Remote Vegetation Sensing With Drones & SWIR Cameras

By Mike Ball / 18 Jan 2021
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Raptor Photonics Owl 640M cameraRaptor Photonics has published an application note detailing how its Owl 640M SWIR (short wave infrared) cameras have been used in conjunction with an unmanned aerial vehicle (UAV) to carry out reflectance spectroscopy in order to efficiently calculate vegetation indices.

The multispectral multi-camera drone payload was developed by researchers from the University of Applied Science Koblenz, and results showed a marked increase in efficiency compared to traditional methods using biomass sampling.

Download the application note from Raptor Photonics’ website

The application note covers:

  • The limitations of visible and near-infrared sensors for deriving vegetation indices
  • The advantages of the Owl 640M SWIR cameras
  • The layout of the experimental site
  • The workflow for post-processing of the captured data

The Owl 640M SWIR camera is a low-SWaP (size, weight and power) module that provides low-noise imaging capabilities from the 0.6μm to 1.7μm wavelengths and features onboard automated gain control for clear video in all light conditions. To find out more, download the application note from Raptor Photonics’ website.

Posted by Mike Ball Mike Ball is our resident technical editor here at Unmanned Systems Technology. Combining his passion for teaching, advanced engineering and all things unmanned, Mike keeps a watchful eye over everything related to the unmanned technical sector. With over 10 years’ experience in the unmanned field and a degree in engineering, Mike’s been heading up our technical team here for the last 8 years. Connect & Contact
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