Wildfires significantly threaten ecosystems and human lives, necessitating effective
prediction models for the management of this destructive phenomenon. This study integrates …

Wildfires represent a significant natural disaster with the potential to inflict widespread
damage on both ecosystems and property. In recent years, there has been a growing …

Wetland map** is a critical component of environmental monitoring, requiring advanced
techniques to accurately represent the complex land cover patterns and subtle class …

Forest ecosystems have been persistently affected by wildfires, leading to significant
damage worldwide. The severity and frequency of wildfires have escalated in recent years …

The increasing frequency and intensity of wildfires highlight the need to develop more
efficient tools for firefighting and management, particularly in the field of wildfire spread …

Dust storms are natural disasters that have a serious impact on various aspects of human
life and physical infrastructure, particularly in urban areas causing health risks, reducing …

Forests are among the world's most valuable ecological resources. However, they face
significant threats from Forest Fires (FFs), causing environmental damage and impacting …

Recurrent wildfires pose an immense and urgent global challenge, as they endanger human
lives and have significant consequences on society and the economy. In recent years …

The recent surge in wildfire incidents, exacerbated by climate change, demands effective
prediction and monitoring solutions. This study introduces a novel deep learning model, the …

Fire spread prediction is a crucial technology for fighting forest fires. Most existing fire spread
models focus on making predictions after a specific time, and their predicted performance …