Corning, PrecisionHawk Join Forces for Drone Platform with Hyperspectral Sensor

PrecisionHawk, a provider of advanced commercial drone technologies, is collaborating with Corning Inc. to equip researchers with a platform for collecting hyperspectral data with drones.

Specifically, the Corning microHSI 410-SHARK hyperspectral camera is being coupled with PrecisionHawk’s platform for collection and analysis of drone data. According to the companies, the sensor is capable of on-board processing, which produces calibrated, georeferenced hyper-cubes post flight. This is suited for enterprise verticals including agriculture, mining, construction, energy and insurance.

“Historically, low-altitude data collection using hyperspectral sensors has been very difficult to achieve due to operational complexities,” states Richard Zacaroli, commercial business development manager of hyperspectral imaging products at Corning Inc. “Due to the integration between Corning’s revolutionary sensors and PrecisionHawk’s drone and data suite, it’s now possible for novice users to properly and effectively collect high-resolution hyperspectral data.”

The microHSI 410-SHARK “visible to near-infrared” hyperspectral imager is equipped with 154 spectral bands and a spectral range of 400-1,000 nanometers. The sensor can be mounted on several of PrecisionHawk’s drone platforms for simplified data collection and can be purchased starting at $7,100.

Specifically, PrecisionHawk will offer the sensor as an optional add-on to drone data packages featuring DJI’S M100 and M600 drones, which are integrated with PrecisionHawk’s flight planning, processing and analysis tools.

“Hyperspectral imagery is a tremendously rich dataset that helps researchers pick up vital information over a detailed spectrum for analysis,” explains Thomas Haun, senior vice president of partnerships at PrecisionHawk. “With Corning’s 154-band hyperspectral product, researchers can obtain and create a wide variety of spectral maps to hone in on specific problems the customer is trying to solve that would otherwise not be identifiable with visual or multispectral sensors.”


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