Integrated wildfire danger models and factors: A review

I Zacharakis, VA Tsihrintzis - Science of the total environment, 2023 - Elsevier
Wildfires have been systematically studied from the early 1950s, with significant progress in
the applied computational methodologies during the 21st century. However, modern …

A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management

SPH Boroujeni, A Razi, S Khoshdel, F Afghah… - Information …, 2024 - Elsevier
Wildfires have emerged as one of the most destructive natural disasters worldwide, causing
catastrophic losses. These losses have underscored the urgent need to improve public …

Towards an integrated approach to wildfire risk assessment: when, where, what and how may the landscapes burn

E Chuvieco, M Yebra, S Martino, K Thonicke… - Fire, 2023 - mdpi.com
This paper presents a review of concepts related to wildfire risk assessment, including the
determination of fire ignition and propagation (fire danger), the extent to which fire may …

Quantifying surface fuels for fire modelling in temperate forests using airborne lidar and Sentinel-2: potential and limitations

P Labenski, M Ewald, S Schmidtlein, FA Heinsch… - Remote Sensing of …, 2023 - Elsevier
Surface fuel information is an essential input for models of fire behaviour and fire effects.
However, spatially explicit, continuous information on surface fuel loads and fuelbed depth …

Earth-observation-based monitoring of forests in Germany—recent progress and research frontiers: a review

S Holzwarth, F Thonfeld, P Kacic, S Abdullahi, S Asam… - Remote Sensing, 2023 - mdpi.com
One-third of Germany's land surface area is covered by forest (around 11.4 million hectares),
and thus, it characterizes the landscape. The forest is a habitat for a large number of animal …

A case study on the effects of weather conditions on forest fire propagation parameters in the Malekroud Forest in Guilan, Iran

E Mohammadian Bishe, M Norouzi, H Afshin… - Fire, 2023 - mdpi.com
The present study investigates the effect of climatic parameters, such as air relative humidity
and wind speed, on fire spread propagation indexes in the Malekroud Forest, Iran using the …

Wildfire spreading prediction using multimodal data and deep neural network approach

D Shadrin, S Illarionova, F Gubanov, K Evteeva… - Scientific Reports, 2024 - nature.com
Predicting wildfire spread behavior is an extremely important task for many countries. On a
small scale, it is possible to ensure constant monitoring of the natural landscape through …

Assessing the effectiveness of silvicultural treatments on fire behavior in the Hyrcanian temperate forests of Northern Iran

R Jahdi, M Salis, F Alcasena, L Del Giudice - Environmental Management, 2023 - Springer
We implemented a fire modeling approach to evaluate the effectiveness of silvicultural
treatments in reducing potential losses to the Hyrcanian temperate forests of northern Iran, in …

Leaf litter combustion properties of central European tree species

M Ewald, P Labenski, E Westphal… - … Journal of Forest …, 2025 - academic.oup.com
Abstract Temperate forests of Central Europe are exposed to increasing fire risk. However,
little is known about combustion properties of leaf litter, which plays an important role in the …

[PDF][PDF] Applications of Machine Learning and Remote Sensing in Soil and Water Conservation

YI Kim, WH Park, Y Shin, JW Park, B Engel, YJ Yun… - Hydrology, 2024 - preprints.org
The application of machine learning (ML) and remote sensing (RS) in soil and water
conservation has become a powerful tool. As analytical tools continue to advance, the …