Forest fire susceptibility prediction based on machine learning models with resampling algorithms on remote sensing data
This study predicts forest fire susceptibility in Chaloos Rood watershed in Iran using three
machine learning (ML) models—multivariate adaptive regression splines (MARS), support …
machine learning (ML) models—multivariate adaptive regression splines (MARS), support …
Forest fire probability mapping in eastern Serbia: Logistic regression versus random forest method
Forest fire risk has increased globally during the previous decades. The Mediterranean
region is traditionally the most at risk in Europe, but continental countries like Serbia have …
region is traditionally the most at risk in Europe, but continental countries like Serbia have …
A machine learning-based approach for wildfire susceptibility mapping. The case study of the Liguria region in Italy
M Tonini, M D'Andrea, G Biondi, S Degli Esposti… - Geosciences, 2020 - mdpi.com
Wildfire susceptibility maps display the spatial probability of an area to burn in the future,
based solely on the intrinsic local proprieties of a site. Current studies in this field often rely …
based solely on the intrinsic local proprieties of a site. Current studies in this field often rely …
[HTML][HTML] Integrating geospatial, remote sensing, and machine learning for climate-induced forest fire susceptibility mapping in Similipal Tiger Reserve, India
Accurately assessing forest fire susceptibility (FFS) in the Similipal Tiger Reserve (STR) is
essential for biodiversity conservation, climate change mitigation, and community safety …
essential for biodiversity conservation, climate change mitigation, and community safety …
Wildfire susceptibility mapping in baikal natural territory using random forest
O Nikolaychuk, J Pestova, A Yurin - Forests, 2024 - mdpi.com
Wildfires are a significant problem in Irkutsk Oblast. They are caused by climate change,
thunderstorms, and human factors. In this study, we use the Random Forest machine …
thunderstorms, and human factors. In this study, we use the Random Forest machine …
Open data and machine learning to model the occurrence of fire in the ecoregion of “Llanos Colombo–Venezolanos”
JS Barreto, D Armenteras - Remote Sensing, 2020 - mdpi.com
A fire probability map is an important tool for landscape management, providing better
identification of areas prone to fires and helping optimize the allocation of limited resources …
identification of areas prone to fires and helping optimize the allocation of limited resources …