For decades detection and monitoring of forest and other wildland fires has relied heavily on
aircraft (and satellites). Technical advances and improved affordability of both sensors and …

The intensity and frequency of bushfires have increased significantly, destroying property
and living species in recent years. Presently, unmanned aerial vehicle (UAV) technology …

The primary sources for ecological degradation currently are the Forest Fires (FF). The
present observation frameworks for FF absence need supporting in constant checking of …

Remotely Piloted Aircraft (RPA) is presently in continuous development at a rapid pace.
Unmanned Aerial Vehicles (UAVs) or more extensively Unmanned Aerial Systems (UAS) …

Wildfires represent a significant natural risk causing economic losses, human death and
environmental damage. In recent years, the world has seen an increase in fire intensity and …

Because of their rapid maneuverability, extended operational range, and improved
personnel safety, unmanned aerial vehicles (UAVs) with vision-based systems have great …

Deep learning networks have shown great success in several computer vision applications,
but its implementation in natural land cover mapping in the context of object-based image …

Abstract Aims Unmanned aerial vehicles (UAVs), ie drones, have recently emerged as cost-
effective and flexible tools for acquiring remote sensing data with fine spatial and temporal …

Forest fires are caused naturally by lightning, high atmospheric temperatures, and dryness.
Forest fires have ramifications for both climatic conditions and anthropogenic ecosystems …

With the installation of enormous public safety and transportation infrastructure cameras,
video analytics has come to play an essential part in public safety. Typically, video analytics …