Capacity has on Quantifying Ecosystem Services under the Framework of Ecological Disaster Risk Reduction (EcoDRR) |
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 |
326-333 |
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Keywords |
Disaster Risk Reduction, Ecosystem Services, Geographic Information Capacity, Hazards. |
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Abstract |
The use of ecosystems for EcoDRR is a beneficial and a viable option for community stakeholders. For example, ecosystems can mitigate the effects of hazards experienced in anthropogenic communities. Ecosystem services are the underlying reason for this benefit. EcoDRR is the idea of sustainable management, conservation, and restoration of ecosystems to maximize ecosystem services and reduce disaster risks and impacts. The use of geospatial technologies to monitor large-scale ecosystems are often subject to Geographic Information Capacity (GIC), or the ability of ecosystem stakeholders to utilize all existing geographic information, resources, and capacities to monitor ecosystem services. Though these tools are useful, currently there is not a tool that specifically quantifies ecosystem services in the context of DRR. The main contribution of this paper is a conceptual framework intended to quantify ecosystem services in the context of EcoDRR. |
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Corporate Author |
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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 |
2111 |
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Author |
Michael Erskine; Scott Seipel; Cayson Seipel |
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Title |
Development of a Geospatial Agent-Based Simulation of Disaster Evacuations for Battery Electric Vehicle (BEV) Policy |
Type |
Conference Article |
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Year |
2022 |
Publication |
ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2022 |
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Volume |
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Issue |
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Pages |
532-540 |
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Keywords |
Battery Electric Vehicles; Government Policy; Hurricane Evacuation; Geospatial Agent-Based Simulation |
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Abstract |
Several nations have signaled their intent to phase out petroleum-based engines for passenger vehicles and promote a transition to battery electric vehicles (BEVs). While researchers have established the long-term environmental benefits of BEVs, there are critical considerations for policymakers in areas prone to natural disasters. This research intends to develop a geospatial-based model to explore and simulate the evacuation of BEVs during a disaster. This work-in-progress (WiPe) paper examines the variables essential to creating an effective hurricane simulation. The final simulation model is intended to allow for the evaluation of BEV policy options under a variety of scenarios. We describe the considerations made during the development of this geospatial agent-based simulation under various hurricane parameters. Finally, we mention the expected benefits of our work and hint at possible policy directions. |
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Address |
Middle Tennessee State University; Middle Tennessee State University; Middle Tennessee State University |
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Corporate Author |
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Thesis |
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Publisher |
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Place of Publication |
Tarbes, France |
Editor |
Rob Grace; Hossein Baharmand |
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Language |
English |
Summary Language |
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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 |
978-82-8427-099-9 |
Medium |
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Track |
Geospatial Technologies and Geographic Information Science for Crisis Management |
Expedition |
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Conference |
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Notes |
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Approved |
no |
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Call Number |
ISCRAM @ idladmin @ |
Serial |
2437 |
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Author |
Christoph Aubrecht; Klaus Steinnocher; Hermann Huber |
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Title |
DynaPop – Population distribution dynamics as basis for social impact evaluation in crisis management |
Type |
Conference Article |
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Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
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Volume |
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Issue |
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Pages |
314-318 |
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Keywords |
Information systems; Population distribution; Population dynamics; Risk assessment; Activity patterns; Crisis management; Evacuation planning; Population distribution patterns; Population dynamics models; Population exposure; Spatial disaggregation; Spatio-temporal models; Economic and social effects |
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Abstract |
In this paper ongoing developments regarding the conceptual setup and subsequent implementation logic of a seamless spatio-temporal population dynamics model are presented. The DynaPop model aims at serving as basic input for social impact evaluation in crisis management. In addition to providing the starting point for assessing population exposure dynamics, i.e. the location and number of affected people at different stages during an event, knowledge of spatio-temporal population distribution patterns is also considered crucial for a set of other related aspects in disaster risk and crisis management including evacuation planning and casualty assessment. DynaPop is implemented via a gridded spatial disaggregation approach and integrates previous efforts on spatio-temporal modeling that account for various aspects of population dynamics such as human mobility and activity patterns that are particularly relevant in picturing the highly dynamic daytime situation. |
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Address |
