Title

Remotely Sensed Data to Map Forest Age Class by Cover Type in East Texas

Authors

Daniel Unger, Arthur Temple College of Forestry and Agriculture, Stephen F. Austin State UniversityFollow
I-Kuai Hung, Arthur Temple College of Forestry and Agriculture, Stephen F. Austin State UniversityFollow
Jeffrey M. Williams, Arthur Temple College of Forestry and AgricultureFollow
James Kroll, Arthur Temple College of Forestry and Agriculture, Stephen F. Austin State UniversityFollow
Dean W. Coble, Arthur Temple College of Forestry, Stephen F. Austin State University, Nacogdoches, TX 75962-6109Follow
Jason Grogan, Arthur Temple College of Forestry and Agriculture, Stephen F. Austin State UniversityFollow

Document Type

Presentation

Publication Date

10-7-2005

Abstract

• Remote sensing in conjunction with ground truthing, can accurately quantify forest composition and age distributions in East Texas.
• Method uses standardized and readily available data available to the general public.
• Method was shown to be effective in terms of time and cost.

Repository Citation

Unger, Daniel; Hung, I-Kuai; Williams, Jeffrey M.; Kroll, James; Coble, Dean W.; and Grogan, Jason, "Remotely Sensed Data to Map Forest Age Class by Cover Type in East Texas" (2005). Faculty Publications. 6.
https://scholarworks.sfasu.edu/spatialsci/6