Remote Sensing and Spatial Statistics
Remote sensing skills such as ortho-rectification, color balancing, tiling imagery, and automate feature recognition will be used to analyze spatial data such as aerial photography, hyperspectral imagery, multi-spectral imagery, LiDAR, microwave, and RADAR. Spatial statistics focuses on analyzing patterns, mapping clusters, and identifying geographic distributions using point pattern analysis spatial autocorrelation, spatial regression and kriging. Prerequisite: EVRN325.
Source: Academic Catalog 2020-21