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Penetration and scattering-Two optical phenomena to consider when applying proximal remote sensing technologies to

Christian Nansen1

  • 1Department of Entomology and Nematology, Davis, California, United States of America.

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Summary

Proximal remote sensing quality depends on understanding optical phenomena like penetration and scattering. Controlling these factors ensures robust hyperspectral reflectance data for accurate object classification.

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Area of Science:

  • Optics
  • Remote Sensing
  • Spectroscopy

Background:

  • Proximal remote sensing is widely used across disciplines, often by non-experts in optical physics.
  • Understanding optical phenomena is crucial for reliable data acquisition and interpretation.

Purpose of the Study:

  • To investigate the influence of optical penetration and scattering on the robustness of proximal remote sensing data.
  • To evaluate how these phenomena affect hyperspectral reflectance measurements.

Main Methods:

  • Laboratory experiments were conducted to analyze optical penetration and scattering.
  • Hyperspectral reflectance data were collected across 40 spectral bands (385-1024 nm).
  • Robustness was assessed based on data repeatability and object distinguishability.

Main Results:

  • Both optical penetration and scattering significantly impacted the robustness of hyperspectral reflectance data.
  • The influence of these optical phenomena varied across the examined spectral range.
  • Penetration affects signals from surface and internal properties, while scattering involves external influences.

Conclusions:

  • Characterizing optical phenomena is essential for improving the quality and reliability of proximal remote sensing.
  • This understanding is vital for accurate classification of engineering and biological objects using remote sensing technologies.