Forest Fire Occurrence Analysis Base on Land Brightness Temperature Using Landsat Data (Study Area: Jalan Kuantan-Pekan, Pahang, Malaysia)

Forest fire has become huge disaster every year, regardless of their causes, be it human activity or nature. While it is difficult to control nature, it is possible to minimizing fire hazards and avoid potential damage by utilizing remote sensing as one prevention step. Remote sensing plays an impor...

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Main Authors: Mohamad Eliyass, Jamaruppin, Bayuaji, Luhur, Ngahzaifa, Ab. Ghani, Rahman, Md. Arafatur, Farid Wajdi, Akashah, Azlan, Shah
Format: Conference or Workshop Item
Language:English
Published: Universiti Malaysia Pahang 2016
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/15752/
http://umpir.ump.edu.my/id/eprint/15752/1/P109%20pg798-805.pdf
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author Mohamad Eliyass, Jamaruppin
Bayuaji, Luhur
Ngahzaifa, Ab. Ghani
Rahman, Md. Arafatur
Farid Wajdi, Akashah
Azlan, Shah
author_facet Mohamad Eliyass, Jamaruppin
Bayuaji, Luhur
Ngahzaifa, Ab. Ghani
Rahman, Md. Arafatur
Farid Wajdi, Akashah
Azlan, Shah
author_sort Mohamad Eliyass, Jamaruppin
building UMP Institutional Repository
collection Online Access
description Forest fire has become huge disaster every year, regardless of their causes, be it human activity or nature. While it is difficult to control nature, it is possible to minimizing fire hazards and avoid potential damage by utilizing remote sensing as one prevention step. Remote sensing plays an important role for detecting and mapping forest fires by digitally and minimize cost. This process used Landsat satellite image and integrated with geographic information layer to derive Brightness Temperature. Brightness Temperature were analyzed three observations the data for forest fire for before, during, and after forest fire occur. This study about the forest fire incident occur in year 2014 that located at Jalan Kuantan – Pekan, Kuantan District of Pahang, Malaysia. The result shows the classification of level fire hazard in the study area and also show the transformation of temperature between pre-fire to post-fire.
first_indexed 2025-11-15T02:02:59Z
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institution Universiti Malaysia Pahang
institution_category Local University
language English
last_indexed 2025-11-15T02:02:59Z
publishDate 2016
publisher Universiti Malaysia Pahang
recordtype eprints
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spelling ump-157522019-10-30T08:53:56Z http://umpir.ump.edu.my/id/eprint/15752/ Forest Fire Occurrence Analysis Base on Land Brightness Temperature Using Landsat Data (Study Area: Jalan Kuantan-Pekan, Pahang, Malaysia) Mohamad Eliyass, Jamaruppin Bayuaji, Luhur Ngahzaifa, Ab. Ghani Rahman, Md. Arafatur Farid Wajdi, Akashah Azlan, Shah SD Forestry Forest fire has become huge disaster every year, regardless of their causes, be it human activity or nature. While it is difficult to control nature, it is possible to minimizing fire hazards and avoid potential damage by utilizing remote sensing as one prevention step. Remote sensing plays an important role for detecting and mapping forest fires by digitally and minimize cost. This process used Landsat satellite image and integrated with geographic information layer to derive Brightness Temperature. Brightness Temperature were analyzed three observations the data for forest fire for before, during, and after forest fire occur. This study about the forest fire incident occur in year 2014 that located at Jalan Kuantan – Pekan, Kuantan District of Pahang, Malaysia. The result shows the classification of level fire hazard in the study area and also show the transformation of temperature between pre-fire to post-fire. Universiti Malaysia Pahang 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/15752/1/P109%20pg798-805.pdf Mohamad Eliyass, Jamaruppin and Bayuaji, Luhur and Ngahzaifa, Ab. Ghani and Rahman, Md. Arafatur and Farid Wajdi, Akashah and Azlan, Shah (2016) Forest Fire Occurrence Analysis Base on Land Brightness Temperature Using Landsat Data (Study Area: Jalan Kuantan-Pekan, Pahang, Malaysia). In: Proceedings of The National Conference for Postgraduate Research (NCON-PGR 2016) , 24-25 September 2016 , Universiti Malaysia Pahang (UMP), Pekan, Pahang. pp. 798-805.. (Published) http://ee.ump.edu.my/ncon/wp-content/uploads/2016/10/Proceeding-NCON-PGR-2016.zip
spellingShingle SD Forestry
Mohamad Eliyass, Jamaruppin
Bayuaji, Luhur
Ngahzaifa, Ab. Ghani
Rahman, Md. Arafatur
Farid Wajdi, Akashah
Azlan, Shah
Forest Fire Occurrence Analysis Base on Land Brightness Temperature Using Landsat Data (Study Area: Jalan Kuantan-Pekan, Pahang, Malaysia)
title Forest Fire Occurrence Analysis Base on Land Brightness Temperature Using Landsat Data (Study Area: Jalan Kuantan-Pekan, Pahang, Malaysia)
title_full Forest Fire Occurrence Analysis Base on Land Brightness Temperature Using Landsat Data (Study Area: Jalan Kuantan-Pekan, Pahang, Malaysia)
title_fullStr Forest Fire Occurrence Analysis Base on Land Brightness Temperature Using Landsat Data (Study Area: Jalan Kuantan-Pekan, Pahang, Malaysia)
title_full_unstemmed Forest Fire Occurrence Analysis Base on Land Brightness Temperature Using Landsat Data (Study Area: Jalan Kuantan-Pekan, Pahang, Malaysia)
title_short Forest Fire Occurrence Analysis Base on Land Brightness Temperature Using Landsat Data (Study Area: Jalan Kuantan-Pekan, Pahang, Malaysia)
title_sort forest fire occurrence analysis base on land brightness temperature using landsat data (study area: jalan kuantan-pekan, pahang, malaysia)
topic SD Forestry
url http://umpir.ump.edu.my/id/eprint/15752/
http://umpir.ump.edu.my/id/eprint/15752/
http://umpir.ump.edu.my/id/eprint/15752/1/P109%20pg798-805.pdf