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At the core of scientific visualization is the representation of data graphically - through images, animations, and videos - to improve understanding and develop insight. Data visualizers develop data-driven images, maps, and visualizations from information collected by Earth-observing satellites, airborne missions, and ground measurements. Visualizations allow us to explore data, phenomena and behavior; they are particularly effective for showing large scales of time and space, and "invisible" processes (e.g. flows of energy and matter) as integral parts of the models.


Ryan Turner says "My career has focused on software and software is ubiquitous, so I have been involved in many different projects. There is a lot of flexibility with software. I’ve worked on projects ranging from real-time displays of sounding rocket trajectories to enterprise messaging software tools for spacecraft operations centers." Read about the role of mentorship in his career.




Elizabeth Forsbacka is an instrument manager. She leads a diverse team to design, build and test Earth or space science instruments. She says "My job is to build a good team that can do it all. Our work from design through delivery of the spacecraft usually takes about four years." See what it's like to work on this sort of project.


Dr. Tom Loveland is a research geographer at EROS and director of the USGS Land Cover Institute. He has been engaged in research on the use of remote sensing for land use and land cover investigations for over 25 years and has conducted studies that have spanned local to global scales. He was among the first to create continental and global-scale land cover data sets derived from remotely sensed imagery.



This video is a resource that can be used alongside any activity that involves creating and developing questions. While the video focuses on questions about trees, the basic principles are necessary for asking scientific questions. 




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