Paper Info
Title
Preprocessing Ground-Based Visible/Near Infrared Imaging Spectroscopy Data Affected by Smile Effects.
Abstract
A data set of very high-resolution visible/near infrared hyperspectral images of young Pinus contorta trees was recorded to study the effects of herbicides on this invasive species. The camera was fixed on a frame while the potted trees were moved underneath on a conveyor belt. To account for changing illumination conditions, a white reference bar was included at the edge of each image line. Conventional preprocessing of the images, i.e., dividing measured values by values from the white reference bar in the same image line, failed and resulted in bad quality spectra with oscillation patterns that are most likely due to wavelength shifts across the sensor's field of view (smile effect). An additional hyperspectral data set of a Spectralon white reference panel could be used to characterize and correct the oscillations introduced by the division, resulting in a high quality spectra that document the effects of herbicides on the reflectance characteristics of coniferous trees. While the spectra of untreated trees remained constant over time, there were clear temporal changes in the spectra of trees treated with both herbicides. One herbicide worked within days, the other one within weeks. Ground-based imaging spectroscopy with meaningful preprocessing proved to be an appropriate tool for monitoring the effects of herbicides on potted plants.
Year
DOI
Venue
2019
10.3390/s19071543
SENSORS
Keywords
Field
DocType
Specim FX10,field imaging spectroscopy,preprocessing,forestry,herbicide,invasive species
Field of view,Analytical chemistry,Near-infrared spectroscopy,Remote sensing,Spectral line,Hyperspectral imaging,Spectralon,Engineering,Spectroscopy,Imaging spectroscopy,Wavelength
Journal
Volume
Issue
ISSN
19
7
1424-8220
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Henning Buddenbaum1498.40
Michael S Watt200.34
Rebecca C Scholten300.68
Joachim Hill4618.78