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A review on early forest fire detection systems using optical remote sensing
The environmental challenges the world faces nowadays have never been greater or more
complex. Global areas covered by forests and urban woodlands are threatened by natural …
complex. Global areas covered by forests and urban woodlands are threatened by natural …
Satellite remote sensing of active fires: History and current status, applications and future requirements
Landscape fire is a widespread, somewhat unpredictable phenomena that plays an
important part in Earth's biogeochemical cycling. In many biomes worldwide fire also …
important part in Earth's biogeochemical cycling. In many biomes worldwide fire also …
The role of UAV-IoT networks in future wildfire detection
OM Bushnaq, A Chaaban… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The challenge of wildfire management and detection is recently gaining increased attention
due to the increased severity and frequency of wildfires worldwide. Popular fire detection …
due to the increased severity and frequency of wildfires worldwide. Popular fire detection …
BASNet: Burned area segmentation network for real-time detection of damage maps in remote sensing images
Since remote sensing images of post-fire vegetation are characterized by high resolution,
multiple interferences, and high similarities between the background and the target area, it is …
multiple interferences, and high similarities between the background and the target area, it is …
Detection and monitoring of forest fires using Himawari-8 geostationary satellite data in South Korea
Geostationary satellite remote sensing systems are a useful tool for forest fire detection and
monitoring because of their high temporal resolution over large areas. In this study, we …
monitoring because of their high temporal resolution over large areas. In this study, we …
[HTML][HTML] Damage-map estimation using UAV images and deep learning algorithms for disaster management system
Estimating the damaged area after a forest fire is important for responding to this natural
catastrophe. With the support of aerial remote sensing, typically with unmanned aerial …
catastrophe. With the support of aerial remote sensing, typically with unmanned aerial …
Toward an adaptable deep-learning model for satellite-based wildfire monitoring with consideration of environmental conditions
As the majority of active fire detection algorithms have been developed for worldwide
applications using only satellite data without considering observing conditions and …
applications using only satellite data without considering observing conditions and …
Supervised machine learning approaches on multispectral remote sensing data for a combined detection of fire and burned area
Bushfires pose a severe risk, among others, to humans, wildlife, and infrastructures. Rapid
detection of fires is crucial for fire-extinguishing activities and rescue missions. Besides …
detection of fires is crucial for fire-extinguishing activities and rescue missions. Besides …
[HTML][HTML] Fire occurrences and greenhouse gas emissions from deforestation in the Brazilian Amazon
This work presents the dynamics of fire occurrences, greenhouse gas (GHG) emissions,
forest clearing, and degradation in the Brazilian Amazon during the period 2006–2019 …
forest clearing, and degradation in the Brazilian Amazon during the period 2006–2019 …
Unmanned aerial vehicles (UAVs) for disaster management
Abstract “Natural disasters threaten human life, Earth's ecosystems, and countries'
economies. In the last two decades, the number and severity of natural disasters has …
economies. In the last two decades, the number and severity of natural disasters has …