AIT Austrian Institute of Technology, Energy Department, Austria; AIT Austrian Institute of Technology, Safety and Security Department, Austria |
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Corporate Author |
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Thesis |
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| |
Publisher |
The Pennsylvania State University |
Place of Publication |
University Park, PA |
Editor |
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
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| |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
|
Series Title |
|
Abbreviated Series Title |
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| |
Series Volume |
|
Series Issue |
|
Edition |
|
|
| |
ISSN |
2411-3387 |
ISBN |
9780692211946 |
Medium |
|
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| |
Track |
Geographic Information Science |
Expedition |
|
Conference |
11th 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 |
279 |
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Author |
André Simões; Armanda Rodrigues; Patricia Pires; Luis Sá |
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| |
Title |
Evaluating emergency scenarios using historic data: Flood management |
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 |
|
Issue |
|
Pages |
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| |
Keywords |
Artificial intelligence; Cellular automata; Computer simulation; Decision support systems; Flood control; Floods; Geographic information systems; Information systems; Risk management; Civil protection; Complex evaluations; Development process; Emergency management; Emergency scenario; Flood forecasting models; Flood management; Physical conditions; Risk perception |
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Abstract |
The evaluation of an emergency scenario is often based on the use of simulation models. The specificity of these models involves the need for a complex evaluation of the problem domain, including the physical conditions behind the considered threat. Based on emergency occurrences data, provided by the Portuguese National Civil Protection Authority, we are currently developing a methodology for evaluating a real situation, based on past occurrences. The aim is to develop a platform that will enable the evaluation of a risk scenario based on existing civil protection data. The methodology under development should enable the evaluation of different scenarios based on the collected available data. This will be achieved thanks to the facilitated configuration of several aspects, such as the geographical region and relevant properties of the considered threat. In this paper, we describe the methodology development process and the current state of the platform for risk evaluation. |
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Address |
CITI, FCT/UNL, Portugal; Autoridade Nacional de Protecção Civil, Portugal |
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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 |
|
Edition |
|
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| |
ISSN |
2411-3387 |
ISBN |
9789724922478 |
Medium |
|
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| |
Track |
Geographic Information Science |
Expedition |
|
Conference |
8th 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 |
952 |
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Author |
Martin Hilljegerdes; Ellen-Wien Augustijn-Beckers |
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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 |
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Volume |
|
Issue |
|
Pages |
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Keywords |
Agent-based modelling, evacuation simulation, multi-event scenario, NetLogo, OpenStreetMap |
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Abstract |
The Caribbean island of Dominica is at constant risk of being hit by tropical storms during the hurricane season.
Therefore, Dominica and areas in similar situations need to raise their resilience to natural hazards. The potential
consequences of climate change intensify this risk. After a hurricane hit, repair of damage to buildings and
infrastructure can take several months. As hurricane frequency is increasing and time between hurricanes
fluctuates, modeling sequences of hurricane events can help to determine different evacuation strategies. This
paper introduces an agent-based model, simulating two hurricane events in one season. The prototype simulates
the movement of evacuees over a road network and damage to buildings and infrastructure. Initial results show
marked differences between road movements of evacuees during a second evacuation. Although shifts in the
average shelter occupation are small (up to 2%) for our case study, this can indicate that adjustments to shelter
capacities are necessary. |
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Address |
GIScience Research Group, Institute of Geography, Heidelberg University, Germany;Department of Geo-Information Processing, Faculty of Geo-Information Science and Earth Observation,University of Twente, the Netherlands |
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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 |
|
Series Issue |
|
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 |
1954 |
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Author |
Tim-Jonathan Huyeng; Timo Bittner; Uwe Rüppel |
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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 |
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Volume |
|
Issue |
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Pages |
541-550 |
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Keywords |
LoRa; LPWAN; disaster response; sensor technology; monitoring |
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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. |
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Address |
Technische Universität Darmstadt; Technische Universität Darmstadt; Technische Universität Darmstadt |
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Corporate Author |
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Thesis |
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| |
Publisher |
|
Place of Publication |
Tarbes, France |
Editor |
Rob Grace; Hossein Baharmand |
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Language |
English |
Summary Language |
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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 |
