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TitleDay and night-time active fire detection over North America using NOAA-16 AVHRR Data
DownloadDownloads (Preprint)
LicencePlease note the adoption of the Open Government Licence - Canada supersedes any previous licences.
AuthorAbuelgasim, A; Fraser, R
SourceIGARSS 2002, Toronto, Canada, June 24-28; 2002., Open Access logo Open Access
Alt SeriesEarth Sciences Sector, Contribution Series 20043067
Mediapaper; CD-ROM; on-line; digital
File formatpdf
Released2002 01 01
AbstractThis paper presents an investigation of the applicability of NOAA-16/AVHRR (N-16) satellite data for detecting and mapping active wildfires across North American forest ecosystems. Two fire detection algorithms were developed for application to N-16 day and night-time daily imagery. The algorithms exploit both the multi-spectral and thermal information from the AVHRR daily images. For daytime data collection N-16 provides 3 reflective bands, namely, red, near infrared and short-wave infrared (SWIR), in addition to two thermal brightness temperature bands centred at 10.8mm and 12mm. During night's time data collection the short-wave infrared band is switched to the thermal brightness temperature band centred at 3.7mm. This band in particular has been extensively used for detecting active fires.

The fire algorithms have two major steps: detection of potential fires followed by false fire elimination. The threshold tests developed for fire identification and false fire removal were optimised through a trial-and-error approach using a database of active fire pixels over the whole of North America. The database was generated from a large number of single-daytime and night-time AVHRR scenes, where the fire pixels were identified visually on the images aided by the associated daytime smoke plumes. The SWIR band was found to be sensitive only to large burning fires leading to a noticeable spike in the measured reflectance. However, a serious limitation with the SWIR band is that small burning fires are not easily detectable and quite a number of active fires go undetected. Night detection does not pose such a limitation and has allowed for significantly higher detection rates. Overall night detection provides reasonably good alternative for the reduced sensitivity of the SWIR band.

The set of day and night algorithms was used to generate daily active fire maps across North America. Such a combined approach for fire detection leads to an improved detection rate. Selected validation sites in western Canada and the United States, showed reasonable correspondence with the location of fires mapped by the Canadian Forest Service and the USDA Forest Service using conventional means.


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