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Small unmanned aircraft systems (sUAS) are replacing or supplementing manned aircraft and ground-based surveys in many animal monitoring situations due to better coverage at finer spatial and temporal resolutions, access, cost, bias, impacts, safety, efficiency, and logistical benefits.
The purpose of the current study was to examine the effect of two interface types on operator situation awareness (SA), performance, and workload for small Unmanned Aircraft System (sUAS) search and rescue operations in a simulated computer-based task.
System, design and methodology to load and dispense different articles from an autonomous aircraft are disclosed. In one embodiment, the design of a unique detachable dispenser for delivery of articles is described along with an intelligent methodology of loading and delivering the articles to and from the dispenser. Design of the dispenser, interaction of the dispenser with the flight control unit and ground control or base-station, and interaction of the base station with the sender or recipient of the article, are also described.
Ground-based global positioning system (GPS) surveys of
post-flood high-water marks (HWMs) and topography are commonly used to define flood inundation
and stage, but can be time-consuming, difficult, and expensive to conduct. Here, we demonstrate and
test the use of small unmanned aircraft systems (sUAS) and close-range remote sensing techniques
to collect high-accuracy flood data to define peak flood stage elevations and river cross-sections.
