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DESCRIPTION
This course covers the foundations of
remote sensing through introductory digital image processing of
satellite data. The electromagnetic spectrum and image interpretation
are first introduced. Then, fundamentals of multispectral
image processing for remote sensing analyses are covered, including sensors
and platforms,
data acquisition, image formats and prepocessing, image enhancement,
classification and land cover mapping, and assessment of
thematic map accuracy. The course has a split lecture and lab format
using state-of-the-art software and real-world data sets.
OBJECTIVES
With a rigorous introduction to remote
sensing and techniques of digital image processing, students will gain:
- Current knowledge of the diverse sensors,
data, formats, and applications of Earth observation imagery;
- Analytical problem-solving abilities for
both scientific and practical applications;
- Technical proficiency operating state-of-the-art
software in labs, projects, and presentations.
PREREQUISITES
The following knowledge (or coursework) is strongly encouraged:
- Introductory geography or
environmental science (e.g., GEOG 101S)
- Elementary statistics (STAT 130M)
- Knowledge of maps, coordinates, and
basic GIS (GEOG 300)
MATERIALS
Student E-mail and Network accounts
REQUIRED TEXT
Campbell, James B. 2001. Introduction
to Remote Sensing, third edition, Guilford Press, New York.
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SAMPLE STUDY AREAS
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Great Smoky Mts, TN/NC
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and many more....
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