IEEE Geoscience and Remote Sensing Society (GRSS) Washington DC/Northern VA Chapter Seminar on April 7, 2016

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Dr. Chao Yang from China University of Geosciences will give a presentation titled "A geospatial social media information serving framework for EO scenarios" 

Abstract: In this Web 2.0 era, various social media services like Twitter, Instagram, and Sina Weibo attract billions of users all over the world to create and share magnanimity and ubiquitous social media information. The social media information often conveys geospatial information, and which had already presented its usage and value in the earth observation (EO) applications such as flood monitoring, wildfire alerting, and earthquake information reporting. Still, how to retrieve useful social media information with geospatial content and apply the information into the EO applications are big challenges. We put our research on how to build a social media information-retrieving framework and serve the social media information for EO missions. The proposed social media  information-retrieving framework has three main functions: 1st, collect the geo-tagged Sina Weibo (an equivalent Chinese Twitter) data automatically and effectively,  2nd, process the mass geo-tagged Weibo data, 3rd, web interfaces for  interactive data query and operate. The proposed framework contributes a general information platform for the scientist who want to retrieve the useful geospatial social media content and information.



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  • George Mason University, 4087 University Drive
  • Fairfax, Virginia
  • United States 22030
  • Building: Commerce Building
  • Room Number: Conference Room #3006
  • Click here for Map

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  Speakers

Chao Yang of China University of Geosciences (Wuhan)

Topic:

A geospatial social media information serving framework for EO scenarios

In this Web 2.0 era, various social media services like Twitter, Instagram, and Sina Weibo attract billions of users all over the world to create and share magnanimity and ubiquitous social media information. The social media information often conveys geospatial information, and which had already presented its usage and value in the earth observation (EO) applications such as flood monitoring, wildfire alerting, and earthquake information reporting. Still, how to retrieve useful social media information with geospatial content and apply the information into the EO applications are big challenges. We put our research on how to build a social media information-retrieving framework and serve the social media information for EO missions. The proposed social media  information-retrieving framework has three main functions: 1st, collect the geo-tagged Sina Weibo (an equivalent Chinese Twitter) data automatically and effectively,  2nd, process the mass geo-tagged Weibo data, 3rd, web interfaces for  interactive data query and operate. The proposed framework contributes a general information platform for the scientist who want to retrieve the useful geospatial social media content and information.

Biography:

Dr. Chao Yang is a faculty in the Faculty of Information Engineering, China University of Geosciences (Wuhan). He received the Ph.D. degree from Wuhan University in 2012. He is currently the Principle Investigator of two research projects: one is focused on Sensor Web development and applications funded by National Natural Science Foundation of China Sensor Web and another in social media for geospatial content collection and mining funded by National Bureau of Surveying and Mapping, China.

Address:388 Lumo Rd, Hongshan, , Wuhan, Hubei, China

Chao Yang of China University of Geosciences (Wuhan)

Topic:

A geospatial social media information serving framework for EO scenarios

Biography:

Address:Wuhan, Hubei, China