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

  • Customizable selection of wavelength range of interest; 
  • Optional number of spectral channels; 
  • Setting of the number of spectral channels within any wavelength range can be achieved; 
  • The acquisition frame rate can be increased by setting the number of bands;
  • Each set of data can be stored independently, and one-click reflectivity calibration can be achieved through software; 
  • Individual and batch data processing can be achieved; 
  • Inversion results can be output in real time by inputting the corresponding model;

Note: The above functions only support visible-near infrared cameras;

Applications

 
 
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.