Clasification for Burned Area Using Landsat 5tm and Identification of Backward Trajectory Air Transport to Chiang Rai, Thailand

Abstract

Forest fire and agricultural burning are considered the main sources of air pollution in the North of Thailand. They significantly have been found during the dry period between January and April of each year, with a peak in March. Chiang Rai is one of the northern provinces of Thailand that has always been detected in having high air pollution in each haze episode. There are two main objectives of the study. The first is to classify the burned area by analyzing the Maximum Likelihood and Supervised Classification from the multi spectral satellite data as of March 26, 2007 and April 10, 2010 employed by Landsat 5TM. The second is to identify back trajectories of air mass arriving in Chiang Rai. Daily backward trajectories at an altitude of 500 meters on March 1- 31, 2010 were calculated using HYSPLIT Model developed by the Air Resources Laboratory of the United States National Oceanic and Atmospheric dministration (NOAA). The result showed that burned area in 2010 was 2,045,554 rai or about 40% increase when compared with 1,211,345 rai in 2007. Transport patterns detected in Chiang Rai also showed that Wawee Sub-District was the most repeatable burned area. In addition, the southwesterly transport pattern that passed the south of Myanmar, Mae Hong Son and Chiang Mai was found most frequently.

Author

Sirimongkonlertkun, Nion

Journal

The 33rd Asian Conference on remote sensing,2012

Keywords

Supervised Classification, Landsat 5TM, back trajectory, transport pattern

References

http://a-a-r-s.org/acrs/administrator/components/com_jresearch/files/publications/A3-5.pdf