GIS 316 - Raster Analysis

GIS 316 - Raster Analysis

3.00 Cr
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.
Term: 
2020SP
Method: 
LEC
Faculty: 
Hokit, David
Spangenberg, Eric