[HTML][HTML] Explainable artificial intelligence (XAI) for interpreting the contributing factors feed into the wildfire susceptibility prediction model
A Abdollahi, B Pradhan - Science of the Total Environment, 2023 - Elsevier
One of the worst environmental catastrophes that endanger the Australian community is
wildfire. To lessen potential fire threats, it is helpful to recognize fire occurrence patterns and …
wildfire. To lessen potential fire threats, it is helpful to recognize fire occurrence patterns and …
Forest fire susceptibility mapping with sensitivity and uncertainty analysis using machine learning and deep learning algorithms
In the hilly region of the Western Himalayas, forest fires play a crucial role in forest
destruction and biodiversity loss. Therefore, addressing the problem of forest fires is an …
destruction and biodiversity loss. Therefore, addressing the problem of forest fires is an …
[HTML][HTML] Assessing Chilgoza Pine (Pinus Gerardiana) forest fire severity: Remote sensing analysis, correlations, and predictive modeling for enhanced management …
K Mehmood, SA Anees, M Luo, M Akram… - Trees, Forests and …, 2024 - Elsevier
Forest fires represent a critical global threat to both humans and ecosystems. This study
examines the intensity and impacts of Chilgoza (Pinus gerardiana) Pine Forest fires by using …
examines the intensity and impacts of Chilgoza (Pinus gerardiana) Pine Forest fires by using …
Combination four different ensemble algorithms with the generalized linear model (GLM) for predicting forest fire susceptibility
In this study, the generalized linear model (GLM) and four ensemble methods (partial least
squares (PLS), boosting, bagging, and Bayesian) were applied to predict forest fire hazard …
squares (PLS), boosting, bagging, and Bayesian) were applied to predict forest fire hazard …
[HTML][HTML] Ensembling machine learning models to identify forest fire-susceptible zones in Northeast India
Forest fires pose significant challenges by disrupting ecological balance, impacting socio-
economic harmony, and raising global concerns. North-East India (NEI) experiences high …
economic harmony, and raising global concerns. North-East India (NEI) experiences high …
[HTML][HTML] Method of wildfire risk assessment in consideration of land-use types: A case study in central China
W Yue, C Ren, Y Liang, X Lin, J Liang - Forests, 2023 - mdpi.com
Research on wildfire risk can quantitatively assess the risk of wildfire damage to the
population, economy, and natural ecology. However, existing research has primarily …
population, economy, and natural ecology. However, existing research has primarily …
[HTML][HTML] Segment-level modeling of wildfire susceptibility in Iranian semi-arid oak forests: Unveiling the pivotal impact of human activities
A Sadeghi, MA Nadoushan, NA Sani - Trees, Forests and People, 2024 - Elsevier
Iranian semi-arid oak (Quercus brantii) forests are characterized by their sparse canopy
cover and an increasing risk of wildfire. In Lorestan Province, west of Iran (28,300 km²) …
cover and an increasing risk of wildfire. In Lorestan Province, west of Iran (28,300 km²) …
Assessment of long-term mangrove distribution using optimised machine learning algorithms and landscape pattern analysis
AA Bindajam, J Mallick, S Talukdar… - … Science and Pollution …, 2023 - Springer
Mangrove ecosystems provide numerous benefits, including carbon storage, coastal
protection and food for marine organisms. However, mapping and monitoring of mangrove …
protection and food for marine organisms. However, mapping and monitoring of mangrove …
[HTML][HTML] Exploring forest fire susceptibility and management strategies in Western Himalaya: Integrating ensemble machine learning and explainable AI for accurate …
Forest fires pose a significant threat to ecosystems and socio-economic activities,
necessitating the development of accurate predictive models for effective management and …
necessitating the development of accurate predictive models for effective management and …
Etiological study on forest fire accidents using Bow-tie model and Bayesian network
S Li, X Li, F Yang, F Ge - Natural Hazards, 2024 - Springer
Forest fires will do great harm to the ecological environment. At present, the most important
research field is the study of the causes of forest fires, and the failure to determine the …
research field is the study of the causes of forest fires, and the failure to determine the …