Title :
The World Fire Web: proposal of a new discriminant function to increase the fire detection accuracy at global level
Author :
Simonetti, D. ; Carboni, S. ; Carmona-Moreno, C.
Author_Institution :
Joint Res. Centre, Comm. of the Eur., Ispra
Abstract :
The World Fire Web (WFW) is an image processing system developed by the European Commission, which contributes to better understanding the spatial-temporal distribution of global fire activity by detecting active fires. This system has been up-graded to process NOAA-AVHRR Pathfinder data in order to create long time series of active fire maps at the global scale for environmental studies. A first analysis of the original WFW products showed that the detection errors could vary from 95% in regions where the fire activity occur during the dry season to 5% between 60deg and 40deg latitude in the wet season. With the analysis of the spatial and temporal distribution of errors produced by the detection algorithm, this paper proposes and describes a new discriminant function which increases the detection accuracy of the system to greater than 95%
Keywords :
Web sites; error analysis; fires; geophysical signal processing; image processing; vegetation mapping; European Commission; NOAA-AVHRR Pathfinder data; WFW; World Fire Web; detection errors; discriminant function; dry season; environmental study; global level fire detection accuracy; image processing system; spatial distribution; temporal distribution; time series; wet season; Algorithm design and analysis; Detection algorithms; Error analysis; Fires; Humans; Image processing; Monitoring; Proposals; Remote sensing; Vegetation mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1370771
