A review on early forest fire detection systems using optical remote sensing

P Barmpoutis, P Papaioannou, K Dimitropoulos… - Sensors, 2020 - mdpi.com
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 …

Satellite remote sensing of active fires: History and current status, applications and future requirements

MJ Wooster, GJ Roberts, L Giglio, DP Roy… - Remote Sensing of …, 2021 - Elsevier
Landscape fire is a widespread, somewhat unpredictable phenomena that plays an
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 …

BASNet: Burned area segmentation network for real-time detection of damage maps in remote sensing images

W Bo, J Liu, X Fan, T Tjahjadi, Q Ye… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

Detection and monitoring of forest fires using Himawari-8 geostationary satellite data in South Korea

E Jang, Y Kang, J Im, DW Lee, J Yoon, SK Kim - Remote Sensing, 2019 - mdpi.com
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 …

[HTML][HTML] Damage-map estimation using UAV images and deep learning algorithms for disaster management system

DQ Tran, M Park, D Jung, S Park - Remote Sensing, 2020 - mdpi.com
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 …

Toward an adaptable deep-learning model for satellite-based wildfire monitoring with consideration of environmental conditions

Y Kang, T Sung, J Im - Remote Sensing of Environment, 2023 - Elsevier
As the majority of active fire detection algorithms have been developed for worldwide
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

J Florath, S Keller - Remote sensing, 2022 - mdpi.com
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 …

[HTML][HTML] Fire occurrences and greenhouse gas emissions from deforestation in the Brazilian Amazon

CA Silva, G Santilli, EE Sano, G Laneve - Remote Sensing, 2021 - mdpi.com
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 …

Unmanned aerial vehicles (UAVs) for disaster management

OM Bushnaq, D Mishra, E Natalizio… - … -Based Smart Remote …, 2022 - Elsevier
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 …