Forest fire surveillance systems: A review of deep learning methods
This review aims to critically examine the existing state-of-the-art forest fire detection systems that are based on deep learning methods. In general, forest fire incidences bring significant negative impact to the economy, environment, and society. One of the crucial mitigation actions that needs...
Main Authors: | Azlan Saleh, Mohd Asyraf Zulkifley, Hazimah Haspi Harun, Francis Gaudreault, Ian Davison, Martin Spraggon |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2024-01-01
|
Series: | Heliyon |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023103355 |
Similar Items
-
Forest fire management in ASEAN
by: Asean Institute of Forest Management
Published: (1997) -
Modelling, monitoring and management of forest fires /
by: De Las Heras, J
Published: (2008) -
FFireNet: Deep Learning Based Forest Fire Classification and Detection in Smart Cities
by: Somaiya Khan, et al.
Published: (2022-10-01) -
GIS-Based Forest Fire Risk Model: A Case Study in Laoshan National Forest Park, Nanjing
by: Pengcheng Zhao, et al.
Published: (2021-09-01) -
Fire Drivers Affecting Forest Fire Occurrences in the Tropical Mixed Broad-leaved Forests of Nepal
by: Krishna Bahadur Bhujel, et al.
Published: (2021-11-01)