Forest fires can cause significant harm to the biodiversity, air quality, economy, and
industries that depend on forests, which is particularly critical given the current climate …

Deep learning techniques through semantic segmentation networks have been widely used
for natural disaster analysis and response. The underlying base of these implementations …

The escalating global threat of forest fires, driven by global warming, requires the
development of effective prediction systems to mitigate damages. This research focuses on …

To address the challenges posed by the large scale and dense distribution of small targets
in remote sensing images, as well as the issues of missed detection and false detection, this …

The development of most modern software systems is accompanied by a significant level of
uncertainty, which can be attributed to the unanticipated activities that may occur throughout …

Controlling and extinguishing spreading forest fires is a challenging task that often leads to
irreversible losses. Moreover, large-scale forest fires generate smoke and dust, causing …

Forest fires have emerged as a significant global concern, exacerbated by both global
warming and the expanding human population. Several adverse outcomes can result from …

Wildfire causes environmental, economic, and human problems or losses. This study
reviewed wildfires induced by lightning strikes. This review focuses on the investigations of …

In recent decades, fires in natural ecosystems, particularly forests and rangelands, have
emerged as a significant threat. To address this challenge, our study aims to identify and …

Landslides in the Nainital district of Uttarakhand, India, pose a significant threat to human
communities and local ecosystems. This study aims to improve landslide susceptibility …