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Full waveform hyperspectral LiDAR for terrestrial laser scanning.

Teemu Hakala1, Juha Suomalainen, Sanna Kaasalainen

  • 1Department of Photogrammetry and Remote Sensing, Finnish Geodetic Institute, Geodeetinrinne 2, Masala, 02431, Finland. Teemu.Hakala@fgi.fi

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|March 29, 2012
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Summary

We developed a full waveform hyperspectral light detection and ranging (LiDAR) instrument. This technology provides 3D point clouds with spectral data for enhanced remote sensing and target identification.

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Area of Science:

  • Geospatial Science
  • Spectroscopy
  • Remote Sensing Technology

Background:

  • Traditional remote sensing often lacks integrated 3D geometric and spectral information.
  • Hyperspectral imaging and LiDAR are powerful but typically separate technologies.
  • A need exists for instruments combining high-resolution 3D data with detailed spectral signatures.

Purpose of the Study:

  • To introduce a novel full waveform hyperspectral light detection and ranging (LiDAR) instrument.
  • To demonstrate the instrument's capability in generating 3D point clouds with spectral reflectance data.
  • To explore applications in remote sensing and other fields requiring 3D target identification.

Main Methods:

  • Design and implementation of a full waveform hyperspectral LiDAR system.
  • Acquisition of 3D point cloud data with co-registered spectral backscattered reflectance.
  • Processing of data to generate spectral indices for vegetation analysis.

Main Results:

  • Successful generation of 3D point clouds incorporating spectral information from a single measurement.
  • Demonstration of spectral 3D sensing capabilities, extending imaging spectroscopy.
  • Presentation of 3D point clouds and spectral indices for a Norway spruce specimen.

Conclusions:

  • The developed hyperspectral LiDAR offers a significant advancement for remote sensing.
  • This technology enables integrated 3D geometry and spectral analysis, crucial for diverse applications.
  • It opens new avenues for spectral 3D sensing in fields like environmental monitoring and material science.