GEOS 5423 - "Remote Sensing of Natural Resources"

Introductory digital image processing of remotely sensed data. Topics include data collection, laboratory design, scientific visualization, radiometric and geometric correction, enhancement, pattern recognition, artificial intelligence, and change detection in natural resource remote sensing. GIS-based exercises and a course project are included. Prerequisite: GEOS 4413 is recommended.

Jason A. Tullis
Associate Professor, Geography
Department of Geosciences / CAST
Fulbright College of Arts and Sciences
University of Arkansas

jatullis@uark.edu

 

Spring Semester 2012

Syllabus
Library
Lab Exercises
Selected Lab Data

 

Vector GIS
Principles of Remote Sensing
Seminar in GIScience and Remote Sensing

Modified: 1 Feb 2013