[HTML][HTML] A brief review of machine learning algorithms in forest fires science

R Alkhatib, W Sahwan, A Alkhatieb, B Schütt - Applied Sciences, 2023 - mdpi.com
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 …

[HTML][HTML] The role of remote sensing for the assessment and monitoring of forest health: A systematic evidence synthesis

P Torres, M Rodes-Blanco, A Viana-Soto, H Nieto… - Forests, 2021 - mdpi.com
Forests are increasingly subject to a number of disturbances that can adversely influence
their health. Remote sensing offers an efficient alternative for assessing and monitoring …

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 …

[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) …

Flood susceptible prediction through the use of geospatial variables and machine learning methods

NM Gharakhanlou, L Perez - Journal of hydrology, 2023 - Elsevier
Floods are one of the most perilous natural calamities that cause property destruction and
endanger human life. The spatial patterns of flood susceptibility were assessed in this study …

Machine-learning modelling of fire susceptibility in a forest-agriculture mosaic landscape of southern India

AL Achu, J Thomas, CD Aju, G Gopinath, S Kumar… - Ecological …, 2021 - Elsevier
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 …

Fires dynamics in the Pantanal: Impacts of anthropogenic activities and climate change

JF Marques, MB Alves, CF Silveira, AA e Silva… - Journal of …, 2021 - Elsevier
Anthropogenic activities responsible for modifying climatic regimes and land use and land
cover (LULC) have been altering fire behavior even in regions with natural occurrences …

[HTML][HTML] Spatial prediction of groundwater spring potential map** based on an adaptive neuro-fuzzy inference system and metaheuristic optimization

K Khosravi, M Panahi, D Tien Bui - Hydrology and Earth System …, 2018 - hess.copernicus.org
Groundwater is one of the most valuable natural resources in the world (Jha et al., 2007).
However, it is not an unlimited resource; therefore understanding groundwater potential is …