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Visualization Community Seminar Series: Raechel White: Making Sense of the Aerial Photograph: Visualization and Understanding Our Environment

Visualization Community Seminar Series: Raechel White: Making Sense of the Aerial Photograph: Visualization and Understanding Our Environment

Description of the series:

The Visualization Community Seminar Series is a place for anyone interested in visualization/data visualization to learn about emerging ideas, research and methods. Faculty, students, and community members are invited to attend sessions where an invited visualization practitioner(s) will share their research and methods. The goal of this seminar series is to build a community of practice around visualization that crosses disciplinary boundaries and techniques. Anyone with an interest in the topic of visualization is welcome and encouraged to attend! Feel free to bring your lunch.

Making Sense of the Aerial Photograph: Visualization and Understanding Our Environment

The aerial photograph is the precursor of modern satellite imagery. These images have not only captured the imaginations of the public, they now serve as a common gateway to sense-making about current physical and social events. In this discussion, we approach these remotely sensed images as visualization tools, and discuss some of the ways in which images have been used to facilitate spatial thinking.

Bio

Dr. Raechel White is an assistant professor in the Department of Geography, Environment, and Spatial Sciences at Michigan State University. Her research intersects human and computational methods of information extraction from remotely sensed images. Her work is motivated by an interest in improving human sense-making with imagery for a variety of information extraction tasks and the use of human sense-making to improve expert-driven methods of image analysis, such as Geographic Object-Based Image Analysis.

Date:
Friday, October 20, 2017
Time:
12:00pm - 1:00pm
Time Zone:
Eastern Time - US & Canada (change)
Categories:
  Digital Scholarship