[PDF][PDF] Role of machine learning algorithms in forest fire management: A literature review

M Arif, KK Alghamdi, SA Sahel… - J. Robot …, 2021 - pdfs.semanticscholar.org
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 …

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 …

[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

N Efthimiou, E Psomiadis, P Panagos - Catena, 2020 - Elsevier
In recent years, forest fires have increased in terms of frequency, extent and intensity,
especially in Mediterranean countries. Climate characteristics and anthropogenic …

Forest fire induced Natech risk assessment: A survey of geospatial technologies

M Naderpour, HM Rizeei, N Khakzad… - Reliability Engineering & …, 2019 - Elsevier
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 …

Real-time wildfire detection and tracking in Australia using geostationary satellite: Himawari-8

G Xu, X Zhong - Remote Sensing Letters, 2017 - Taylor & Francis
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 …

[HTML][HTML] An active fire detection algorithm based on multi-temporal FengYun-3C VIRR data

Z Lin, F Chen, Z Niu, B Li, B Yu, H Jia… - Remote Sensing of …, 2018 - Elsevier
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 …

RST-FIRES, an exportable algorithm for early-fire detection and monitoring: Description, implementation, and field validation in the case of the MSG-SEVIRI sensor

C Filizzola, R Corrado, F Marchese, G Mazzeo… - Remote Sensing of …, 2016 - Elsevier
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 …

[HTML][HTML] Tropospheric and surface measurements of combustion tracers during the 2021 Mediterranean wildfire crisis: Insights from the WMO/GAW site of Lamezia …

F D'Amico, G De Benedetto, L Malacaria, S Sinopoli… - Gases, 2025 - mdpi.com
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 …

Near real-time extracting wildfire spread rate from Himawari-8 satellite data

X Liu, B He, X Quan, M Yebra, S Qiu, C Yin, Z Liao… - Remote Sensing, 2018 - mdpi.com
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 …

Geostationary sensor based forest fire detection and monitoring: An improved version of the SFIDE algorithm

V Di Biase, G Laneve - Remote Sensing, 2018 - mdpi.com
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 …