978-82-8427-099-9 |
Medium |
|
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| |
Track |
Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) |
Expedition |
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Conference |
|
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| |
Notes |
|
Approved |
no |
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| |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2438 |
|
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Author |
Christelle Pierkot; Sidonie Christophe; Jean François Girres |
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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 |
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Volume |
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Issue |
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Pages |
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Keywords |
geovisualization, multiplexing tools, crisis management. |
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Abstract |
Natural hazards can generate damages in large inhabited areas in a very short time period. Crisis managers must
plan interventions very quickly to facilitate the arrival of the first emergency. In a crisis unit, experts visualize
heterogeneous visual representations of spatio-temporal information, in order to facilitate decision-making,
based on various types of screens, i.e. laptops, tablets, or wall screens. Visualizing all this information at the
same time on the same interface would lead to cognitive overload. In this paper, we assume that it could be of
interest to provide innovative co-visualization models and tools, to bring hazard, geospatial and climate
information together, in a shared interface. We propose to explore spatial and temporal multiplexing tools within
a dedicated geovisualization environment, in order to help expert decision-making. The proposition is
implemented with the case study of a tsunami event in the Caribbean sea. |
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| |
Address |
Univ. Paul-Valéry Montpellier 3, IRD, UMR GRED 220, F34000 Montpellier, France;Univ. Paris-Est, LASTIG GEOVIS, IGN, ENSG, F-94160 Saint-Mande, France |
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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 |
1871 |
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|
Author |
Varsha Hassan Vishwanath; Brian Tomaszewski |
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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 |
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| |
Volume |
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Issue |
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Pages |
362-375 |
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Keywords |
Flood risk, DEM, GIS, India, Uttarakhand. |
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Abstract |
The Indian state of Uttarakhand, located in the valleys of the Himalayan Mountains, is severely prone to flash floods. High intense rainfall, slope, river channels are some of the significant factors responsible for flash floods. In this work-in-progress paper, we address these challenges via a geospatial flood risk analysis that utilizes hazard and vulnerability assessments, computed using satellite, hydrologic and demographic data by employing Analytical Hierarchy Process (AHP). The entire analysis was carried out in geosprocesing framework. The resulting maps indicate that flood risk regions have significant correspondence to regions that are highly hazardous and vulnerable. These maps could help in developing better disaster management measures for Uttarakhand. Flash floods still being a globally challenging problem, these methods and results could be used to expand research and improve flash floods prediction and warning systems in many countries. |
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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 |
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 |
|
Serial |
2114 |
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| |
|
Author |
Volkmar Schau; Christian Erfurth; Gerald Eichler; Steffen Späthe; Wilhelm Rossak |
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| |
Title |
Geolocated communication support in rescue management |
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 |
Ad hoc networks; Communication; Mobile agents; Mobile devices; Communication support; Efficient communications; Localization; Mass casualty incidents; Mobile software agents; Peer-to-peer communications; Reliable communication; SpeedUp; Information systems |
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Abstract |
Efficient communication on base of consistent and up to date information is the key factor to cope with hard rescue missions. With the new generation of mobile devices local peer-to-peer communication in conjunction with geolocated information is promising to improve information's quality. Thereby, the routing of information in ad-hoc networks is very dynamic. This contribution, based on work of the SpeedUp project, analyses protocols and presents an approach which combines mobile software agents, routing in ad-hoc networks, and geolocated information to build up a reliable communication infrastructure. The 2MANS simulator allows efficient graphical model building. Geolocated information will be utilized as a map representation to improve the overall situation for unified rescue forces management. |
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Address |
Friedrich Schiller University Jena, Germany; University of Applied Science Jena, Germany; Deutsche Telekom Laboratories, Germany; Navimatix GmbH, Germany |
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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 |
918 |
|
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|
Author |
S. M. Dassanayake; I. Mahakalanda; D. M. R. Sanjula; B. Dissanayake; R. M. Pasan; I. Gunathunga; N. K. G. Thilina; P. Jayasooriya; R. M. Prageeth; S. Rathnayake; C. L. Jayawardena; Raj Prasanna |
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Title |
Geospatial Impact Analytics of Hydrometeorological Hazards: A Study on Urban and Suburban Floods in Sri Lanka using Online Textual Data |
Type |
Conference Article |
| |
Year |
2023 |
Publication |
Proceedings of the ISCRAM Asia Pacific Conference 2022 |
Abbreviated Journal |
Proc. ISCRAM AP 2022 |
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Volume |
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Issue |
