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dc.contributor.authorCahyono, Bowo Eko
dc.contributor.supervisorDr Peter Fearns
dc.contributor.supervisorDr Brendon McAtee
dc.date.accessioned2017-02-08T03:30:50Z
dc.date.available2017-02-08T03:30:50Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/20.500.11937/48464
dc.description.abstract

Fire monitoring over Indonesia using MODIS satellite data is analysed using the Indofire and MOD14 algorithms. The study shows cloud cover, land cover types, seasons, and climate parameters influence the distribution of detected fires. There is potential to adjust algorithm threshold coefficients to correct for wet season versus dry season biases.

en_US
dc.publisherCurtin Universityen_US
dc.titleMonitoring Fire over Indonesia Using MODIS Dataen_US
dc.typeThesisen_US
dcterms.educationLevelPhD
curtin.departmentSchool of Applied Scienceen_US
curtin.accessStatusOpen accessen_US
curtin.facultyScience and Engineeringen_US


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