Special Issue "Smart Solutions for Disaster Risk Reduction: Big Data Concepts for Disaster Risk Reduction (DRR)"
A special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964).
Deadline for manuscript submissions: 30 April 2017
Prof. Dr. Milan Konecny
Former President of ICA, chairman of the ICA Commission Cartography for Early Warning and Crises Management, Department of Geography, Faculty of Science, Masyryk University, Brno, Czech Republic
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Interests: early warning and disaster/crises management; disaster risk reduction; big data; space and geospatial solutions; GI Science
The United Nations work to reduce disaster risk is built on the knowledge and experience of countries and other stakeholders over the past several decades. Milestones include the 1990s being declared the international decade for natural disaster reduction, the adoption of the International Framework for Action for the International Decade for Natural Disaster Reduction, the Yokohama Strategy and Plan of Action for a Safer World adopted by the 1st World Conference on Natural Disaster Reduction, the endorsement of the International Strategy for Disaster Reduction, and the adoption of the Hyogo Framework for Action (HFA) at the 2nd World Conference on Disaster Reduction.
The last U.N. Disaster Risk Reduction (DRR) conference in Sendai, Japan (March 18, 2015) decided to continue in best practices for the present and also to enhance the sustainability of all efforts through the deeper, wider, and complex approaches to Disaster Risk Reduction, formulated in four most important priorities: 1. Understanding disaster risk; 2. Strengthening disaster risk governance to manage disaster risk; 3. Investing in disaster risk reduction for resilience; and 4. Enhancing disaster preparedness for effective response and to “Build Back Better” in recovery, rehabilitation, and reconstruction.
As never before, such U.N. efforts are formulated expectations from research and science, which would make all efforts more progressive, effective, and efficient. In realizations of priorities, it is expected that space and (geo)spatial methods and technologies and various parts of mapping (e.g., risk one) will be fully included. Moreover, our research efforts can fill up ISPRS intentions about “the central role of imagery and derived products in disaster management and homeland establishment, complementing its traditional central place in defence”. GI Science can also offer new and strong efforts, such as VGI (Volunteer Geographic Information), VGE (Virtual Geographic Environments), new ways of fully use Big Data, personalization of maps, by understanding context and adaptive cartography, etc. These, all together, can progressively improve the quality of the disaster risk management cycle (preparedness, early warning, alert, assessment, etc.) and also, and it is the main topic of this Special Issue, to improve complex smart solutions for the realization of Disaster Risk Reduction tasks.
Aims of this Special Issue
This Special Issue aims to promote innovative concepts, methods and tools that help in solving current and future problems in DRR, assisted by space and (geo)spatial technologies, approaches in GI Science, and mapping.
Global, national, and local level development, which periodically updates and disseminates, as appropriate, location-based disaster risk information, is expected from our research communities. There are requests to design and improve risk maps for decision makers, the general public, and communities at risk of exposure to disaster, in an appropriate format by using, as applicable, geospatial information technology; e.g., to promote real-time access to reliable data, make use of space and in situ information, including geographic information systems (GIS), and use information and communications innovations, and, last but not least, to enhance measurement tools and the collection, analysis, and dissemination of data.
Very important is to formulate the role of Big Data technologies and methods and potentials of newly appearing activities, such as citizen science, which should also effectively enhance approaches used in DRR.
In line with the specific DRR context, as outlined above, we would like to invite original research contributions on the following topics (which might be extended):Space Solutions:
- Remote Sensing Usability for DRR
- Matching RS and PE to 2D maps and 3D models
- Remote sensing in different disaster management phases (warning, monitoring, relief, assessment and recovery).
- UAV application in DRR
- Open RS clouds for DRR
- New sensor data for disaster monitoring and response
- Sensor cloud for disaster data acquisition
- Multi-source RS data fusion for disaster management
- Automated disaster information extraction from RS data
- Automated 3D scene reconstruction for disaster management
- Big Data and VGI for disaster risk reduction
- Smart Maps for DRR
- Geoinformatics for DRR
- Real-time mapping
- Dynamic geovisualization
- Geo-process model bases
- Efficiency of disaster maps
- Standardization of maps of hazards and disasters
- Geo Map Web Services
- Disaster Early warning systems
- Disaster Assessment and aftermath monitoring
- Prediction of combined hazards, risks and disaster effects.
- Evaluation of hazard, risk and disaster scenarios
- 3D modeling and mapping of hazards, risks and disasters
- Space-Time Data Mining and Knowledge Discovery
- Disaster Risk management and sustainable development in DRR
- Sharing and use of non-sensitive data and information
- Geospatial and space-based technologies and related services for decision-makers, inhabitants and customers
Prof. Dr. Milan Konecny
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. ISPRS International Journal of Geo-Information is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
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Bandrova, T.; Konecny, M.; Zlatanova, S. Thematic Cartography for the Society; Springer: Berlin, Germany, 2014.
Bandrova, T.; Zlatanova, S.; Konecny, M. Geoinformation for Disaster and Risk Management, Examples and Best Practices; Joint Board of Geospatial Information Societies (JB GIS) and United Nations Office for Outer Space Affairs (UNOOSA): Copenhagen, Denmark, 2010.
ISDR, 2007, Hyogo Framework for Action, 2005-2015, Building the Resilience of Nations and Communities to Disasters. Avalible online: https://www.unisdr.org/we/coordinate/hfa (accessed on 14 April 2016).
Konecny, M.; Zlatanova, S.; Bandrova T. Geographic Information and Cartography for Risk and Crisis Management; Towards Better Solutions; Springer: Berlin Heidelberg, 2010.
Konecny, M.; Reinhardt W. Early warning and disaster management: the importance of geographic information (Part A). Int. J. Digit. Earth 2010, 3, 217–220.
Konecny, M.; Reinhardt W. Early warning and disaster management: the importance of geographic information (PartB). Int. J. Digit. Earth 2010, 3, 313–315.
Lin, H.; Batty, M.; Jørgensen, S.E.; Fu, B.; Konecny, M.; Voinov, A.; Torrens, P.; Lu, G.; Zhu, A-X.; Wilson, J.P.; Gong, J.; Kolditz, O.; Bandrova T.; Chen. M. Virtual environments begin to embrace process-based geographic analysis. Transact. GIS 2015, doi:10.1111/tgis.12167.
Nayak S.; Zlatanova S. Remote Sensing and GIS Technologies for Monitoring and Prediction of Disasters; Springer Science & Business Media: Berlin, Germany, 2008.
Altan, O.; Backhause, R.; Boccardo, P.; van Manen, N.; Trinder J.; Zlatanova. S. The Value of Geoinformation for Disaster and Risk Management (VALID): Benefit Analysis and Stakeholder Assessment; Joint Board of Geospatial Information Societies (JB GIS): Copenhagen, Denmark, 2013.
UNISDR. Sendai Framework for Disaster Risk Reduction 2015–2030; United Nations: New York, NY, USA, 2015.