Course Detail
Units:
3.0
Course Components:
Lecture
Enrollment Information
Enrollment Requirement:
Prerequisites: "C" or better in GEOG 3110.
Course Attribute:
Sustainability - Limited
Description
Graduate students should enroll in GEOG 6110 and will be held to higher standards and/or more work. High-resolution multispectral data, coupled with expanding computing power and increasingly sophisticated image processing software, provides a large set of quantitative, graphic, and science visualization tools for solving science-based environmental problems using remote sensing data. The theory and application of image-processing techniques such as data corrections, enhancements, transformations, and classification are aimed at specific environmental problems in the natural and human domains. Hands-on experience is gained through image processing laboratory techniques and real-world science projects.