Introduction to collecting and mapping and analysis of spectral digital data. Theory and application of remote sensing, the electromagnetic spectrum, earth-energy interactions, photographic and photogrammetic principles, and operation of multispectral sensors. Applications include basic photo interpretation and satellite image analysis for agriculture, environmental assessment, forestry, geology, rangeland, urban, wildlife, and others. Advanced principles and applications in remote sensing, emphasizing digital image processing techniques. Spectral and spatial image enhancement, advance transformations, image classification, and change detection.
Course emphasizes hands-on lab and project work.
GIS methods for managing and describing error links with modeling and spatial and statistical analysis. Operational and management issues arising from scientific application of GIS to resource management.