GaiaField Pro Hyperspectral Imaging Camera

Specifications

Number Of Channels: >4
Sensor Type: CCD
Wavelength Range: 400 – 1000 nm
Spectral Resolution: 3.5 nm
Numerical Aperture: F/2.8
Digital OutPut: 12 bit
Lens Connector: C-Mount
Dynamic Range: >66 dB
Light Transmission: >50 %
Pixel Size: 4.54×4.54 μm
CCD Pixels: 1936×1456
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Features

GaiaField-Pro series cameras offer the following key benefits:
 
  • Auto exposure time
  • Auto match scanning speed
  • Auxiliary camera
  • Data analysis (reflectance/radiometry, etc.)
  • Spectral imaging view and export functions
  • Spectral Angle matching
  • Images stitching
  • iPad and smartphone connectivity
 
Currently Zolix offers the following GaiaField-Pro series Hyperspectral Imaging Devices:
 
  • GaiaField-Pro-V10
  • GaiaField-Pro-V10E
  • GaiaField-Pro-N17E-N3
  • GaiaField-Pro-N17E-HR
 
All the specs are available in the downloadable data sheet

Applications

Hyperspectral Imaging Cameras have found applications in a number of domains:
     
Environmental: for example, to measure the water quality monitoring, or for atmospheric monitoring of the Marine environment.
   
Agricultural: while the initial investment can be a bit pricey, the utility of hyperspectral imaging in agriculture is by now well established. Hyperspectral remote sensing can be used to monitor the development and health of various crops. It can also be used to detect crop variety and give an early warning signal for disease outbreaks. Specialists are also looking into using these devices for detecting the chemical composition and nutritional content of plants.
  
Military: in military combat situations, hyperspectral imaging could provide a strategic advantage by easily detecting camouflage and enhancing the surveillance photography significantly.
  
Geological Research: in mineral exploration, this technique allows evaluating soil quality, as well as rapid mapping of nearly any mineral of commercial interest.
  
Medicine: Researchers across the globe have been working on the use of hyperspectral photography in diagnosing retinopathy and macular degeneration in early stages of disease development. In these experiments the camera detects a drop in retina oxygenation, which could indicate the onset of the ailment.