Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
6.9
2.8
Journals
IJGI
Special Issues
Space-Based Technologies for Disaster Risk Management
share announcement

Space-Based Technologies for Disaster Risk Management

A special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964).

Deadline for manuscript submissions: closed (31 December 2012) | Viewed by 37779

Special Issue Editors

Dr. Shirish Ravan

E-Mail
Guest Editor
United Nations Office for Outer Space Affairs, Beijing, China
Interests: remote sensing and GIS applications in the area of natural resources management; biodiversity; forestry; agriculture; disaster management; infrastructure development planning; development of GIS based information systems; project/programme Management; capacity building and training
Prof. Dr. Sisi Zlatanova

E-Mail Website
Guest Editor
Faculty of Built Environment, University of New South Wales, Sydney, NSW 2052, Australia
Interests: 3D indoor modelling; 3D GIS; integration of BIM and GIS; 3D spatial analysis; DBMS; emergency response
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The United Nations Office for Outer Space Affairs (UNOOSA), through its UN-SPIDER Programme (United Nations Platform for Space-based Information for Disaster Management and Emergency Response) organized “United Nations International Conference on Space-based Technologies for Disaster Risk Management - Best Practices for Risk Reduction and Rapid Response Mapping” from 22 to 25 November 2011, Beijing, China, see http://www.un-spider.org/conference-beijing-2011. The purpose was to promote the access and use of space-based technologies and solutions for disaster management and emergency response within relevant communities. The conference focused on three major topics namely (a) Global datasets and information for risk reduction (b) Rapid response mapping: opportunities and challenges and (c) Networks: building upon and strengthening existing capacities. The conference covered range topics from covering the advancement in technology, best practices disaster risk management, experiences in the rapid response mapping etc. Authors are encouraged to extend their presentations to a full research paper or long literature review to submit to the special issue. Moreover, this special issue is also open to global colleagues in this field.

Dr. Shirish Ravan
Dr. Sisi Zlatanova
Guest Editors

Keywords

  • disaster/risk management
  • emergency response
  • post-disaster reconstruction
  • 3D spatial data integration
  • 3D modelling
  • GIS and geoinformation

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

Jump to: Review

3481 KiB  
Article
Potential Impact of Climate Changes on the Inundation Risk Levels in a Dam Break Scenario
by Sudha Yerramilli
ISPRS Int. J. Geo-Inf. 2013, 2(1), 110-134; https://doi.org/10.3390/ijgi2010110 - 4 Mar 2013
Cited by 8 | Viewed by 8869
Abstract
The overall objective of the study is to generate information for an enhanced land use planning with respect to flood hazards. The study assesses the potential impact of climate change by simulating a dam break scenario in a high intensity rainfall event and [...] Read more.
The overall objective of the study is to generate information for an enhanced land use planning with respect to flood hazards. The study assesses the potential impact of climate change by simulating a dam break scenario in a high intensity rainfall event and evaluates the vulnerability risk in the downstream region by integrating ArcGIS and Hydrologic Engineering Centers River Analysis System (HEC-RAS) technologies. In the past century, the evidence of climate changes are observed in terms of increase in high intensity rainfall events. These events are of high concern, as increased inflow rates may increase the probability of a dam failure, leading to higher magnitude flooding events involving multiple consequences. The 100 year historical rainfall data for the central Mississippi region reveals an increased trend in the intensity of rainfall rates after the 1970s. With more than 10% of high hazard dams in the central region, the damage can be far accumulative. The study determines occurrence of the high intensity rainfall event in the past 100 years for central Mississippi and simulates a Ross Barnett Reservoir dam break scenario and evaluates the vulnerability risks due to inundation in the immediate downstream region, which happens to be the State Capital. The results indicate that the inundation due to a Ross Barnett Reservoir failure under high intensity rainfall event is comparable to a catastrophic flood event experienced by the region in 1979, which almost equals a 200-year flood magnitude. The results indicate that the extent and depth of flood waters poses a significant destructive threat to the state capital, inundating various infrastructural and transportation networks. Full article
(This article belongs to the Special Issue Space-Based Technologies for Disaster Risk Management)
►▼ Show Figures

Figure 1

1779 KiB  
Article
Exposure Estimation from Multi-Resolution Optical Satellite Imagery for Seismic Risk Assessment
by Marc Wieland, Massimiliano Pittore, Stefano Parolai and Jochen Zschau
ISPRS Int. J. Geo-Inf. 2012, 1(1), 69-88; https://doi.org/10.3390/ijgi1010069 - 29 May 2012
Cited by 27 | Viewed by 8419
Abstract
Given high urbanization rates and increasing spatio-temporal variability in many present-day cities, exposure information is often out-of-date, highly aggregated or spatially fragmented, increasing the uncertainties associated with seismic risk assessments. This work therefore aims at using space-based technologies to estimate, complement and extend [...] Read more.
Given high urbanization rates and increasing spatio-temporal variability in many present-day cities, exposure information is often out-of-date, highly aggregated or spatially fragmented, increasing the uncertainties associated with seismic risk assessments. This work therefore aims at using space-based technologies to estimate, complement and extend exposure data at multiple scales, over large areas and at a comparatively low cost for the case of the city of Bishkek, Kyrgyzstan. At a neighborhood scale, an analysis of urban structures using medium-resolution optical satellite images is performed. Applying image classification and change-detection analysis to a time-series of Landsat images, the urban environment can be delineated into areas of relatively homogeneous urban structure types, which can provide a first estimate of an exposed building stock (e.g., approximate age of structures, composition and distribution of predominant building types). At a building-by-building scale, a more detailed analysis of the exposed building stock is carried out using a high-resolution Quickbird image. Furthermore, the multi-resolution datasets are combined with census data to disaggregate population statistics. The tools used within this study are being developed on a free- and open-source basis and aim at being transparent, usable and transferable. Full article
(This article belongs to the Special Issue Space-Based Technologies for Disaster Risk Management)
►▼ Show Figures

Figure 1

Review

Jump to: Research

393 KiB  
Review
An Analysis of Geospatial Technologies for Risk and Natural Disaster Management
by Luiz A. Manfré, Eliane Hirata, Janaína B. Silva, Eduardo J. Shinohara, Mariana A. Giannotti, Ana Paula C. Larocca and José A. Quintanilha
ISPRS Int. J. Geo-Inf. 2012, 1(2), 166-185; https://doi.org/10.3390/ijgi1020166 - 7 Aug 2012
Cited by 88 | Viewed by 18610
Abstract
This paper discusses the use of spatial data for risk and natural disaster management. The importance of remote-sensing (RS), Geographic Information System (GIS) and Global Navigation Satellite System (GNSS) data is stressed by comparing studies of the use of these technologies for natural [...] Read more.
This paper discusses the use of spatial data for risk and natural disaster management. The importance of remote-sensing (RS), Geographic Information System (GIS) and Global Navigation Satellite System (GNSS) data is stressed by comparing studies of the use of these technologies for natural disaster management. Spatial data sharing is discussed in the context of the establishment of Spatial Data Infrastructures (SDIs) for natural disasters. Some examples of SDI application in disaster management are analyzed, and the need for participation from organizations and governments to facilitate the exchange of information and to improve preventive and emergency plans is reinforced. Additionally, the potential involvement of citizens in the risk and disaster management process by providing voluntary data collected from volunteered geographic information (VGI) applications is explored. A model relating all of the spatial data-sharing aspects discussed in the article was suggested to elucidate the importance of the issues raised. Full article
(This article belongs to the Special Issue Space-Based Technologies for Disaster Risk Management)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop