[HTML][HTML] Historical background and current developments for map** burned area from satellite Earth observation

E Chuvieco, F Mouillot, GR Van der Werf… - Remote Sensing of …, 2019 - Elsevier
Fire has a diverse range of impacts on Earth's physical and social systems. Accurate and up
to date information on areas affected by fire is critical to better understand drivers of fire …

Landscape–wildfire interactions in southern Europe: implications for landscape management

F Moreira, O Viedma, M Arianoutsou, T Curt… - Journal of environmental …, 2011 - Elsevier
Every year approximately half a million hectares of land are burned by wildfires in southern
Europe, causing large ecological and socio-economic impacts. Climate and land use …

[HTML][HTML] Performance evaluation of machine learning methods for forest fire modeling and prediction

BT Pham, A Jaafari, M Avand, N Al-Ansari, T Dinh Du… - Symmetry, 2020 - mdpi.com
Predicting and map** fire susceptibility is a top research priority in fire-prone forests
worldwide. This study evaluates the abilities of the Bayes Network (BN), Naïve Bayes (NB) …

Remote sensing for conservation monitoring: Assessing protected areas, habitat extent, habitat condition, species diversity, and threats

H Nagendra, R Lucas, JP Honrado, RHG Jongman… - Ecological …, 2013 - Elsevier
Monitoring protected areas and their surrounds at local to regional scales is essential given
their vulnerability to anthropogenic pressures, including those associated with climatic …

Modeling spatial patterns of fire occurrence in Mediterranean Europe using Multiple Regression and Random Forest

S Oliveira, F Oehler, J San-Miguel-Ayanz… - Forest Ecology and …, 2012 - Elsevier
Fire occurrence, which results from the presence of an ignition source and the conditions for
a fire to spread, is an essential component of fire risk assessment. In this paper, we present …

[HTML][HTML] Simulation of forest fire spread based on artificial intelligence

Z Wu, B Wang, M Li, Y Tian, Y Quan, J Liu - Ecological Indicators, 2022 - Elsevier
This article aims to provide a more practical forest fire spread model for predicting and
managing forest fires in Heilongjiang Province, China. Heilongjiang is dominated by …

A review of recent advances in risk analysis for wildfire management

C Miller, AA Ager - International journal of wildland fire, 2012 - CSIRO Publishing
Risk analysis evolved out of the need to make decisions concerning highly stochastic
events, and is well suited to analyse the timing, location and potential effects of wildfires …

Factors influencing fire severity under moderate burning conditions in the Klamath Mountains, northern California, USA

BL Estes, EE Knapp, CN Skinner, JD Miller… - …, 2017 - Wiley Online Library
Topography, weather, and fuels are known factors driving fire behavior, but the degree to
which each contributes to the spatial pattern of fire severity under different conditions …

Exploring spatial patterns and drivers of forest fires in Portugal (1980–2014)

AN Nunes, L Lourenço, ACC Meira - Science of the total environment, 2016 - Elsevier
Abstract Information on the spatial incidence of fire ignition density and burnt area, trends
and drivers of wildfires is vitally important in providing support for environmental and civil …

Assessment of k-nearest neighbor and random forest classifiers for map** forest fire areas in central portugal using landsat-8, sentinel-2, and terra imagery

AP Pacheco, JAS Junior, AM Ruiz-Armenteros… - Remote Sensing, 2021 - mdpi.com
Forest fires threaten the population's health, biomass, and biodiversity, intensifying the
desertification processes and causing temporary damage to conservation areas. Remote …