Course Description
A geospatial image analysis course that will allow students to obtain necessary skills to process airborne/satellite images for environmental resources mapping and monitoring. Topics covered include image preprocessing, enhancements, classifications, and change detection.
Additional Requirements for Graduate Students:
Graduate students will be assigned extra readings (5 research articles total in a semester) that describe how advanced remote sensing tools are used to investigate a research problem. Graduate students are required to write and submit a 1-page synopsis and critique of each article's methodology.
Athena Title
Digital Image Analysis
Undergraduate Prerequisite
GEOG 4350/6350-4350L/6350L or permission of department
Graduate Prerequisite
GEOG 4350/6350-4350L/6350L or permission of department
Semester Course Offered
Offered spring
Grading System
A - F (Traditional)
Course Objectives
On completion of this course, students will be able to: - Understand the information content in remotely sensed data - Understand the theory behind radiative transfer and how to correct satellite images to remove atmospheric effects and other systematic and non-systematic errors - Use satellite data analysis techniques for developing map products of environmental resources - Understand how advanced remote sensing techniques using satellite data can be employed to address geoscientific applications, such as invasive plant species mapping, benthic habitat mapping, vegetation health mapping, and water quality mapping
Topical Outline
Review of basic principles of remote sensing and image processing Radiative transfer in atmosphere - Atmospheric correction of images Review of satellite image enhancement and feature extraction Radiative transfer in water column Multispectral/hyperspectral image processing for water resources mapping Multispectral/hyperspectral image processing for vegetation resources mapping Remote sensing of marine and coastal ecosystem