Early detection of potential forest fires using satellite remote sensing techniques

In 1997/1998, Malaysia experienced one of the most severe forest fire episodes in history as a consequence of a prolonged dry season following the El- Nino phenomenon. Since then, uncontrolled fires, atmospheric pollutions and haze remained as a common problem throughout the dry period in this regio...

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Main Author:	Mohd. Hassan, Aida Hayati
Format:	Thesis
Language:	English
Published:	2008
Subjects:	TD Environmental technology Sanitary engineering
Online Access:	http://eprints.utm.my/id/eprint/11443/1/AidaHayatiMohdMFSKSM2008.pdf
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spelling	my-utm-ep.114432018-07-25T08:00:06Z Early detection of potential forest fires using satellite remote sensing techniques 2008-07 Mohd. Hassan, Aida Hayati TD Environmental technology. Sanitary engineering In 1997/1998, Malaysia experienced one of the most severe forest fire episodes in history as a consequence of a prolonged dry season following the El- Nino phenomenon. Since then, uncontrolled fires, atmospheric pollutions and haze remained as a common problem throughout the dry period in this region. The estimated cost of the damage caused by forest fires in Malaysia is about RM816.47 million a year. The loss by forest fire episodes has brought to light the importance of developing better tools for effective forest fire management systems. In this research, three sets of computer programmes were designed for: detecting hot spots; computing the fire risk index and generating spatial analysis for detected fires. Remote sensing and GIS techniques have both been integrated in this work. Eventually, a simple yet robust early warning system for forest fire detection in Malaysia has been devised. Thermal bands of MODIS (Moderate Resolution Imaging Spectroradiometer) were used to extract hot spot information and to generate a fire risk map. Proximity analysis was carried out using an extension in ArcView GIS software. The results from this research were compared with forest fire occurrence information from the Fire and Rescue Department of Malaysia (FRDM) and information of rainfall and temperature from the Malaysian Meteorological Services (MMS). High correlation (R2 = 0.8) was found between temperature derived from MODIS and the temperature obtained from the MMS. Forest fire map generated from the study also gave a high accuracy (71%). Normalized Difference Vegetation Index (NDVI) values derived from MODIS were found to be highly correlated (R2 = 0.7 and R2 = 0.85) with rainfall and temperature data obtained from the MMS, respectively. Hence, the output of the research shows that this system can be used as an early warning system mechanism to mitigate forest fire incidence and can be upgraded into a more complex system to enhance its functioning. 2008-07 Thesis http://eprints.utm.my/id/eprint/11443/ http://eprints.utm.my/id/eprint/11443/1/AidaHayatiMohdMFSKSM2008.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:71529?site_name=Restricted Repository masters Universiti Teknologi Malaysia, Faculty of Geoinformation Science and Engineering Faculty of Geoinformation Science and Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TD Environmental technology Sanitary engineering
spellingShingle	TD Environmental technology Sanitary engineering Mohd. Hassan, Aida Hayati Early detection of potential forest fires using satellite remote sensing techniques
description	In 1997/1998, Malaysia experienced one of the most severe forest fire episodes in history as a consequence of a prolonged dry season following the El- Nino phenomenon. Since then, uncontrolled fires, atmospheric pollutions and haze remained as a common problem throughout the dry period in this region. The estimated cost of the damage caused by forest fires in Malaysia is about RM816.47 million a year. The loss by forest fire episodes has brought to light the importance of developing better tools for effective forest fire management systems. In this research, three sets of computer programmes were designed for: detecting hot spots; computing the fire risk index and generating spatial analysis for detected fires. Remote sensing and GIS techniques have both been integrated in this work. Eventually, a simple yet robust early warning system for forest fire detection in Malaysia has been devised. Thermal bands of MODIS (Moderate Resolution Imaging Spectroradiometer) were used to extract hot spot information and to generate a fire risk map. Proximity analysis was carried out using an extension in ArcView GIS software. The results from this research were compared with forest fire occurrence information from the Fire and Rescue Department of Malaysia (FRDM) and information of rainfall and temperature from the Malaysian Meteorological Services (MMS). High correlation (R2 = 0.8) was found between temperature derived from MODIS and the temperature obtained from the MMS. Forest fire map generated from the study also gave a high accuracy (71%). Normalized Difference Vegetation Index (NDVI) values derived from MODIS were found to be highly correlated (R2 = 0.7 and R2 = 0.85) with rainfall and temperature data obtained from the MMS, respectively. Hence, the output of the research shows that this system can be used as an early warning system mechanism to mitigate forest fire incidence and can be upgraded into a more complex system to enhance its functioning.
format	Thesis
qualification_level	Master's degree
author	Mohd. Hassan, Aida Hayati
author_facet	Mohd. Hassan, Aida Hayati
author_sort	Mohd. Hassan, Aida Hayati
title	Early detection of potential forest fires using satellite remote sensing techniques
title_short	Early detection of potential forest fires using satellite remote sensing techniques
title_full	Early detection of potential forest fires using satellite remote sensing techniques
title_fullStr	Early detection of potential forest fires using satellite remote sensing techniques
title_full_unstemmed	Early detection of potential forest fires using satellite remote sensing techniques
title_sort	early detection of potential forest fires using satellite remote sensing techniques
granting_institution	Universiti Teknologi Malaysia, Faculty of Geoinformation Science and Engineering
granting_department	Faculty of Geoinformation Science and Engineering
publishDate	2008
url	http://eprints.utm.my/id/eprint/11443/1/AidaHayatiMohdMFSKSM2008.pdf
_version_	1747814855165870080

Early detection of potential forest fires using satellite remote sensing techniques

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