GIS 316 Raster Analysis

This course will give students experience in application and issues surrounding using raster GIS data such as the raster structure (its advantages and limitations), appropriate data and procedures, surface modeling and 3D datasets. Integration of remote sensing data into raster GIS datasets will also be covered. Other topics will include: vector to raster conversion, resampling, raster modeling/map algebra, interpolation and digital terrain modeling and analysis.

Credits

3

Prerequisite

Take GIS 110 and GIS 220 or equivalent experience.

Faculty

Hokit, David |

Offered

Even Year Spring Semester