Burn severity in Kuala Langat forest using : remote sensing technique / Mahfuzah Jaffar

Fire severity can be mapped using Landsat satellite imagery to detect changes in forestfired structures. The purpose of this study is to study the severity of the burn using remote sensing techniques. The objective of this study is to identify the severity of fire in Kuala Langat forest, to deter...

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Main Author:	Jaffar, Mahfuzah
Format:	Thesis
Language:	English
Published:	2018
Subjects:	Environmental aspects of forestry Remote sensing
Online Access:	https://ir.uitm.edu.my/id/eprint/21488/1/TD_MAHFUZAH%20JAAFAR%20AP%20R%2018_5.pdf
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id	my-uitm-ir.21488
record_format	uketd_dc
spelling	my-uitm-ir.214882018-09-06T08:07:35Z Burn severity in Kuala Langat forest using : remote sensing technique / Mahfuzah Jaffar 2018-09-05 Jaffar, Mahfuzah Environmental aspects of forestry Remote sensing Fire severity can be mapped using Landsat satellite imagery to detect changes in forestfired structures. The purpose of this study is to study the severity of the burn using remote sensing techniques. The objective of this study is to identify the severity of fire in Kuala Langat forest, to determine the surface temperature and to determine the greenness that grows in the forest of Kuala Langat. Landsat satellite image is used to calculate the Normalized Burn (NBR) ratio referring to the near infrared range (NIR) and the short wave infrared range (SWIR). Changes in NBR from prefire to postfire determine the value of dNBR to estimate the severity of the burned forests. Surface temperatures are identified in the Kuala Langat Forest during dry and regular seasons. Normalized Difference Vegetation Index (NDVI) is used to study images only after the fire and image 2 years after the fire to determine the level of green forest of Kuala Langat. All methods are processed in Erdas 2014 and ArcGIS versions. Burned severity classes maps, land surface temperature maps and map of Normalized Difference Vegetation Index Kuala Langat Forest are produced. 2018-09 Thesis https://ir.uitm.edu.my/id/eprint/21488/ https://ir.uitm.edu.my/id/eprint/21488/1/TD_MAHFUZAH%20JAAFAR%20AP%20R%2018_5.pdf text en public degree Universiti Teknologi Mara Perlis Faculty of Architecture, Planning and Surveying
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Environmental aspects of forestry Remote sensing
spellingShingle	Environmental aspects of forestry Remote sensing Jaffar, Mahfuzah Burn severity in Kuala Langat forest using : remote sensing technique / Mahfuzah Jaffar
description	Fire severity can be mapped using Landsat satellite imagery to detect changes in forestfired structures. The purpose of this study is to study the severity of the burn using remote sensing techniques. The objective of this study is to identify the severity of fire in Kuala Langat forest, to determine the surface temperature and to determine the greenness that grows in the forest of Kuala Langat. Landsat satellite image is used to calculate the Normalized Burn (NBR) ratio referring to the near infrared range (NIR) and the short wave infrared range (SWIR). Changes in NBR from prefire to postfire determine the value of dNBR to estimate the severity of the burned forests. Surface temperatures are identified in the Kuala Langat Forest during dry and regular seasons. Normalized Difference Vegetation Index (NDVI) is used to study images only after the fire and image 2 years after the fire to determine the level of green forest of Kuala Langat. All methods are processed in Erdas 2014 and ArcGIS versions. Burned severity classes maps, land surface temperature maps and map of Normalized Difference Vegetation Index Kuala Langat Forest are produced.
format	Thesis
qualification_level	Bachelor degree
author	Jaffar, Mahfuzah
author_facet	Jaffar, Mahfuzah
author_sort	Jaffar, Mahfuzah
title	Burn severity in Kuala Langat forest using : remote sensing technique / Mahfuzah Jaffar
title_short	Burn severity in Kuala Langat forest using : remote sensing technique / Mahfuzah Jaffar
title_full	Burn severity in Kuala Langat forest using : remote sensing technique / Mahfuzah Jaffar
title_fullStr	Burn severity in Kuala Langat forest using : remote sensing technique / Mahfuzah Jaffar
title_full_unstemmed	Burn severity in Kuala Langat forest using : remote sensing technique / Mahfuzah Jaffar
title_sort	burn severity in kuala langat forest using : remote sensing technique / mahfuzah jaffar
granting_institution	Universiti Teknologi Mara Perlis
granting_department	Faculty of Architecture, Planning and Surveying
publishDate	2018
url	https://ir.uitm.edu.my/id/eprint/21488/1/TD_MAHFUZAH%20JAAFAR%20AP%20R%2018_5.pdf
_version_	1783733751394598912

Burn severity in Kuala Langat forest using : remote sensing technique / Mahfuzah Jaffar

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