GIST604

035588

This course focuses on the integration of remote sensing with GIS and advance spatial analysis techniques. Principles of remote sensing examined include digital and multispectral image processing and enhancement, georectification, spectral characteristics, and land-use and land-cover boundary detection. As remote sensing deals with raster based data, there will also be an emphasis on integration of remotely sensed imagery and analysis with vector based data within ArcGIS. This leads to integrative (raster/vector) based issues such as projection, scale, map overlay functionality, as well as analysis techniques that require the transformation of data (vector to raster, or raster to vector) to perform advanced spatial analysis. The advanced spatial analysis portion of the course examines Z-score evaluation, point pattern analysis, kernel density analysis, spatial interpolation methodology, map algebra, and error and uncertainty estimations.

GRD - Regular Grades A, B, C, D, E

Graduate