Geography

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

Document Type

Article

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.

Publication Title

International Journal of Remote Sensing

Publication Date

2001

Volume

22

Issue

16

First Page

3101

Last Page

3121

ISSN

0143-1161

DOI

10.1080/01431160152558279

Keywords

fire, Landsat thematic mapper, mapping, remote sensing, semiarid region

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