A stochastic model for active fire detection using the thermal bands of MODIS data
International Geoscience and Remote Sensing Symposium (IGARSS)
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2014
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sg-nus-scholar.10635-1128452015-01-30T22:20:22Z A stochastic model for active fire detection using the thermal bands of MODIS data Liew, S.C. Lim, A. Kwoh, L.K. CTR FOR REM IMAGING,SENSING & PROCESSING Detection Forest fire Infrared Model MODIS Stochastic International Geoscience and Remote Sensing Symposium (IGARSS) 7 4465-4467 IGRSE 2014-11-28T07:57:28Z 2014-11-28T07:57:28Z 2004 Conference Paper Liew, S.C.,Lim, A.,Kwoh, L.K. (2004). A stochastic model for active fire detection using the thermal bands of MODIS data. International Geoscience and Remote Sensing Symposium (IGARSS) 7 : 4465-4467. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/112845 NOT_IN_WOS Scopus |
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Detection Forest fire Infrared Model MODIS Stochastic |
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Detection Forest fire Infrared Model MODIS Stochastic Liew, S.C. Lim, A. Kwoh, L.K. A stochastic model for active fire detection using the thermal bands of MODIS data |
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International Geoscience and Remote Sensing Symposium (IGARSS) |
author2 |
CTR FOR REM IMAGING,SENSING & PROCESSING |
author_facet |
CTR FOR REM IMAGING,SENSING & PROCESSING Liew, S.C. Lim, A. Kwoh, L.K. |
format |
Conference or Workshop Item |
author |
Liew, S.C. Lim, A. Kwoh, L.K. |
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Liew, S.C. |
title |
A stochastic model for active fire detection using the thermal bands of MODIS data |
title_short |
A stochastic model for active fire detection using the thermal bands of MODIS data |
title_full |
A stochastic model for active fire detection using the thermal bands of MODIS data |
title_fullStr |
A stochastic model for active fire detection using the thermal bands of MODIS data |
title_full_unstemmed |
A stochastic model for active fire detection using the thermal bands of MODIS data |
title_sort |
stochastic model for active fire detection using the thermal bands of modis data |
publishDate |
2014 |
url |
http://scholarbank.nus.edu.sg/handle/10635/112845 |
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1681094557593239552 |