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The Headwall Blog

Customer in Australia Receives Grant for Hyperspectral Study of the Great Barrier Reef

Headwall customer Associate Professor Felipe Gonzalez, at the Queensland University of Technology (QUT) Institute for Future Environments and the Australian Centre for Robotic Vision is using Headwall hyperspectral imaging from airborne UAVs to monitor and analyze the health of the Great Barrier Reef has received part of the $50 million AI for Earth program by Microsoft.

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Customers at the Top of the World

NASA's Operation Ice Bridge (OIB) images the Earth’s polar ice in unprecedented detail to better understand processes that connect the polar regions with the global climate system.

Douglas DC-8, GulfStream V, Lockheed Martin P-3, and de Havilland Twin Otter flights provide a multi-instrument look at the behavior of the rapidly changing features of the Greenland and Antarctic ice.

Supraglacial lake observations using thermal imaging and spectra from a Headwall Nano-Hyperspec® VNIR sensor (left). Image from NASA Operation IceBridge Overview 2018.

Headwall Co-Aligned and SWIR sensors are utilized for hyperspectral imaging. These operate in temperatures well below normal operating conditions, and Headwall support personnel sometimes provide remote troubleshooting to personnel, who may be on satellite phone in flight.

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Headwall's Felsheim part of Panel Discussion on Hyperspectral Imaging at the Control Fair

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Have a Coffee on Us at MIT

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Headwall Sponsors GRSS STRATUS 2019 Remote Sensing Workshop

 

The Systems and Technologies for Remote Sensing Applications Through Unmanned Aerial Systems (STRATUS) workshop at the Rochester Institute of Technology is always fun yet educational, and a great opportunity for those of us in industry to meet with researchers and students.

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Hyperspectral Imaging to Catch Poultry Production Line Pollution

The November 2018 issue of Poultry Digital magazine features a "Foreign Intelligence" article (pages 10-13) on how imaging technology can reduce or eliminate poultry production line pollution. Headwall hyperspectral cameras can detect the spectral "fingerprint" of contamination such as fecal matter or the hallmarks of diseases such as septicemia and toxemia.

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Hyperspectral & LiDAR: The Gold Standard

As remote sensing evolves, users across all applications are discovering the value of adding LiDAR instruments to a hyperspectral payload. First, instruments of all types are getting smaller and lighter. Second, UAVs are more capable than ever in terms of carrying capacity and airborne stability. Finally, users across agriculture, minerals and mining, and environmental research can now collect a full suite of useful data at one time. With powerful GPS/IMU devices to tie the data streams together, a completely integrated hyperspectral-LiDAR airborne package is now the 'gold standard' for many remote sensing missions.

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Demonstrating Hyperspectral Imaging in Amsterdam!

In Amsterdam this week, more than 40 attendees at the IEEE SpectroExpo-WHISPERS conference have participated in a field test of Headwall's Nano-Hyperspec® VNIR sensor. VNIR is shorthand for 'Visible-Near-Infrared,' and the sensor collects image data from 400-1000nm across 270 spectral bands and 640 spatial pixels.

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Airborne Integration Considerations

Our customers come to us with missions that range from crop disease detection to infrastructure inspection, from environmental monitoring to pollution analysis. Hyperspectral imaging sensors provide a wealth of high-resolution data in the near-infrared and shortwave infrared ranges...beyond human vision. But we see an increasing level of integration occurring where hyperspectral rides alongside instruments such as thermal, LiDAR, and GPS/IMUs. The data streams coming from each instrument need to be synthesized ('data fusion') but the instruments themselves need to be positioned and located on the UAV to assure a balanced airborne package.

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Hyperspec SWIR Gets UAV Wings!

Remote sensing with hyperspectral sensors is  a combination of several elements: an imaging spectrometer and a fast data processing system to acquire and analyze spectral and spatial data. For remote sensing missions such as crop disease or invasive species detection, the spectral range of most interest is the visible-near-infrared (VNIR) from 400-1000nm.

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