Title of article :
Remote sensing of bush fire dynamics in Central Africa from 1984 to 1988: analysis in relation to regional vegetation and pluviometric patterns
Author/Authors :
Koffi، نويسنده , , B. and Grégoire، نويسنده , , J.-M. and Mahé، نويسنده , , G. and Lacaux، نويسنده , , J.-P.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 1995
Pages :
22
From page :
179
To page :
200
Abstract :
Spatial and temporal subcontinental patterns of fire distribution in Africa, may vary strongly from year to year. These variations may be of climatic or anthropic origin. Global Area Coverage (GAC) data, from the Advanced Very High Resolution Radiometer (AVHRR), are known both to provide a good description of fire calendar and on a continental scale, a good indicator of locations of intense fire activity. In fact, the GAC data, available on a daily basis back to July 1981, is the only source of information actually available to determine burning patterns both on a continental scale and over long periods of time. This study presents the spatio-temporal distribution of vegetation fire in Central Africa, as derived from GAC imagery, over the four 1984/85 to 1987/88 dry seasons of the Northern Hemisphere (November to February periods). The analysis of the mean fire distribution patterns over the four dry seasons, as defined by vegetation cover and pluviometric conditions, shows a north to south gradient of fire activity in the savannah domain: This gradient of fire activity has been previously related to the annual pluviometric calendar and the amount of rainfall. The strong interannual variability in fire activity observed for this four-years-period could not, however, be explained by the monthly pluviometric patterns. The observed fire gradient therefore seems to result from additional meteorological or anthropic parameters. The methodology used in this study demonstrates the potential of GAC data for fire monitoring at a subcontinental scale. Current work is extending the area of interest to the entire African continent using the 10-yr-period of GAC imagery.
Journal title :
Atmospheric Research
Serial Year :
1995
Journal title :
Atmospheric Research
Record number :
2244528
Link To Document :
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