Special Section on Remote Sensing Applications to Wildland Fire Research in the Eastern United States: Selected Papers from the 2007 EastFIRE Conference - Part 2

Analysis of the moderate resolution imaging spectroradiometer contextual algorithm for small fire detection

[+] Author Affiliations
Wanting Wang, John J. Qu, Xianjun Hao

EastFIRE Lab, College of Science, George Mason Univeristy, Research Building I, 4400 University Drive, Fairfax, VA 22030

Yongqiang Liu

Forestry Sciences Laboratory, USDA Forest Service, Center for Forest Disturbance Science, Athens, GA 30602

J. Appl. Remote Sens. 3(1), 031502 (January 15, 2009). doi:10.1117/1.3078426
History: Received November 5, 2007; Revised August 15, 2008; Accepted December 8, 2008; January 15, 2009; Online January 15, 2009
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Abstract

In the southeastern United States, most wildland fires are of low intensity. A substantial number of these fires cannot be detected by the MODIS contextual algorithm. To improve the accuracy of fire detection for this region, the remote-sensed characteristics of these fires have to be systematically analyzed. Using an adjusted algorithm, this study collected a database including 6596 remote-sensed fire pixels in 72 MODIS granules, of which 3809 fire pixels are missed by the MODIS contextual algorithm. The statistical distributions of the sensor-observed fire reflectance and brightness temperature at relevant spectral channels are analyzed. The study explains the reasons that the detection of low intensity fires by the MODIS contextual algorithm is significantly influenced by view angles, especially when view angles are greater than 40 degrees. This paper discusses and suggests several aspects which could improve regional detection of low intensity fires. The results indicate that 1) the R2> threshold R2> < 0.3 is still valid for detecting low intensity fires omitted by the MODIS contextual algorithm; 2) the threshold T4> > 310 K is too high, and a lower threshold of T4> > 293 K should be adopted instead; 3) the threshold ΔT > 10 K is also too high, and both algorithms that use it risk omitting small fires because of this threshold.

© 2009 Society of Photo-Optical Instrumentation Engineers

Topics

MODIS

Citation

Wanting Wang ; John J. Qu ; Xianjun Hao and Yongqiang Liu
"Analysis of the moderate resolution imaging spectroradiometer contextual algorithm for small fire detection", J. Appl. Remote Sens. 3(1), 031502 (January 15, 2009). ; http://dx.doi.org/10.1117/1.3078426


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