[HTML][HTML] A systematic review of trustworthy artificial intelligence applications in natural disasters

AS Albahri, YL Khaleel, MA Habeeb, RD Ismael… - Computers and …, 2024 - Elsevier
Artificial intelligence (AI) holds significant promise for advancing natural disaster
management through the use of predictive models that analyze extensive datasets, identify …

[HTML][HTML] SHAP-Driven Explainable Artificial Intelligence Framework for Wildfire Susceptibility Mapping Using MODIS Active Fire Pixels: An In-Depth Interpretation of …

MC Iban, O Aksu - Remote Sensing, 2024 - mdpi.com
Wildfire susceptibility maps play a crucial role in preemptively identifying regions at risk of
future fires and informing decisions related to wildfire management, thereby aiding in …

Soil temperature prediction based on explainable artificial intelligence and LSTM

Q Geng, L Wang, Q Li - Frontiers in Environmental Science, 2024 - frontiersin.org
Soil temperature is a key parameter in many disciplines, and its research has important
practical significance. In recent years, the prediction of soil temperature by deep learning …

Analysis of Trends in the Distance of Wildfires from Built-Up Areas in Spain and California (USA): 2007–2015

M Marey-Perez, Ó López-Álvarez, L Franco-Vázquez - Forests, 2024 - mdpi.com
Wildfires present a significant risk to societies globally due to population growth,
concentrated activities, climate change, and extreme environmental conditions. To establish …

Are Wildfires Coming Closer to Our Doors? Analysis in Spain and California 2007-2015

MF Marey-Perez, Ó López-Álvarez, L Franco-Vázquez - 2024 - preprints.org
Wildfires present a significant risk to societies globally due to population growth, con-
centrated activities, climate change, and extreme environmental conditions. To establish …