Hawaii University Uses UAS to Map Lava Flow

Mapping Kilauea Volcano lava flow swinglet CAM drone UAV 1Researchers from the University of Hawaiʻi at Hilo successfully mapped the active flow front of the June 27, 2014 Kilauea lava flow on Hawai‘i Island with an unmanned aerial vehicle (UAV) on October 22. In a collaborative partnership with Hawai‘i County Civil Defense and the U.S. Geological Survey Hawaiian Volcano Observatory, the flight team from the UH Hilo Spatial Data Analysis and Visualization (SDAV) Laboratory used a Sensefly SwingletCAM with a visible camera to collect high resolution stills later merged into a mosaic for use by Civil Defense emergency planners.

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New Digital Extreme Low-Light CMOS Camera

NocturnHigh resolution imaging is the key factor in UAV/UAS missions. Most of the currently available high resolution imaging systems, however are not well suited for support missions owing to their poor light response. In order to address this technical concern, PHOTONIS has developed a day-through-night CMOS imaging camera – Nocturn for SWaP requirements of support missions. This camera is useful for long-range identification of targets in both day and night conditions.

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World’s First QuadCopter

In 1927 George de Bothezat told Popular Science that helicopters were “exactly where the airplane stood after the first few flights of the Wright Brothers.” What he means is that helicopters had, indeed, flown. Bothezat himself had built one that lifted off the ground while carrying the weight of four people. They just hadn’t flown well. Continue reading

Insitu Announces ScanEagle 2

ScanEagle-PR3Insitu has announced ScanEagle 2, the next generation of its revolutionary ScanEagle platform. Leveraging lessons learned from more than 800,000 operational hours, ScanEagle 2 provides increased payload power and expanded payload options, a more robust navigation system, better image quality due to a fully digital video system and a state-of-the-art, purpose-built propulsion system. The aircraft’s new architecture also maximizes commonality with all Insitu systems, reducing training, hardware and life-cycle costs.

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