This paper highlights the significance of Artificial Intelligence (AI) in the realm of drone
applications in forestry. Drones have revolutionized various forest operations, and their role …

As fires grow in intensity and frequency each year, so has the resistance from their anthropic
victims in the form of firefighting technology and research. Although it is impossible to …

This paper introduces a novel Deep Learning (DL) architecture for inferring temperature
information from aerial true-color RGB images by transforming them into Infrared Radiation …

This review aims to critically examine the existing state-of-the-art forest fire detection
systems that are based on deep learning methods. In general, forest fire incidences bring …

Forest fires can have severe impacts on both the environment and human communities.
They can cause soil erosion, loss of habitat and biodiversity, as well as the release of carbon …

The last two decades have seen an incessant growth in the use of Unmanned Aerial
Vehicles (UAVs) equipped with HD cameras for developing aerial vision-based systems to …

Classification of remote scenes in satellite imagery has many applications, such as
surveillance, earth observation, etc. Classifying high-resolution remote sensing images in …

Wildfire, also known as forest fire, is a common natural or man-made disaster that has
caused devastation to both man-made structures and natural ecosystems throughout the …

Interactive visual analytics over distributed systems housing voluminous datasets is
hindered by three main factors-disk and network I/O, and data processing overhead …

Forest fires are a significant threat to the environment, causing ecological damage,
economic losses, and posing a threat to human life. Hence, timely detection and prevention …