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 accuracy assessment in natural resource remote sensing. Advanced geomatics software exercises and a final project are included. Prerequisite: GEOS 4413 and proficiency in a programming language.

Jason A. Tullis, Ph.D.
Assistant Professor, Remote Sensing
Department of Geosciences / CAST
Fulbright College of Arts and Sciences
University of Arkansas

jatullis@uark.edu

 

Spring Semester 2008 (in progress)

 

Spring Semester 2007

Syllabus (PDF)

Materials and Data (FTP)

Final Group Projects (PDF)

  1. "THEMIS Visual Images and Slope Classifications", K. Bryson and K. Coleman
  2. "Feature Extraction of Visual Detection Surfaces (VDS) in the City of Fayetteville", K. Park, C. Calhoun, and E.L. Harrell
  3. "Post Classification Change Detection to Assess Land Degradation (Desertification) and Urbanization in Western-Northern Badia in Al-Mafraq Governorate, Jordan", R. Al-Jawarneh
  4. "Vegetation Analysis Using TerraHawk Imagery", J. Defibaugh y Chávez, J. Jones, K. Lintvedt, and J. Riggins
 

Modified: 3 Jan 2008 by jatullis@uark.edu