Gas and particulate matter which resulted from straw burning can seriously pollute the atmospheric environment and threaten human health and traffic safety. Based on the HJ-1B IRS data acquired in the non-harvest period and the harvest period, a straw-burning fire detection mode has been established. All types of fire spots during the harvest period were identified using a modified classic fire-detection algorithm and the IRS channel 3 and channel 4 measurements, and then a straw field identification criteria were established based on the channel 2 and channel 1 DN difference (B2-B1) using the two IRS data, in order to identify the straw-burning fires from the fires of all types. On the basis of the two HJ-1B IRS images acquired on Oct. 6 and Oct. 21, 2009, a straw-burning detection experiment in Jiangsu Province on Oct. 21, 2009, when the crops have entered into the harvest period, was carried out here. Finally, the straw-burning fires detected by IRS were compared with that detected by MODIS, we found that their correlation coefficient R2 is 0.685 2, which validated the rationality and feasibility of the method in this study.
WANG Ling, TIAN Qing-jiu, BAO Ying
. Straw-burning Fire Detection Using HJ-1B IRS Data[J]. SCIENTIA GEOGRAPHICA SINICA, 2011
, 31(6)
: 661
-667
.
DOI: 10.13249/j.cnki.sgs.2011.06.661
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