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Application of Multi - Temporal Modis Land and Surface Temperature for Forest Fire Risk Estimation

Tay Lip Hong RS/GIS Engineer
Cilix Corp. Sdn. Bhd.,
Email: liphong_tay@cilix.org

Tay Lip Hong
RS/GIS Engineer
Cilix Corp. Sdn. Bhd.
Email: liphong_tay@cilix.org

Peng Guangxiong
Phd Student
Beijing Normal University
Email: pgxg1010@ires.cn

Lim Boon Sheng
RS/GIS Engineer
Cilix Corp. Sdn. Bhd.
Email: lbs@cilix.org

Li Jing
Beijing Normal University
Email: lijing@ires.cn

Norizan Abdul Patah, Research Officer, Malaysian Center for Remote Sensing, norizan@macres.gov.my

Forest fire is a serious disaster which destroys vegetation and poses an enormous danger to wildlife, human life and properties. Therefore fire danger estimation is very important for forest fire management. Land surface temperature (LST) is one of the most important parameters for evaluating forest fire risk. A practical split-window algorithm proposed by Mao et al. (2005) was utilized in this study. This method involves two essential parameters i.e. transmittance and emissivity for Moderate-resolution Imaging Spectroradiometer (MODIS) LST retrieval. LST from multi-temporal MODIS data of tropical region were retrieved at forest fire prone season using this algorithm to define a relation between trends of LST and forest fire. The result shows LST retrieved using this method is feasible in tropical region. An increasing trend of multi-temporal LST before fire ignition has been found. This suggested that multi-temporal LST can be an estimator and parameter for forest fire danger evaluation. This finding serves as a very precious milestone which is very important for forest fire risk estimation.
KEYWORDS: Land Surface Temperature (LST), MODIS, Fire Risk