Monitoring Fire over Indonesia Using MODIS Data

Cahyono, Bowo Eko

Cahyono 2016.pdf (3.813Mb)

Access Status

Open access

Authors

Cahyono, Bowo Eko

Date

2017

Supervisor

Dr Peter Fearns

Dr Brendon McAtee

Type

Thesis

Award

PhD

Metadata

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Faculty

Science and Engineering

School

School of Applied Science

URI

http://hdl.handle.net/20.500.11937/48464

Collection

Curtin Theses

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.