Want
to be on the cutting edge of science? Learn geospatial technologies at
the speed of light? Hyperspatial remote sensing combines the latest
technologies such as light detection and ranging
(LiDAR) with traditional image analysis techniques and Geographic
Information System (GIS). Please forward to any interested parties.
5 Credits (no requirements, opened to non-ESRM majors)
Summary:
You will be exposed to the principles of remote sensing using a
combination of traditional and latest techniques (example: automated
image segmentation/feature extraction).
Working with a conventional set of aerial and high resolution satellite
imagery in the first half of the course and with LiDAR (Light Detection
and Ranging) data in the second half of the course, you will have the
opportunity to apply these principles and
obtain hands-on experience. Environmental applications including
watershed analysis, change analysis, forest resources, wildlife, point
and non-point pollution, environmental monitoring, land-use planning,
urban-suburban-forestry interfaces, and outdoor recreation
will be discussed and illustrated throughout the course.
Lectures: T & Th 12:30 – 1:20
Lab: Session A T 2:30 – 3:50 Session B T 4:00 – 5:20