A brief review of machine learning algorithms in forest fires science
Due to the harm forest fires cause to the environment and the economy as they occur more
frequently around the world, early fire prediction and detection are necessary. To anticipate …
frequently around the world, early fire prediction and detection are necessary. To anticipate …
A systematic review of applications of machine learning techniques for wildfire management decision support
Wildfires threaten and kill people, destroy urban and rural property, degrade air quality,
ravage forest ecosystems, and contribute to global warming. Wildfire management decision …
ravage forest ecosystems, and contribute to global warming. Wildfire management decision …
Machine learning based wildfire susceptibility map** using remotely sensed fire data and GIS: A case study of Adana and Mersin provinces, Turkey
MC Iban, A Sekertekin - Ecological Informatics, 2022 - Elsevier
In recent years, the number of wildfires has increased all over the world. Therefore, map**
wildfire susceptibility is crucial for prevention, early detection, and supporting wildfire …
wildfire susceptibility is crucial for prevention, early detection, and supporting wildfire …
Forest fire susceptibility map** 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 …
Machine-learning modelling of fire susceptibility in a forest-agriculture mosaic landscape of southern India
The recurrent forest fires have been a serious management concern in southern Western
Ghats, India. This study investigates the applicability of various geospatial data, machine …
Ghats, India. This study investigates the applicability of various geospatial data, machine …
Computational machine learning approach for flood susceptibility assessment integrated with remote sensing and GIS techniques from Jeddah, Saudi Arabia
Floods, one of the most common natural hazards globally, are challenging to anticipate and
estimate accurately. This study aims to demonstrate the predictive ability of four ensemble …
estimate accurately. This study aims to demonstrate the predictive ability of four ensemble …
Landslide susceptibility assessment using locally weighted learning integrated with machine learning algorithms
H Hong - Expert systems with Applications, 2024 - Elsevier
Assessing landslide susceptibility and predicting the possibility of landslide event is the
foundation and prerequisite for emergency response and management of landslide disaster …
foundation and prerequisite for emergency response and management of landslide disaster …
[HTML][HTML] GIS-based frequency ratio and analytic hierarchy process for forest fire susceptibility map** in the western region of Syria
Forest fires are among the most major causes of global ecosystem degradation. The
integration of spatial information from various sources using statistical analyses in the GIS …
integration of spatial information from various sources using statistical analyses in the GIS …
Enhancing flood risk assessment through integration of ensemble learning approaches and physical-based hydrological modeling
This study aims to examine three machine learning (ML) techniques, namely random forest
(RF), LightGBM, and CatBoost for flooding susceptibility maps (FSMs) in the Vietnamese Vu …
(RF), LightGBM, and CatBoost for flooding susceptibility maps (FSMs) in the Vietnamese Vu …
Assessment of China's forest fire occurrence with deep learning, geographic information and multisource data
Y Shao, Z Wang, Z Feng, L Sun, X Yang… - Journal of Forestry …, 2023 - Springer
Considerable economic losses and ecological damage can be caused by forest fires, and
compared to suppression, prevention is a much smarter strategy. Accordingly, this study …
compared to suppression, prevention is a much smarter strategy. Accordingly, this study …