Research Seminar: Xiao Huang

Event Details
  • Date/Time:
    • Friday September 27, 2019
      12:20 pm - 1:35 pm
  • Location: Rm 258 Arch-W
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Summaries

Summary Sentence: Sensing and Improving Rapid Flood Mapping through Social Media Data Mining

Full Summary: Sensing and Improving Rapid Flood Mapping through Social Media Data Mining

Xiao Huang is a third-year Ph.D. candidate from the Department of Geography at University of South Carolina (expected to graduate in Spring 2020). He obtained his bachelor’s degree from Wuhan University in 2015 and his Master’s degree from Georgia Institute of Technology in 2016. In his 3-year Ph.D. career, he has published more than 10 leading-author publications, with 3 of them winning student competition awards in fields of applied geography, remote sensing, and cyberinfrastructure. In 2019 alone (so far), he received 7 grants/scholarships, both internal and external. Recently, He was awarded Paul Lovingood Graduate Research Award, the SPARC Graduate Research Grant and was one of the thirteen exceptional graduate students who were honored as Breakthrough Graduate Scholars by USC’s Office of the Vice President for Research. His research primarily focuses on geospatial analysis, environmental modeling, computer and data science, and Big Data analytics within the general area of GIScience.

Title:

Sensing and Improving Flood Awareness via Remote Sensing and Social Sensing

Abstract:

Remote sensing (RS) and social sensing (SS) have fundamentally facilitated the acquisition of flood awareness in many ways. Transcending field survey methods, remotely sensed images provide larger spatial coverage and make near real-time flood monitoring possible. Social sensing has witnessed increasing attention due to the popularity of crowdsourcing approaches. Volunteered geographical information (VGI), a type of crowdsourcing data, provides an alternative approach to reporting useful information about a flood in a real-time manner. In this talk, I will discuss some remote/social sensing challenges and innovative methods to monitor human-flood interactions during and after flood events. Specifically, I will address the potential of fusing heterogeneous data sources (RS and SS) via advanced geospatial models to provide enhanced flood awareness.

Additional Information

In Campus Calendar
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Groups

School of City & Regional Planning

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Faculty/Staff, Public, Undergraduate students
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Status
  • Created By: zkafkes3
  • Workflow Status: Published
  • Created On: Sep 19, 2019 - 3:12pm
  • Last Updated: Sep 19, 2019 - 3:12pm