Evaluation of forest fire risk by the analysis of environmental data and TM images
作者:
F. MASELLI,
A. RODOLFI,
L. BOTTAI,
C. CONESE,
期刊:
International Journal of Remote Sensing
(Taylor Available online 1996)
卷期:
Volume 17,
issue 7
页码: 1417-1423
ISSN:0143-1161
年代: 1996
DOI:10.1080/01431169608948713
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
The evaluation of forest fire risk is an important issue in Mediterranean areas where the long arid season often creates favourable conditions for the occurrence of fires. In this Letter three indices related to this risk have been produced and compared for the western part of the Elba Island (Central Italy). The first index is based on the analysis of environmental information layers (topography, vegetation and soil type) within a Land Information System, while the other two are derived from a summer Landsat Thematic Mapper (TM) scene processed by unsupervised and supervised procedures, respectively. The results show the effectiveness of all these approaches, and, in particular, a greater accuracy of the supervised spectral index.
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