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...

Full description

Saved in:
Bibliographic Details
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/15752/1/P109%20pg798-805.pdf
http://umpir.ump.edu.my/id/eprint/15752/
http://ee.ump.edu.my/ncon/wp-content/uploads/2016/10/Proceeding-NCON-PGR-2016.zip
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Malaysia Pahang
Language: English
id my.ump.umpir.15752
record_format eprints
spelling my.ump.umpir.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.. http://ee.ump.edu.my/ncon/wp-content/uploads/2016/10/Proceeding-NCON-PGR-2016.zip
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic SD Forestry
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)
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.
format Conference or Workshop Item
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
title 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_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_sort forest fire occurrence analysis base on land brightness temperature using landsat data (study area: jalan kuantan-pekan, pahang, malaysia)
publisher Universiti Malaysia Pahang
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/15752/1/P109%20pg798-805.pdf
http://umpir.ump.edu.my/id/eprint/15752/
http://ee.ump.edu.my/ncon/wp-content/uploads/2016/10/Proceeding-NCON-PGR-2016.zip
_version_ 1651866897373724672