A systematic review of applications of machine learning techniques for wildfire management decision support

K Bot, JG Borges - Inventions, 2022 - mdpi.com
Wildfires threaten and kill people, destroy urban and rural property, degrade air quality,
ravage forest ecosystems, and contribute to global warming. Wildfire management decision …

Climate change impacts on the road transport infrastructure: A systematic review on adaptation measures

VHS de Abreu, AS Santos, TGM Monteiro - Sustainability, 2022 - mdpi.com
Road transport is one of the main contributors to increasing greenhouse gas (GHG)
emissions, consequently aggravating global warming, but it is also one of the sectors that …

Environmental drivers and spatial prediction of forest fires in the Western Ghats biodiversity hotspot, India: An ensemble machine learning approach

KN Babu, R Gour, K Ayushi, N Ayyappan… - Forest Ecology and …, 2023 - Elsevier
In ecologically sensitive areas like the Western Ghats, fire is largely considered to be the
most significant management concern. Therefore, identifying and predicting the fire …

Map** land cover and forest density in Zagros forests of Khuzestan province in Iran: A study based on Sentinel-2, Google Earth and field data

S Eskandari, SAM Sarab - Ecological Informatics, 2022 - Elsevier
Zagros forests in western Iran have widely been destroyed because of various reasons. This
study was performed to provide the land cover and forest density maps in Zagros forests of …

Wildfire risk forecasting using weights of evidence and statistical index models

G Salavati, E Saniei, E Ghaderpour, QK Hassan - Sustainability, 2022 - mdpi.com
The risk of forest and pasture fires is one of the research topics of interest around the world.
Applying precise strategies to prevent potential effects and minimize the occurrence of such …

The temporal and spatial relationships between climatic parameters and fire occurrence in northeastern Iran

S Eskandari, JR Miesel, HR Pourghasemi - Ecological Indicators, 2020 - Elsevier
Fire is a natural disturbance in a wide range of ecosystem types around the world. Although
the majority of fires are caused by anthropogenic ignitions, climate and weather are known …

A forest fire susceptibility modeling approach based on Light Gradient Boosting Machine algorithm

Y Sun, F Zhang, H Lin, S Xu - Remote Sensing, 2022 - mdpi.com
A forest fire susceptibility map generated with the fire susceptibility model is the basis of fire
prevention resource allocation. A more reliable susceptibility map helps improve the …

Regional air quality: biomass burning impacts of SO2 emissions on air quality in the Himalayan region of Uttarakhand, India

AS Gautam, S Kumar, S Gautam, K Singh… - Air Quality, Atmosphere …, 2024 - Springer
In the present study, continuous ground-based SO2 monitoring has been planned over the
Srinagar Garhwal Valley of Uttarakhand. The monsoon (M-2018), post-monsoon (PoM …

Comparison of new individual and hybrid machine learning algorithms for modeling and map** fire hazard: a supplementary analysis of fire hazard in different …

S Eskandari, M Amiri, N Sãdhasivam, HR Pourghasemi - Natural Hazards, 2020 - Springer
The forest fire hazard map** using the accurate models in the fire-prone areas has
particular importance to predict the future fire occurrence and allocate the resources for …

Fire-susceptibility map** in the natural areas of Iran using new and ensemble data-mining models

S Eskandari, HR Pourghasemi… - … Science and Pollution …, 2021 - Springer
Fires have increased in northeastern Iran as its semi-arid climate landscape is desiccated by
human activities. To combat fire outbreaks in any region, fire susceptibility must be mapped …