9th International Training Course on GIS for Disaster Risk Management

Time and Duration
Registration Deadline: 
Fri, 20/09/2013
Venue City: 
Bangkok
Basic Information
Date: 
21/10/2013 - 01/11/2013
Venue Country: 
Thailand
Event Organisers: 

Asian Disaster Preparedness Center (ADPC)

Co-organisers: 

- The Asian Institute of Technology (AIT) - The International Institute for Geo-Information Science and Earth Observation, University of Twente (ITC) - UNITARS Operational Satellite Applications Program (UNITAR-UNOSAT)

Language of event: 
English
Training Details
Training Event Type: 
Training Event
Training Target Audience: 
The course is open to all participants who are working or will be working in the organizations where spatial information is used or considered to be used for the purpose of disaster risk management, disaster management, or disaster risk reduction. There is no prerequisite GIS knowledge for participant who is interested in this course. The course welcome participants from all geographic areas, however the class size is limited to 30 persons. ADPC accepts nomination on a first come, first served basis provided the applicant meets the course requirement.
Is a certificate Issued?: 
No certificate issued or not known
Training Requirements: 

Participants must be fully conversant in English.

Training Tuition: 
3,175.00 USD
Tuition Remarks: 

The standard course fee of US$3,175 covers the course tuition, training materials, accommodation with breakfast, meeting package, and study visits. Participants will be responsible for their own travel expenses and arrangements, airport transfers, visa application, lunch and dinners, health/accident insurance, and other personal expenses. Participant who wish to seek own accommodation can choose an alternative course fee package B of US$2,275

Additional Information: 

The training will be held in Bangkok, Thailand. Exact venue to be confirmed at a later date.

COURSE OVERVIEW:

Rapid population growth and urbanization combined with extreme climatic events are causing a rapid increase in vulnerability of communities exposed to hazardous events. As a result, disasters are increasingly taking heavy toll of life and property. Unplanned growth both in urban and non-urban areas calls for an adequate preparation to reduce the impact of disasters. There is a great need to utilize Disaster risk information in planning for effective coping mechanisms of Disaster Risk reduction. 

Disaster risk information is spatial in nature and Geographic Information Systems (GIS) play an important role in disaster risk assessment and management. For this, there is a significant need to create awareness among the disaster management professionals regarding the importance of GIS usage.

The new curriculum of GIS4DRM course has been re-designed jointly by the Asian Disaster Preparedness Center (ADPC), the Asian Institute of Technology (AIT), the Faculty of Geo-Information Science and Earth Observation of the University of Twente, the Netherlands (ITC), and the United Nations Institute for Training and Researchs Operational satellite Applications Program (UNITAR-UNOSAT), with its main aim to provide an overview of the use of spatial information in Disaster Risk Management. The course not only reveals what spatial data is and how it is collected, but also emphasize on the use of such spatial data during pre- and post-disaster management such as during early warning, hazard, vulnerability and risk assessment, damage assessment, as well as in the design of risk reduction measures. The course ultimately hopes that scientific advancement can be utilized for better disaster risk reduction practices.        

 

OBJECTIVES:

Upon completion of the course, the participants will be able to:  

  • Describe and utilize spatial data, GIS and remote sensing in disaster risk assessment and management    
  • Utilize existing sources of historical disaster information and elements at risk data    
  • Apply GIS/remote sensing in hazard, vulnerability and risk assessment    
  • Employ risk information in emergency preparedness planning
  • Visualize hazard and risk information
  • Apply GIS/remote sensing to post-disaster damage assessment.