A new algorithm for detection of small-sized fires from five-channel NOAA/AVHRR data is developed, implemented, and tested. A peculiarity of the algorithm is the use of a phenomenological model for description of small-sized fires at a subpixel level and interfering factors like cloud patches. Some examples of algorithm operation for detection of fires at the territory of the Tomsk Region are presented.