Toward operational monitoring of forest cover change in California using multitemporal remote sensing data

Authors

John Rogan, San Diego State University
Janet Franklin, San Diego State University
Doug Stow, San Diego State University
Lisa Levien, San Diego State University
Chris Fischer, San Diego State University

Document Type

Conference Paper

Abstract

This paper presents preliminary results of research to improve upon an existing operational forest change detection monitoring strategy in California. Comparisons were made between Landsat 5 TM and Landsat 7 ETM scene normalization techniques (absolute versus, relative). Prior to normalization, scenes containing wildfire smoke plumes were successfully corrected using a space-varying haze equalization algorithm. Simple dark object subtraction provided improved performance over relative (pseudo-invariant feature) approaches. A decision tree classifier produced high change map overall accuracy (86%) for five categories of forest cover change.

Publication Title

International Geoscience and Remote Sensing Symposium (IGARSS)

Publication Date

2001

Volume

7

First Page

3090

Last Page

3092

ISSN

2153-7003

DOI

10.1109/IGARSS.2001.978266

Keywords

data processing, ecology, forestry, harvesting, mining, plants, remote sensing

Repository Citation

Rogan, John; Franklin, Janet; Stow, Doug; Levien, Lisa; and Fischer, Chris, "Toward operational monitoring of forest cover change in California using multitemporal remote sensing data" (2001). Geography. 690.
https://commons.clarku.edu/faculty_geography/690