Spatial Information for Disaster Management Using Examples from IstanbulIstanbul

2010 ◽  
pp. 23-37 ◽  
Author(s):  
Orhan Altan ◽  
Gerhard Kemper
Keyword(s):  
Disaster Management ◽  
Spatial Information

SDI and crowdsourced spatial information management automation for disaster management

Survey Review ◽  
2015 ◽  
Vol 47 (344) ◽  
pp. 307-315 ◽  
Author(s):  
S. Koswatte ◽  
K. McDougall ◽  
X. Liu
Keyword(s):  
Information Management ◽  
Disaster Management ◽  
Spatial Information

scholarly journals DESIGN OF APPLICATION ARCHITECTURE FOR 3D SAFETY STATUS INFORMATION PLATFORM

2019 ◽  
Vol XLII-3/W8 ◽  
pp. 215-220
Author(s):  
T. Kim ◽  
J. Youn ◽  
D. Kim ◽  
W. Choi
Keyword(s):  
Development Strategy ◽  
Disaster Management ◽  
Spatial Information ◽  
Service Development ◽  
Management Service ◽  
Information Platform ◽  
Management Platform ◽  
Detail Design ◽  
Application Architecture ◽  
Status Information

<p><strong>Abstract.</strong> The Korean Government has executed the research project named “The development of spatial information-based high-reality contents provision technology for disaster management”. The goal of this project is to develop and verify a Safety Index Map and a 3D safety status information platform for spatial information based customized disaster management service. This paper deals with the design of application architecture for spatial information based 3D safety state information platform. First, we analysed the use cases of existing disaster management platform and the needs of business users. Second, based on the analysed results, target facilities were selected and possible service scenarios were created. Finally, we designed application architecture with service development strategy and users’ requirements. The results of this research could be used for detail design of technical architectures (DA/SA/HA/NA).</p>

Building a GIS-Based Information System with Seamless Interaction Between Operations and Disaster Management – New Challenges of Kitakyushu, Fukuoka in Using Spatial Information newline for Regional Disaster Resilient Societies

2016 ◽  
Vol 11 (5) ◽  
pp. 897-910
Author(s):  
Go Urakawa ◽  
◽  
Keyword(s):  
Cloud Computing ◽  
Information System ◽  
Pacific Ocean ◽  
Disaster Management ◽  
Spatial Information ◽  
Great East Japan Earthquake ◽  
The Past ◽  
The Pacific ◽  
The Pacific Ocean ◽  
New Challenges

The Great East Japan Earthquake occurred on March 11, 2011. Tohoku region, off the coast of the Pacific Ocean, was severely damaged by the tsunami, and all of Japan was affected. Recently, torrential and guerrilla rains have been frequently occurring in Uji, Kyoto, which suffered massive damage on August 13, 2013. Soma, Fukushima, and Uji made tremendous efforts for supporting victims’ recovery by using spatial information and GIS. These successful efforts indicate that they had been using spatial information efficiently in their daily operations. This paper describes the learnings from the past efforts in disaster affected areas and discusses how these areas had been using spatial information for efficient daily operations. The paper makes suggestions to build a GIS-based information system with seamless interaction between daily operations and disaster management, and introduces new challenges faced by Kitakyushu, Fukuoka using spatial information based on cloud computing network for regional disaster resilient societies.

scholarly journals A REVIEW ON CITIZEN SCIENCE (CITSCI) APPLICATIONS FOR DISASTER MANAGEMENT

2018 ◽  
Vol XLII-3/W4 ◽  
pp. 301-306 ◽  
Author(s):  
S. Kocaman ◽  
B. Anbaroglu ◽  
C. Gokceoglu ◽  
O. Altan
Keyword(s):  
Online Education ◽  
Citizen Science ◽  
Disaster Management ◽  
Information Dissemination ◽  
Spatial Information ◽  
Open Data ◽  
Pollution Monitoring ◽  
Mobile Technologies ◽  
Accurate Information ◽  
Air Pollution Monitoring

<p><strong>Abstract.</strong> The traditional way of doing science has been changing with the recent movements on open science, open data and the world-wide spread of volunteer activities. With the help of technological advancements, in particular mobile technologies, do-it-yourself kits and free online education sources, ordinary citizens may contribute to scientific processes based on their interest and abilities. Citizen Science (CitSci) is an active research agenda which draws the interest of scientists from different disciplines. It investigates the various contributions that citizens could do to improve scientific process. These contributions are utilized in diverse areas ranging from biology to environmental monitoring to classification of galaxies, all of which have a spatiotemporal dimension. The emerging developments in spatial information science allow the public to understand their environment better and efficiently. In this way society would have the means to deal with complex modern problems including but not limited to water/air pollution monitoring and mapping a region after a natural disaster to aid relief and recovery efforts. In addition, there is a growing public demand for research projects involving CitSci; because such collaborative efforts can be critical to achieve sustainability goals. The aim of this paper is to provide an overview on the state-of-the art methods and applications where CitSci is a crucial component in different phases of disaster management, from environmental protection to risk analysis and aid provision. Use of CitSci methods in disaster situations can be vital for different reasons, such as acquisition of local and most current information, organization of help during emergency, development of instant rescue plans, accurate information dissemination, and monitoring of the post-disaster influences to the society and the environment. Open issues on the use of CitSci methods in disaster management, such as data quality, technical and management-related barriers, open-standards and interoperability, and volunteer engagement, will also be discussed.</p>

scholarly journals ALOS-2 and Sentinel-1 Backscattering Coefficients for Water and Flood Detection in Nakhon Phanom Province, Northeastern Thailand

