Mapping fire-induced vegetation depletion in the Peloncillo Mountains Arizona and New Mexico

J. Rogan, Stephen Yool

Research output: Contribution to journalArticle

102 Citations (Scopus)

Abstract

Forest depletions caused by fire can be detected by remote sensors if the change event causes a change in surface reflective or thermal properties. Pre and post-fire TM imagery of a semi-arid region was used to map the burn scar of a management-ignited fire into three classes of fire severity. The multitemporal imagery was enhanced using several brightness, greenness, and wetness indices. The wetness indices were most accurate at delineating fire severity because fire severity appears related to changes in plant and soil moisture content. Overall kappa for Kauth Thomas Δ wetness, the TM 7/4 index, and the second standardised Principal Component were 0.62, 0.59, and 0.61 respectively. The highest overall kappa of 0.66 was achieved using combined Kauth Thomas Δ brightness, Δ greenness and Δ wetness indices.

Original languageEnglish (US)
Pages (from-to)3101-3121
Number of pages21
JournalInternational Journal of Remote Sensing
Volume22
Issue number16
DOIs
StatePublished - Nov 10 2001

Fingerprint

Fires
mountain
vegetation
imagery
Luminance
fire management
Arid regions
semiarid region
Soil moisture
moisture content
soil moisture
sensor
Moisture
Thermodynamic properties
index
Sensors

ASJC Scopus subject areas

  • Computers in Earth Sciences

Cite this

Mapping fire-induced vegetation depletion in the Peloncillo Mountains Arizona and New Mexico. / Rogan, J.; Yool, Stephen.

In: International Journal of Remote Sensing, Vol. 22, No. 16, 10.11.2001, p. 3101-3121.

Research output: Contribution to journalArticle

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