Paper
11 December 1998 Mapping forest fire impact from Landsat-TM imagery
Agustin Lobo, Nicolau Pineda, Rafael Navarro-Cedillo, Pilar Fernandez-Rebollo, Francisco J. Salas, Jose-Luis Fernandez-Turiel, Arturo Fernandez-Palacios
Author Affiliations +
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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Agustin Lobo, Nicolau Pineda, Rafael Navarro-Cedillo, Pilar Fernandez-Rebollo, Francisco J. Salas, Jose-Luis Fernandez-Turiel, and Arturo Fernandez-Palacios "Mapping forest fire impact from Landsat-TM imagery", Proc. SPIE 3499, Remote Sensing for Agriculture, Ecosystems, and Hydrology, (11 December 1998); https://doi.org/10.1117/12.332768
Lens.org Logo
CITATIONS
Cited by 7 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image segmentation

Earth observing sensors

Landsat

Vegetation

Image classification

Reflectivity

Atmospheric optics

Back to Top