1. Students will learn the fundamentals of remote sensing and
numerical/spatial analysis techniques commonly used in the 
analysis of geological/environmental data sets. They will learn 
how to apply remote sensing techniques in geological and 
hydrologic sciences.
 2. Students will become proficient at image processing and
spatial analysis techniques, including radiometric and geometric
enhancement, image classifications, spatial interpolation, and
georeferencing.
 3. Students will master the applications of these techniques
using ENVI image processing software (Environment for 
Visualizing Images and GIS (geographic information systems) 
framework to resolve geologic and environmental problems of 
interest.

January
History and Scope of Remote Sensing		
Electromagnetic Radiation		
What is GIS?

February
Multispectral and Hyperspectral Remote 
Sensing		
Coordinate Systems and Projections
Thermal Infrared Radiation
Rock and Mineral Spectroscopy

March
Active/Passive 
Microwave and Lidar	
Managing Spatial Data and Models
Satellite-based Models

April
Geologic Variables from Space Projects
Examples of Class Exercises: Geology, Hydrology, and Landforms 
of Georgia
Compositional and Structural Mapping
Using Lands at Assessment of Groundwater Resources in Arid 
Lands 
Disintegration of Wetlands (Mesopotamian Marshlands)
Terrestrial Water Storage Analysis Origin and Evolution of 
Groundwater in the Middle East Satellite-based Hydrologic 
Models Large Scale Structural Correlations in the Arabian-
Nubian Shield

All academic work must meet the standards contained in “A 
Culture of Honesty.” Students are responsible for informing 
themselves about those standards before performing any academic 
work. The course syllabus is a general plan for the course; 
deviations announced to the class may be necessary.