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

John Rogan, Janet Franklin, Doug Stow, Lisa Levien, Chris Fischer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
Pages3090-3092
Number of pages3
Volume7
StatePublished - 2001
Externally publishedYes
Event2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001) - Sydney, NSW, Australia
Duration: Jul 9 2001Jul 13 2001

Other

Other2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001)
CountryAustralia
CitySydney, NSW
Period7/9/017/13/01

ASJC Scopus subject areas

  • Software
  • Geology

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    Rogan, J., Franklin, J., Stow, D., Levien, L., & Fischer, C. (2001). Toward operational monitoring of forest cover change in California using multitemporal remote sensing data. In International Geoscience and Remote Sensing Symposium (IGARSS) (Vol. 7, pp. 3090-3092)