Machine learning in environmental research: common pitfalls and best practices
Machine learning (ML) is increasingly used in environmental research to process large data
sets and decipher complex relationships between system variables. However, due to the …
sets and decipher complex relationships between system variables. However, due to the …
A review of machine learning applications in wildfire science and management
Artificial intelligence has been applied in wildfire science and management since the 1990s,
with early applications including neural networks and expert systems. Since then, the field …
with early applications including neural networks and expert systems. Since then, the field …
Exacerbated fires in Mediterranean Europe due to anthropogenic warming projected with non-stationary climate-fire models
The observed trend towards warmer and drier conditions in southern Europe is projected to
continue in the next decades, possibly leading to increased risk of large fires. However, an …
continue in the next decades, possibly leading to increased risk of large fires. However, an …
Climate change impact on future wildfire danger and activity in southern Europe: a review
Key message Wildfire danger and burnt areas should increase over the century in southern
Europe, owing to climate warming. Fire-prone area expansion to the north and to …
Europe, owing to climate warming. Fire-prone area expansion to the north and to …
[HTML][HTML] Multivariate quantile mapping bias correction: an N-dimensional probability density function transform for climate model simulations of multiple variables
AJ Cannon - Climate dynamics, 2018 - Springer
Most bias correction algorithms used in climatology, for example quantile mapping, are
applied to univariate time series. They neglect the dependence between different variables …
applied to univariate time series. They neglect the dependence between different variables …
Decreasing fires in mediterranean Europe
Forest fires are a serious environmental hazard in southern Europe. Quantitative
assessment of recent trends in fire statistics is important for assessing the possible shifts …
assessment of recent trends in fire statistics is important for assessing the possible shifts …
Forest fire danger extremes in Europe under climate change: variability and uncertainty
D De Rigo, G Libertà, TH Durrant, TA Vivancos… - 2017 - hal.science
Forests cover over a third of the total land area of Europe. In recent years, large forest fires
have repeatedly affected Europe, in particular the Mediterranean countries. Fire danger is …
have repeatedly affected Europe, in particular the Mediterranean countries. Fire danger is …
Climate change impacts on wildfires in a Mediterranean environment
We analyse the observed climate-driven changes in summer wildfires and their future
evolution in a typical Mediterranean environment (NE Spain). By analysing observed climate …
evolution in a typical Mediterranean environment (NE Spain). By analysing observed climate …
The dynamics and drivers of fuel and fire in the Portuguese public forest
PM Fernandes, C Loureiro, N Guiomar… - Journal of environmental …, 2014 - Elsevier
The assumption that increased wildfire incidence in the Mediterranean Basin during the last
decades is an outcome of changes in land use warrants an objective analysis. In this study …
decades is an outcome of changes in land use warrants an objective analysis. In this study …
Estimating the probability of wildfire occurrence in Mediterranean landscapes using Artificial Neural Networks
Wildfires are a major disturbance in the Mediterranean Basin and an ecological factor that
constantly alters the landscape. In this context, it is crucial to understand where wildfires are …
constantly alters the landscape. In this context, it is crucial to understand where wildfires are …