Multi Sensor Network System for Early Detection and Prediction of Forest Fires in Southeast Asia-Reference-Cited by-同舟云学术

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Multi Sensor Network System for Early Detection and Prediction of Forest Fires in Southeast Asia

Published:2023-11-29 Issue: Volume: Page:
ISSN:
Container-title:2023 33rd International Telecommunication Networks and Applications Conference
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Author:

Kadir Evizal Abdul¹,Alomainy Akram²,Daud Hanita³,Maharani Warih⁴,Muhammad Noryanti⁵,Syafitri Nesi¹

Affiliation:

1. Universitas Islam Riau,Department of Informatics Engineering,Pekanbaru,Indonesia,28284

2. School of Electronic Engineering, Queen Mary University of London,London,United Kingdom,E1 4NS

3. Universiti Teknologi Petronas,Department of Applied Mathematics,Perak,Malaysia,32610

4. School of Computing, Telkom University,Bandung,Indonesia,40257

5. Universiti Malaysia Pahang,Centre for Mathematics Sciences,Kuantan,Malaysia,26300

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10368315/10368472/10368547.pdf?arnumber=10368547

Reference19 articles.

1. Advances in Multi-Sensor Data Fusion: Algorithms and Applications

2. Evaluation of MODIS Land Surface Temperature Data to Estimate Near-Surface Air Temperature in Northeast China

3. A Review on Early Forest Fire Detection Systems Using Optical Remote Sensing

4. The Role of Remote Sensing for the Assessment and Monitoring of Forest Health: A Systematic Evidence Synthesis

5. Mapping wildfire and clearcut harvest disturbances in boreal forests with Landsat time series data

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