Scientific data are often represented by assigning ranges of numbers to specific colors. The colors are then used to make an images which allow us to see patterns more easily. Students will make a false color image using a set of numbers.
LIDAR Remote Sensing Technologists uses remote sensing strategies to analyze data to solve problems in areas across the globe. They use LIDAR - Light Detection and Ranging - as a method of remote sensing to examine the surface of the Earth.
Remote sensing scientists use sensors to analyze data and solve regional, national and global concerns. For instance, natural resource management, urban planning, and climate and weather prediction are applications of remote sensing.
A model analyst develops models to help visualize, observe, and predict complicated data. Model analysis is the process of taking large amounts of data and separate it into a structure that makes it intelligible to the binary process of computers.
At the core of scientific visualization is the representation of data graphically - through images, animations, and videos - to improve understanding and develop insight.