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Proceedings Paper

Mapping forest fire impact from Landsat-TM imagery
Author(s): Agustin Lobo; Nicolau Pineda; Rafael Navarro-Cedillo; Pilar Fernandez-Rebollo; Francisco J. Salas; Jose-Luis Fernandez-Turiel; Arturo Fernandez-Palacios
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Paper Abstract

We address the problem of estimating fire impact in Mediterranean forests based on Landsat-TM imagery, for which we have used a forest fire in Andalucia (S. Spain) as a case of study. We processed two LANDSAT-TM scenes, acquired before and after the date of the fire. The post-fire scene was segmented and a table of segment statistics was submitted to a hierarchical model-based agglomerative clustering. The boundary defined by the classification closely matches the boundary defined by helicopter. We also produced an image classification of the pre-fire image based on image segmentation and canonical analysis and studied the trajectories of burnt and not-burnt centroids in the Kauth- Thomas plane. The trajectories indicated the existence of a differential response to fire and to phenologic change. We modeled the post-fire conditions as if the region had not been burnt and defined as Index of Fire Impact as the difference between the actual and the modeled second Kauth-Thomas component. The Index of Fire Impact is significantly related to field estimates, but with a scatter that introduces uncertainty in the inversion.

Paper Details

Date Published: 11 December 1998
PDF: 8 pages
Proc. SPIE 3499, Remote Sensing for Agriculture, Ecosystems, and Hydrology, (11 December 1998); doi: 10.1117/12.332768
Show Author Affiliations
Agustin Lobo, Consejo Superior de Investigaciones Cientifica (Spain)
Nicolau Pineda, Consejo Superior de Investigaciones Cientifica (Spain)
Rafael Navarro-Cedillo, Univ. de Cordoba (Spain)
Pilar Fernandez-Rebollo, Univ. de Cordoba (Spain)
Francisco J. Salas, Univ. de Cordoba (Spain)
Jose-Luis Fernandez-Turiel, Consejo Superior de Investigaciones Cientifica (Spain)
Arturo Fernandez-Palacios, Consejeria de Medio Ambiente (Spain)

Published in SPIE Proceedings Vol. 3499:
Remote Sensing for Agriculture, Ecosystems, and Hydrology
Edwin T. Engman, Editor(s)

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