Instructor Class Description

Time Schedule:

• Autumn Quarter 2009
• Winter Quarter 2010

Ludmila M. Moskal
ESRM 430
Seattle Campus

Hyperspatial Remote Sensing in Natural Resource Management

Focuses on hyperspatial remote sensing fundamentals, interpretation and manipulation of aerial photography, satellite imagery, and Light Detection and Ranging (LiDAR). Uses traditional and 'state of the art' image processing techniques. Students learn to evaluate available hyperspatial remote sensing data sources and design simple projects related to environmental applications. Offered: Sp.

Class description

High resolution remote sensing including aerial photography, high resolution satellite imagery and aerial/ground-based LiDAR.

Student learning goals

General method of instruction

Recommended preparation

Class assignments and grading

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Modified:November 11, 2009