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Data Exploitation

 

OVERVIEW

Acquiring spectral data is a hardware-driven exercise. But exploiting this data into meaningful information and action comes from precise interpretation. Headwall excels at producing data acquisition instruments and the software needed to drive decision-making. This is vital for applications in all four of Headwall's markets:

  • Remote sensing
  • Advanced Machine Vision
  • Medical/Biotech
  • Government & Defense

 

Sensor Fusion

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A major trend in remote sensing is data fusion, where complementary instruments combine into one payload aboard satellites, aircraft or UAVs. Headwall is leading the industry with integrated hyperspectral and LiDAR solutions that provide synthesized data sets for more precise monitoring of earth ecology.

An example of Headwall's sensor fusion can be found at NASA's Goddard Space Flight Center, pioneers of groundbreaking environmental analytics. The G-LiHT program combines hyperspectral with LiDAR and thermal to simultaneously map the composition, structure, and function of terrestrial ecosystems.

NASA

 

Measuring Vegetative Indices

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A significant Headwall data exploitation tool is AgView™,  an application package for commercial crop management.  AgView™ uses powerful algorithms and analytical tools to rapidly assess six crucial vegetative indices (VI's) based on narrow-band data in within the Visible-Near-Infrared (VNIR) range from 400 to 1000nm. With AgView, spectral data can be collected and interpreted on the same day, leading to much more time-efficient and precise crop-management.

 AgView-infographic

 

 

 

Solar-Induced Fluorescence (SIF) imaging

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The ability to measure actual photosynthetic activity is a breakthrough made possible with Headwall's high-resolution fluorescence imager that is the smallest and lightest of its type. This instrument has a spectral resolution of between 0.1 and 0.2nm, allowing it to capture very weak Oxygen A-B bands where indications of vegetation stress exist. Chlorophyll levels, leaf optical properties and vegetation structures can thus be determined rapidly and in near real-time with this Solar-Induced Fluorescence (SIF) imager.

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