Deep learning approaches for wildland fires remote sensing: Classification, detection, and segmentation
R Ghali, MA Akhloufi - Remote Sensing, 2023 - mdpi.com
The world has seen an increase in the number of wildland fires in recent years due to
various factors. Experts warn that the number of wildland fires will continue to increase in the …
various factors. Experts warn that the number of wildland fires will continue to increase in the …
Forest fire and smoke detection using deep learning-based learning without forgetting
Background Forests are an essential natural resource to humankind, providing a myriad of
direct and indirect benefits. Natural disasters like forest fires have a major impact on global …
direct and indirect benefits. Natural disasters like forest fires have a major impact on global …
A Review of forest fire combating efforts, challenges and future directions in Peninsular Malaysia, Sabah, and Sarawak
The land surface of Malaysia mostly constitutes forest cover. For decades, forest fires have
been one of the nation's most concerning environmental issues. With the advent of machine …
been one of the nation's most concerning environmental issues. With the advent of machine …
Assessment of the performance of GIS-based analytical hierarchical process (AHP) approach for flood modelling in Uttar Dinajpur district of West Bengal, India
Floods have received global significance in contemporary times due to their destructive
behavior, which may wreak tremendous ruin on infrastructure and civilization. The present …
behavior, which may wreak tremendous ruin on infrastructure and civilization. The present …
Assessing the effectiveness of YOLO architectures for smoke and wildfire detection
This paper presents a comprehensive evaluation of YOLO architectures for smoke and
wildfire detection, including YOLOv5, YOLOv6, YOLOv7, YOLOv8, and YOLO-NAS. We aim …
wildfire detection, including YOLOv5, YOLOv6, YOLOv7, YOLOv8, and YOLO-NAS. We aim …
Fire images classification based on a handcraft approach
In recent years, wildfires and forest fires have ravaged millions of hectares of the forest all
over the world. Recent technological breakthroughs have increased interest in computer …
over the world. Recent technological breakthroughs have increased interest in computer …
Artificial neural networks for assessing forest fire susceptibility in Türkiye
Wildfires often threaten natural and economic resources and human lives. Wildfire
susceptibility assessments have become essential for efficient disaster management and …
susceptibility assessments have become essential for efficient disaster management and …
FirePred: A hybrid multi-temporal convolutional neural network model for wildfire spread prediction
Wildfires represent a significant natural disaster with the potential to inflict widespread
damage on both ecosystems and property. In recent years, there has been a growing …
damage on both ecosystems and property. In recent years, there has been a growing …
Deep Learning‐Based Wildfire Image Detection and Classification Systems for Controlling Biomass
M Prakash, S Neelakandan… - … Journal of Intelligent …, 2023 - Wiley Online Library
Forests are essential natural resources that directly impact the ecosystem. However, the
rising frequency of forest fires due to natural and artificial climate change has become a …
rising frequency of forest fires due to natural and artificial climate change has become a …
Modeling wildfire risk in western Iran based on the integration of AHP and GIS
This study aimed at delineating the wildfire risk zones in a fire-prone region located in a
rarely addressed area of western Iran (Paveh city) by assessing the potential of factors such …
rarely addressed area of western Iran (Paveh city) by assessing the potential of factors such …