[Announcement of Selected Participants]: ASEAN Regional Training Course on Geospatial Big Data Applications for Sustainable Development

Background

The volume of data in the world is increasing exponentially. By some estimates, 90% of the data in the world has been created in the last two years, and it is projected to increase by 40% annually[1]. The data revolutionencompasses the earth observation data, open data movement, the rise of crowdsourcing, new ICTs for data collection, and the explosion in the availability of big data, together with the emergence of artificial intelligence and the Internet of Things — is already transforming society.Multi-temporal earth observation data and crodsourcedgeosptial data can help us identify depleting natural resources, diagnose underlying reason and can help us devise informed planning for sustainable development. According to UN global pulse to use big data for development we need to turnimperfect,complex, oftenunstructureddata intoactionableinformation. Often the tools and technologies for analysingmassive amounts of data are rapidly evolving and no single standard exists for generating actionalble information. This poses a huge challenge to the practitioners and decision maker for effectively utilizing geosptial big-data for decision making.

To meet this challenge, UNOSAT is offering an introductory course in the use of Geo-Spatial Information Technology applications for big data relevant to different domains such as disaster risk management, environmental monitoring, hazard mapping and disaster risk reduction for achieving Sustainable Development Goals (SDGs).

Organizers

• ASEAN Research and Training Center for Space Technology and Applications : (ARTSA)
• Ministry of Higher Education, Science, Research and Innovation
• Geo-Informatics and Space Technology Development Agency (Public Organization): (GISTDA)
• United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP)
• UNITAR’s Operational Satellite Applications : (UNOSAT)

Collaborators

• Hydro Informatics Institute (HII), Thailand
• Chulalongkorn University, Thailand
• King Mongkut’s Institute of Techmology Ladkrabang
• Chinese University of Hong-Kong (CUHK)
• United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA)
• The Regional Committee of United Nations Global Geospatial Information Management for Asia and the Pacific (UN-GGIM-AP)

Learning Objectives

At the end of the course participants should be able to:

• Define and describe basic concepts and terminology related to Geospatial Big Data Analytics
• Explain the advantages and limitations of using Geospatial Big Data Analytics
• Perform multi-temporal analysis for RADAR satellite image for flood dynamics analysis and damage estimation using Google Earth Engine
• Monitor disaster situation using webscraped geodata
• Utilise big data techniques for monitoring carbon emission, smog and forest fire using Google Earth Engine
• Undertake the process to prepare actionable information through visual communication

Expected Participants from ASEAN countries

The course is designed to accommodate ASEAN participants, who work in government sector as a public officer, from geoinformatics backgrounds and professional experiences. Previous experience in basic programming and algorithm development is recommended. Participation is limited to a maximum of 20 participants.

Agenda

*Agenda is tentative

 

Important Dates

Call for course application	27May 2019
Course application deadline	30 June 2019
Announcement of selected participants	5 July 2019
Sending invitation letter and attendance forms to all selected participants (for VISA purpose)	1 – 10 July 2019
Deadline for attendance form submission	20 July 2019
Travel to SKP, Thailand	4 Aug 2019
Geospatial Big Data Course	5 – 9 Aug 2019

Course Information [download]

---