We use cookies to imporve your experience. By using our site, you consent to our cookie policy Learn more
arrow arrow_up breadcrumb-chevron-right breadcrumb-home dropdown-arrow-down loader GALogoWUNEP GALogo2018 GALogo2019 menu read-more-plus rrss-email rrss-facebook rrss-flickr rrss-instagram rrss-linkedin rrss-twitter rrss-vimeo rrss-youtube rrss_google_plus rrss_skype rrss_web pdf search share Completed In Process Ideas In Develpment Toogle Toogle Thumbnail View List View play close filter-collapse filter edit media_photo_library media_video_library graphics pictures videos collections next

A Parametrised Bispectral Model for Savanna Fire Detection Using AVHRR Night Images

31 Dec 1993

Ten years ago Dozier presented a bispectral model for the detection of sub-resolution high temperature features in NOAA AVHRR satellite images. This model builds on Planck's law and theoretically derives brightness temperatures and fractions of sub-resolution fields of high temperatures, such as wildfires, using AVHRR channel 3 and 4 thermal data. The original Dozier model was based on a larger number of assumptions. Most fire detection studies have therefore turned to simpler approaches. Still, the original model has been successfully applied in several fire studies in various ecosystems. Lately, some studies have tried to refine the model.

In this study the Dozier model has been modified through inclusion of some steps of parametrisation and applied for savanna fire detection. The parametrisation gives an operational and unbiased approach to extract the temperature of the non-burning part of the ground resolution cell. To bypass the problem of reflected solar radiation in the daytime in the AVHRR channel 3 wavelengths, night-time images are used. The constraint of channel 3 sensor saturation for African savanna environments in the daytime during the hottest period of the year is then also avoided. The development of the approach and its application to AVHRR night-time images are shown for images of the 1989-90 fire season of the Senegal and the Gambia, West Africa. The potential usage of the method for fire detection and analysis here, and in other ecosystems, is discussed.

The pdf file is available by purchase in the link:


Status: Completed

Type: Staff Publications

Author: Sindre Langaas

Year of publication: 1993

Publisher: International Journal of Remote Sensing

Tags: Africa fire Gambia Senegal West Africa satellite

Read More