We're still actively developing this site. If you encounter any issues, please report them! - Report an issue

ADVANCED ENVIRONMENTAL REMOTE SENSING

ENVIRST 956
Course Description

Focuses on the fundamental physical principles of terrestrial remote sensing, followed by an examination of advanced topics in earth observation and digital image processing. Topics include radiation interaction with the atmosphere and the surface; radiative transfer theory; land surface characteristics including energy balance; thermal sensing; atmospheric and radiometric correction of image data; automated cloud detection and removal. Applications of remote sensing data for environmental problems will be explored in depth, including biophysical remote sensing with 3D modeling of vegetation canopies, dense time series analysis, data mining techniques, data fusion, as well as object vs. per-pixel approaches to pattern recognition. Explores all major data types, including optical, RADAR, LiDAR, and hyperspectral data, and provide instruction in hands-on image processing using open source software.

Prerequisties

ENVIRST/F&WECOL/GEOG/GEOSCI/GLE/LANDARC 371 and graduate/professional standing

Satisfies

This course does not satisfy any prerequisites.

Credits

Not Reported

Offered

Not Reported

Grade Point Average
3.63

-3.66% from Historical

Completion Rate
91.67%

-5.12% from Historical

A Rate
83.33%

-5.45% from Historical

Class Size
12

-18.64% from Historical

Cumulative Grade Distribution

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

Similar Courses