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Penetration and scattering-Two optical phenomena to consider when applying proximal remote sensing technologies to
1Department of Entomology and Nematology, Davis, California, United States of America.
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.
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.
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