Spectral characteristics of fire scars in Landsat-5 TM images of Amazonia
作者:
M. C. PEREIRA,
A. W. SETZER,
期刊:
International Journal of Remote Sensing
(Taylor Available online 1993)
卷期:
Volume 14,
issue 11
页码: 2061-2078
ISSN:0143-1161
年代: 1993
DOI:10.1080/01431169308954022
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
This work describes spectral characteristics of fire scars in an area of intense deforestation in the Amazon tropical forest as recorded in the seven Landsat-5 TM spectral channels of an image in 1985. Ground covers were divided into four themes: natural forests, ‘capoeiras’, pastures in general and fire scars. Single-cell and maximum likelihood classification algorithms were used in the analysis. TM channel 4 was the best to identify fire scars, with digital counts differences in relation to other themes about two times higher than in other channels. Fire scars were also detected in channel 5, with the limitation that recent scars could be mistaken with water. Channels 3 and 7 also contained information about the scars. Results indicated that TM images can be used in automatic detection and assessment of biomass burning in tropical forests, contributing to the understanding of biogeochemical cycles related to the use of fire in these areas. Comparison of the results for channels 3, 4 and 5 in two more TM scenes in 1987 and 1989, showed that minor variations occurred in the spectral definition of the themes, mainly as a result of atmospheric pollution from biomass burning.
点击下载:
PDF (1235KB)
返 回