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[PDF][PDF] Role of machine learning algorithms in forest fire management: A literature review
Forest fire disasters are recently getting lots of attention due to climate change globally.
Globally, climate changes are rapidly changing the fire patterns on Earth. Effective fire …
Globally, climate changes are rapidly changing the fire patterns on Earth. Effective fire …
Operational perspective of remote sensing-based forest fire danger forecasting systems
EH Chowdhury, QK Hassan - ISPRS Journal of Photogrammetry and …, 2015 - Elsevier
Forest fire is a natural phenomenon in many ecosystems across the world. One of the most
important components of forest fire management is the forecasting of fire danger conditions …
important components of forest fire management is the forecasting of fire danger conditions …
[HTML][HTML] Fire severity and soil erosion susceptibility map** using multi-temporal Earth Observation data: The case of Mati fatal wildfire in Eastern Attica, Greece
In recent years, forest fires have increased in terms of frequency, extent and intensity,
especially in Mediterranean countries. Climate characteristics and anthropogenic …
especially in Mediterranean countries. Climate characteristics and anthropogenic …
Forest fire induced Natech risk assessment: A survey of geospatial technologies
Forest fires threaten a large part of the world's forests, communities, and industrial plants,
triggering technological accidents (Natechs). Forest fire modelling with respect to …
triggering technological accidents (Natechs). Forest fire modelling with respect to …
Real-time wildfire detection and tracking in Australia using geostationary satellite: Himawari-8
Real-time information about the spatial extents of wildfires can assist both emergency
responders and the general public to mitigate the impact of the wildfires. However, in a large …
responders and the general public to mitigate the impact of the wildfires. However, in a large …
[HTML][HTML] An active fire detection algorithm based on multi-temporal FengYun-3C VIRR data
Abstract The Visible and Infra-Red Radiometer (VIRR) is an improved third-generation
sensor used for Earth observation with channels ranging from visible to thermal bands and …
sensor used for Earth observation with channels ranging from visible to thermal bands and …
RST-FIRES, an exportable algorithm for early-fire detection and monitoring: Description, implementation, and field validation in the case of the MSG-SEVIRI sensor
Wildfires are a worldwide phenomenon with local and global effects. Many satellite-based
methods for fire detection and monitoring have been developed to exploit data acquired by …
methods for fire detection and monitoring have been developed to exploit data acquired by …
[HTML][HTML] Tropospheric and surface measurements of combustion tracers during the 2021 Mediterranean wildfire crisis: Insights from the WMO/GAW site of Lamezia …
The central Mediterranean and nearby regions were affected by extreme wildfires during the
summer of 2021. During the crisis, Türkiye, Greece, Italy, and other countries faced …
summer of 2021. During the crisis, Türkiye, Greece, Italy, and other countries faced …
Near real-time extracting wildfire spread rate from Himawari-8 satellite data
Fire Spread Rate (FSR) can indicate how fast a fire is spreading, which is especially helpful
for wildfire rescue and management. Historically, images obtained from sun-orbiting …
for wildfire rescue and management. Historically, images obtained from sun-orbiting …
Geostationary sensor based forest fire detection and monitoring: An improved version of the SFIDE algorithm
The paper aims to present the results obtained in the development of a system allowing for
the detection and monitoring of forest fires and the continuous comparison of their intensity …
the detection and monitoring of forest fires and the continuous comparison of their intensity …