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Preprocessing Ground-Based Visible/Near Infrared Imaging Spectroscopy Data Affected by Smile Effects.

Henning Buddenbaum1, Michael S Watt2, Rebecca C Scholten3,4

  • 1Environmental Remote Sensing and Geoinformatics, Trier University, 54286 Trier, Germany. buddenbaum@uni-trier.de.

Sensors (Basel, Switzerland)
|April 3, 2019
PubMed
Summary

This study demonstrates how hyperspectral imaging can effectively monitor herbicide effects on invasive lodgepole pine (Pinus contorta). Advanced preprocessing corrected image distortions, revealing distinct spectral changes indicating herbicide efficacy over time.

Keywords:
Specim FX10field imaging spectroscopyforestryherbicideinvasive speciespreprocessing

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Area of Science:

  • Plant Science
  • Remote Sensing
  • Environmental Science

Background:

  • Invasive species management requires effective monitoring tools.
  • Hyperspectral imaging offers detailed spectral information for vegetation analysis.
  • Previous methods for analyzing hyperspectral data from plants faced challenges with illumination variations and sensor artifacts.

Purpose of the Study:

  • To investigate the impact of herbicides on invasive Pinus contorta using hyperspectral imaging.
  • To develop and validate a robust preprocessing technique for hyperspectral data of plants.
  • To assess the temporal dynamics of herbicide effects on coniferous tree reflectance.

Main Methods:

  • Acquisition of high-resolution visible/near-infrared hyperspectral images of potted Pinus contorta.
  • Implementation of a novel preprocessing method using a Spectralon white reference panel to correct for sensor smile effect and illumination changes.
  • Analysis of spectral reflectance changes over time in response to herbicide treatment.

Main Results:

  • Conventional preprocessing failed due to illumination and sensor smile effects.
  • The developed preprocessing method yielded high-quality spectra, revealing herbicide-induced changes in reflectance.
  • Spectra of untreated trees remained stable, while treated trees showed significant temporal spectral alterations.
  • Different herbicides exhibited distinct timelines for their effects, observed within days or weeks.

Conclusions:

  • Ground-based imaging spectroscopy, with appropriate preprocessing, is a suitable method for monitoring herbicide efficacy on plants.
  • Hyperspectral data can detect subtle physiological changes in trees caused by herbicide application.
  • The study provides a foundation for using imaging spectroscopy in invasive species management and phytotoxicology.