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Pages |
156-163 |
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Keywords |
Impact-Based Warnings; Geospatial Impact; Textual Data; Urban Flood |
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Abstract |
Urban and suburban communities in tropical countries like Sri Lanka typically experience hydrometeorological hazards that substantially damage property and lives. Although accurate forecasts of weather events are available, the decision-makers often fail to mitigate the actual impact of these forecasts alone. The adverse impacts experienced by the community and reported by news and online media complement this fact. The forecast-impact disparity underpins the scope for holistically linking the forecast data with actual impact. This paper presents a work-in-progress study that develops a geospatial analytics framework using online textual data for assessing the spatiotemporal impact of the hydrometeorological hazards in disaster hot spots. The preliminary findings show prospects for extending the study to impact-focused visualization and forecasting that capture the community's and decision makers' attention for better interventions. For example, these include the degree of disaster response, planning and scheduling critical infrastructure and estimating damages, compensations and insurance claims. |
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Address |
University of Moratuwa; University of Moratuwa; University of Moratuwa; University of Moratuwa; University of Moratuwa; University of Moratuwa; University of Moratuwa; University of Moratuwa; University of Moratuwa; University of Moratuwa; University of Moratuwa; Massey University |
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Corporate Author |
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Thesis |
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Publisher |
Massey Unversity |
Place of Publication |
Palmerston North, New Zealand |
Editor |
Thomas J. Huggins, V.L. |
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Language |
English |
Summary Language |
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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 |
978-0-473-66845-7 |
Medium |
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Track |
Geospatial Technologies and Geographic Information Science for Crisis Management |
Expedition |
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Conference |
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Notes |
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Approved |
no |
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| |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2489 |
|
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Author |
Tinghao Zhang; Lida Huang; Tao Chen; Shuo Bai |
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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 |
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Volume |
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Issue |
|
Pages |
503-514 |
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Keywords |
Arcgis, large-scale event, emergency management, epidemic prevention |
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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. |
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Address |
Tsinghua University; Tsinghua University; Tsinghua University; Tsinghua University; Tsinghua University Hefei |
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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 |
|
Medium |
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| |
Track |
Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) |
Expedition |
|
Conference |
18th International Conference on Information Systems for Crisis Response and Management |
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| |
Notes |
zth19@mails.tsinghua.edu.cn |
Approved |
no |
|
| |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2351 |
|
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|
Author |
Tiago Badre Marino; Bruno Santos Do Nascimento; Marcos R. S. Borges |
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| |
Title |
GIS supporting data gathering and fast decision making in emergencies situations |
Type |
Conference Article |
| |
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 |
|
Pages |
|
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| |
Keywords |
Geographic information systems; Information systems; Landslides; Mobile devices; Mobile telecommunication systems; Risk management; Telecommunication networks; Wireless networks; Data gathering; Data Sharing; Disaster areas; Emergency management; Field assessment; Latin America; Online registration; Web database; Disasters |
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| |
Abstract |
This proposal rises from the Center for Disasters Scientific Support experience over eleven years supporting over a hundred disasters in Latin America. It also presents a case study applied to landslides assessments in Teresopolis (Brazil) city, when all field-generated knowledge was still registered in paper and later, at the base station, uploaded to database and finally available for managers evaluation and decision. The proposed methodology creates a platform (still under development) which allows online registration from different field agents during their evaluations enabling data upload combining mobile devices and telecommunication network (or Wi-Fi) technologies. Teams can also customize forms for different information classes (i.e. landslide assessment, rescued person, blocked road) and still retain the possibility to attach images, videos, other files related to each inspection. Incoming data are stored into a web database available for a real-time coordinators evaluation wherever they are (sometimes over a thousand of miles away from disaster area). © 2012 ISCRAM. |
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Address |
Universidade Federal Do Rio de Janeiro, Brazil |
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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 |
|
Edition |
|
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| |
ISSN |
2411-3387 |
ISBN |
9780864913326 |
Medium |
|
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| |
Track |
Geographic Information Science and Technology |
Expedition |
|
Conference |
9th 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 |
163 |
|
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|
Author |
Vitaveska Lanfranchi; Nadia Noori; Tudor Sirbu |
