Deep learning approaches for wildland fires remote sensing: Classification, detection, and segmentation
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 …
A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management
Wildfires have emerged as one of the most destructive natural disasters worldwide, causing
catastrophic losses. These losses have underscored the urgent need to improve public …
catastrophic losses. These losses have underscored the urgent need to improve public …
Energy efficient routing protocol for an IoT-based WSN system to detect forest fires
RB Pedditi, K Debasis - Applied Sciences, 2023 - mdpi.com
Around a third of the world's surface area is covered with forests. This is about 4–5 billion
hectares of land. We are losing an additional 3 million hectares of forest cover each year …
hectares of land. We are losing an additional 3 million hectares of forest cover each year …
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 …
systems that are based on deep learning methods. In general, forest fire incidences bring …
Fire detection and geo-localization using uav's aerial images and yolo-based models
The past decade has witnessed a growing demand for drone-based fire detection systems,
driven by escalating concerns about wildfires exacerbated by climate change, as …
driven by escalating concerns about wildfires exacerbated by climate change, as …
Exploring unmanned aerial systems operations in wildfire management: data types, processing algorithms and navigation
Wildfire, also known as forest fire, is a common natural or man-made disaster that has
caused devastation to both man-made structures and natural ecosystems throughout the …
caused devastation to both man-made structures and natural ecosystems throughout the …
M4SFWD: A Multi-Faceted synthetic dataset for remote sensing forest wildfires detection
Forest wildfires are one of the most catastrophic natural disasters, which poses a severe
threat to both the ecosystem and human life. Therefore, it is imperative to implement …
threat to both the ecosystem and human life. Therefore, it is imperative to implement …
An efficient wildfire detection system for ai-embedded applications using satellite imagery
Wildfire risk has globally increased during the past few years due to several factors. An
efficient and fast response to wildfires is extremely important to reduce the damaging effect …
efficient and fast response to wildfires is extremely important to reduce the damaging effect …
Advancing Forest Fire Risk Evaluation: An Integrated Framework for Visualizing Area-Specific Forest Fire Risks Using UAV Imagery, Object Detection and Color …
Forest fires have significant implications for the Earth's ecological balance, causing
widespread devastation and posing formidable challenges for containment once they …
widespread devastation and posing formidable challenges for containment once they …
Revolutionizing Wildfire Detection Through UAV-Driven Fire Monitoring with a Transformer-Based Approach.
The rapid detection and accurate localization of wildfires are critical for effective disaster
management and response. This study proposes an innovative Unmanned aerial vehicles …
management and response. This study proposes an innovative Unmanned aerial vehicles …