Integration of Early Warning Systems and Mobile Apps to Enhance Hot Spot Forest Fire Detection and Response

Authors

  • Norsuzila Ya’acob School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
  • Nur Farhana Abd Aziz School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
  • Danang Lelono Department of Computer Science and Electronics, Mathematics and Natural Sciences, Universitas Gadjah Mada, Sekip Utara, Bulaksumur, Jongjakarta 55281, Indonesia
  • Akmarul Nizam Zainudin School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
  • Muhammad Harith Halim School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
  • Azita Laily Yusof School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
  • Murizah Kassim School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia

Keywords:

Forest fire, LULC, GIS, NDMI, NBR, LST, NDVI, early warning system, landsat 8

Abstract

A forest fire is a natural disaster that is caused by hot weather and a very dry landscape in a certain place. However, it also can be caused by human activity such as excessive logging activity, open burning that can cause thinning in the ozone layer and excessive use of chlorofluorocarbons (CFCs). Today, it appears that most people own smartphones and a variety of mobile applications are available to assist users in their daily lives. To identify the susceptibility of hotspot forest fires in Sungai Karang and Raja Muda Musa Forest Reserve, Selangor, Malaysia, this study investigates the causes that cause forest fires. The objective of this project is to develop an early warning phone application using Android Studio and Java programming languages. The method that will be used in this project is by using satellite images from LANDSAT 8 from the USGS website. To support this study, a variety of data or parameters, including LST, NDVI, NBR, NDMI and LULC have been gathered and compiled using a Geographical Information System (GIS). This information was taken from the shapefile of Landsat 8 after it underwent supervised classification. Then, all data taken will be used to develop a phone application using Android Studio and Java programming language. The result is all users can notify the condition of the landscape in Sungai Karang and Raja Muda Musa Forest Reserve which can start a forest fire in real time.

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Author Biographies

Norsuzila Ya’acob, School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia

norsuzila@uitm.edu.my

Nur Farhana Abd Aziz, School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia

nurfarhana2605@gmail.com

Danang Lelono, Department of Computer Science and Electronics, Mathematics and Natural Sciences, Universitas Gadjah Mada, Sekip Utara, Bulaksumur, Jongjakarta 55281, Indonesia

danang@ugm.ac.id

Akmarul Nizam Zainudin, School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia

ir.akmarul@gmail.com

Muhammad Harith Halim, School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia

muharith16@gmail.com

Azita Laily Yusof, School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia

azita968@uitm.edu.my

Murizah Kassim, School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia

murizah@uitm.edu.my

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Published

2024-12-16

Issue

Online First Articles

Section

Articles

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