2021 ◽  
pp. 39-48
Author(s):  
N. Tamkuan ◽  
M. Nagai
Keyword(s):  
Disaster Management ◽  
Spatial Information ◽  
Flood Mapping ◽  
Water Detection ◽  
L Band ◽  
Flood Detection ◽  
Temporal Dimensions ◽  
Area Monitoring ◽  
Sentinel 2 ◽  
Good Agreement

Synthetic Aperture Radar (SAR) plays an important role in disaster management, such as in flood area monitoring, as it can withstand severe weather or the rainy season. The main objective of this study was to investigate the potential of ALOS-2 (L-band) and Sentinel-1 (C-Band) SAR data for water and flood mapping. This study used ALOS-2 and Sentinel-1 to detect water areas from pre- and mid-flood events in Nakhon Phanom Province, Thailand. Water areas were determined via the thresholding method. The study assessed different polarizations of ALOS-2 (HH, HV) and Sentinel-1 (VH, VV) characteristics, as well as non-filtered and filtered images in the detection of water areas. Water extension detection from the optical sensor (Sentinel-2) was compared with SAR results. Water detection by ALOS-2 and Sentinel-1 images were independently observed with less cloud effect and showed good agreement with Sentinel-2. ALOS-2 HH demonstrated higher accuracy (92.46%) than ALOS-2 HV. Sentinel-1 VV provided the highest accuracy (95.45%) among all the results analyzed. The differences between L-band and C-band results accounted for 8.8% of the study area, with major differences appearing in the paddy fields. Water and flood detection by satellite images provided not only spatial information but also temporal dimensions. The results of this study can help inform decision-making in future flood mapping and disaster management.

scholarly journals Integrated flood disaster management and spatial information: Case studies of Netherlands and India

2014 ◽  
Vol XL-8 ◽  
pp. 147-154 ◽  
Author(s):  
S. Zlatanova ◽  
T. Ghawana ◽  
A. Kaur ◽  
J. M. M. Neuvel
Keyword(s):  
Risk Management ◽  
Emergency Management ◽  
Disaster Management ◽  
Emergency Response ◽  
Information Structure ◽  
Information Needs ◽  
Management Practices ◽  
Spatial Information ◽  
Flood Management

Spatial Information is an integral part of flood management practices which include risk management & emergency response processes. Although risk & emergency management activities have their own characteristics, for example, related to the time scales, time pressure, activities & actors involved, it is still possible to identify at least one common challenge that constrains the ability of risk & emergency management to plan for & manage emergencies effectively and efficiently i.e. the need for better information. Considering this aspect, this paper explores flood management in Netherlands& India with an emphasis on spatial information requirements of each system. The paper examines the activities, actors & information needs related to flood management. Changing perspectives on flood management in Netherlands are studied where additional attention is being paid to the organization and preparation of flood emergency management. Role of different key actors involved in risk management is explored. Indian Flood management guidelines, by National Disaster Management Authority, are analyzed in context of their history, institutional framework, achievements and gaps. Flood Forecasting System of Central Water Commission of India is also analyzed in context of spatial dimensions. Further, information overlap between risk & emergency management from the perspectives of spatial planners & emergency responders and role of GIS based modelling / simulation is analyzed. Finally, the need for an integrated spatial information structure is explained & discussed in detail. This examination of flood management practices in the Netherlands and India with an emphasis on the required spatial information in these practices has revealed an increased recognition of the strong interdependence between risk management and emergency response processes. Consequently, the importance of an integrated spatial information infrastructure that facilitates the process of both risk and emergency management is addressed.

scholarly journals OPTIMIZATION OF EMERGENCY EVACUATION IN FIRE BUILDING BY INTEGRATED BIM AND GIS

2019 ◽  
Vol XLII-4/W18 ◽  
pp. 131-139
Author(s):  
S. Atyabi ◽  
M. Kiavarz Moghaddam ◽  
A. Rajabifard
Keyword(s):  
Network Analysis ◽  
Disaster Management ◽  
Computer Aided Design ◽  
Spatial Information ◽  
Emergency Evacuation ◽  
Geometrical Model ◽  
Indoor Environments ◽  
Commercial Building ◽  
Underground Structures ◽  
Small Areas

Abstract. Building Information Model (BIM) is a database, which makes a detailed 3D geometrical model with rich semantic information of building, go beyond the standard Computer-Aided Design approach. BIM could be as an ideal source to store, formation model and analyses spatial information of internal environments. GIS is an effective tool for analysing the constant and dynamic variables in small areas such as indoor environments. Therefore, integration of the BIM and GIS is useful for integrating the internal environment and networks for designing optimal routes in emergency evacuation problems. Increasing complexity of high-rise buildings and underground structures lead to much more complication in urban disaster management. One of the main challenges in disaster management and emergency evacuation is to guide people in optimal routes to reach safe areas. In this paper, in order to create optimal routes in internal environments and create an internal geometric network model based on the internal nodes and edges, BIM of a 3D commercial building located in the 8th district of Tehran, was made and transferred to the ARCGIS that enables us to use routing algorithms to find the optimize routes between both internal positions. Flammability, occupancy load, width of exit access and distance of fire point criteria were considered to find the safest routes in emergency evacuation times. Network Analysis and Ant Colony's algorithm were applied for finding the safest routes. The results indicated that the Network Analysis was better in terms of processing time and finding short and safe paths related to the Ant Colony's algorithm.

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