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| |
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 |
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| |
Volume |
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Issue |
|
Pages |
334-349 |
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| |
Keywords |
Humanitarian aid work, Real-time location systems, security threats, threat detections, situational awareness. |
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| |
Abstract |
The operational environment in which humanitarians operate is unstable and high-risk; when operating in such environments, time becomes a critical factor. Thus, real-time location systems (RTLS) are often deployed in the operational environment to provide awareness of the location of personnel and assets in real-time that would support an informed decision making in the event of responding to emergency. Whilst standard RTLS are very precise, they are not suitable to outdoor spaces; GPS position technology can be used to identify the location of objects and people and to track them. In this paper, first, we present a description of threat scenarios identified based on information from existing security incidents datasets and from interviews with aid workers and security professionals operating in high-risk regions. Second, we describe the implementation of a GPS-based real-time location tracking and alert system for humanitarians operating in conflict zones that supports the identified scenarios. |
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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 |
|
| |
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 |
2112 |
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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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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 |
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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 |
1887 |
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Author |
Øyvind Hanssen |
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Title |
Improving Trails from GPS Trackers with Unreliable and Limited Communication Channels |
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 |
489-502 |
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Keywords |
GPS tracking, trails, Search and Rescue, APRS |
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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. |
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Address |
Nord University |
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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 |
Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) |
Expedition |
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Conference |
18th International Conference on Information Systems for Crisis Response and Management |
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Notes |
ohanssen@acm.org |
Approved |
no |
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Call Number |
ISCRAM @ idladmin @ |
Serial |
2350 |
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Author |
Stathis G. Arapostathis |
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Title |
Instagrammers report about the deadly wildfires of East Attica, 2018, Greece: An introductory analytic assessment for disaster management purposes |
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 |
volunteered geographic information (VGI), Instagram, social media, fires, disasters, disaster management |
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Abstract |
This article contributes to identifying the capabilities of Instagram when utilized as a source of Volunteered
Geographic Information (VGI) for disaster management (DM) purposes. The geographic focus of this research is
in the Mediterranean area. As case study, the fire event of East Attica 2018, Greece, was chosen. This major fire
occurred on the 23rd of July 2018 and caused the death of 100 people, the injury of additional 164 while the total
burnt area was about 1275,9ha. It is the deadliest in modern Greece?s history and the second deadliest at a global
level, within the 21st century. About 15000 related photos along with the corresponding captions and timestamps
were crawled from Instagram. An initial sample of about 1100, was analyzed, by using a certain methodology
divided in certain steps, the most important of which include the classification of the information to certain
categories, geo-referencing and the creation of graphs and maps that visualize the processed data. |
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Address |
Harokopio Univesrsity, Greece |
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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 |
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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 |
1978 |
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Author |
Artur Ricardo Bizon; Luciana P. de Araújo Kohler; Adilson Luiz Nicoletti; Fernanda Dal Bosco; Murilo Schramm da Silva; Thales Bohn Pessatti |
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Title |
Integration statistical systems for land cover mapping in Southern Brazil |
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 |
498-505 |
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Keywords |
Random Forest, Logistic Regression, Classifier, Google Earth Engine, Remote Sensing. |
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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. |
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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 |
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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 |
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Edition |
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ISSN |
978-1-949373-27-47 |
ISBN |
2411-3433 |
Medium |
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Track |
Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) |
Expedition |
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Conference |
17th International Conference on Information Systems for Crisis Response and Management |
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Notes |
abizon@furb.br |
Approved |
no |
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Call Number |
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Serial |
2248 |
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