An Automatic Forest Fires Identification
Methodology Using FY3A/B VIRR Images
Author(s)
X. L. Qin, Z. H. Zhang, H. Yan & X. Zhu
Abstract
FengYun-3 (FY-3) is the second generation Polar Orbiting Meteorological
Satellite Series of Chinese meteorological satellite. FY3A and FY3B were
launched in the year 2008 and the year 2010 respectively. The Visible and
Infrared Radiometer (VIRR) carried by FY3A/B (FY3A/B-VIRR), which spatial
resolution is 1,100 meter at nadir and saturation temperature is more than 350k
in central wavelength at 3.74μm channel. Based on the analyzing results of
related bands of FY3A/B-VIRR by using typical samples, the algorithm applies
dynamic thresholds to fire identification according to the character of FY3A/B
VIRR images. The automatic forest fire identification program has been
developed and integrated the background GIS data in IDL language. At the same
time, the methodology and identification results have been validated by selecting
forest fires which have taken place in the northeast or south forest region of
China in nearly four years. The validation results showed that the commission is
more than 90% and the average omission is less than 10%. So, the fire
identification methodology can be satisfied regarding the need for the forest
fire identification operation in China.
Keywords: FY 3A/B-VIRR image, forest fire, remote sensing technique.
Keywords
FY 3A/B-VIRR image, forest fire, remote sensing technique.
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