Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/112830
DC Field | Value | |
---|---|---|
dc.title | Contextual algorithm adapted for NOAA-AVHRR fire detection in Indonesia | |
dc.contributor.author | Nakayama, M. | |
dc.contributor.author | Maki, M. | |
dc.contributor.author | Elvidge, C.D. | |
dc.contributor.author | Liew, S.C. | |
dc.date.accessioned | 2014-11-28T07:57:18Z | |
dc.date.available | 2014-11-28T07:57:18Z | |
dc.date.issued | 1999-11-20 | |
dc.identifier.citation | Nakayama, M.,Maki, M.,Elvidge, C.D.,Liew, S.C. (1999-11-20). Contextual algorithm adapted for NOAA-AVHRR fire detection in Indonesia. International Journal of Remote Sensing 20 (17) : 3415-3421. ScholarBank@NUS Repository. | |
dc.identifier.issn | 01431161 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/112830 | |
dc.description.abstract | A widely cited contextual algorithm for fire pixel detection was applied to NOAA-AVHRR data of Indonesia acquired during the severe fire season of 1997. The contextual algorithm tended to underestimate the number of fire pixels. Many fire pixels which could be identified visually in AVHRR band 3 imagery were missing in the output of the contextual algorithm. Through experimentation with the data. the authors were able to developed two alterations to the original algorithm to enhance the accuracy of fire detection in the Indonesian context. The enhanced algorithm was made capable of detecting fire pixels that the original algorithm failed to identify. | |
dc.source | Scopus | |
dc.type | Article | |
dc.contributor.department | CTR FOR REM IMAGING,SENSING & PROCESSING | |
dc.description.sourcetitle | International Journal of Remote Sensing | |
dc.description.volume | 20 | |
dc.description.issue | 17 | |
dc.description.page | 3415-3421 | |
dc.description.coden | IJSED | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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