Mapping forest post-fire canopy consumption in several overstory types using multi-temporal Landsat TM and ETM data

Jay D. Miller, Stephen Yool

Research output: Contribution to journalArticle

174 Citations (Scopus)

Abstract

To facilitate the identification of appropriate post-fire watershed treatments and minimize erosion effects after socio-economically important fires, Interagency Burned Area Emergency Rehabilitation (BAER) teams produce initial timely estimates of the fire perimeter and classifications of bum severity, forest mortality, and vegetation mortality. Accurate, cost-effective, and minimal time-consuming methods of mapping fire are desirable to assist rehabilitation efforts immediately after containment of the tire. BAER teams often derive their products by manually interpreting color infrared aerial photos and/or field analysis. Automated classification of multispectral satellite data are examined to determine whether they can provide improved accuracy over manually digitized aerial photographs. In addition, pre-fire vegetation data are incorporated to determine whether further gains in accuracy of mapped canopy consumption can be made. BAER team classifications from the Cerro Grande Fire were compared to estimates of overstory consumption produced using a pre-fire vegetation classification, and a change detection algorithm using bands 4 and 7 from July 1997 pre-fire Landsat Thematic Mapper (TM) and July 2000 post-fire Enhanced Thematic Mapper (ETM) data. BAER team classifications are highly correlated to overstory consumption and should produce high Kappa statistics when verified using the same dataset. Our three-class supervised classification of the change image incorporating a pre-fire vegetation classification yielded the highest Kappa at 0.86. A three-class unsupervised classification of the change image yielded a lower Kappa of 0.72. BAER team classifications yielded Kappas ranging from 0.38 to 0.63 using the same verification dataset.

Original languageEnglish (US)
Pages (from-to)481-496
Number of pages16
JournalRemote Sensing of Environment
Volume82
Issue number2-3
DOIs
StatePublished - Oct 2002

Fingerprint

overstory
Landsat
Landsat thematic mapper
Fires
canopy
rehabilitation (people)
taxonomy
Patient rehabilitation
vegetation classification
vegetation
consumption
Antennas
mortality
unsupervised classification
aerial photography
tires
tire
image classification
containment
Watersheds

ASJC Scopus subject areas

  • Computers in Earth Sciences
  • Earth-Surface Processes
  • Environmental Science(all)
  • Management, Monitoring, Policy and Law

Cite this

Mapping forest post-fire canopy consumption in several overstory types using multi-temporal Landsat TM and ETM data. / Miller, Jay D.; Yool, Stephen.

In: Remote Sensing of Environment, Vol. 82, No. 2-3, 10.2002, p. 481-496.

Research output: Contribution to journalArticle

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