WIT Press


An Automatic Forest Fires Identification Methodology Using FY3A/B VIRR Images

Price

Free (open access)

Paper DOI

10.2495/FIVA120091

Volume

158

Pages

11

Page Range

101 - 111

Published

2012

Size

831 kb

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.