Announcement for ESRM 430 – Hyperspatial Remote Sensing in Natural Resource Management
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