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.
Original language | English |
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Article number | 1543 |
Pages (from-to) | 1-11 |
Number of pages | 11 |
Journal | Sensors (Basel, Switzerland) |
Volume | 19 |
Issue number | 7 |
DOIs | |
Publication status | Published - 30 Mar 2019 |
Funding
Funding: This research was partly funded by the German Aerospace Center (DLR) and the German Federal Ministry of Economic Affairs and Energy in the framework of the EnMAP project, grant number 50 EE 1530. R.S. was supported by the DAAD-PROMOS program. The New Zealand funding for the project was obtained by the Winning Against Wildings programme (Contract Number C09X1611) funded by the New Zealand Ministry for Business, Innovation, and Employment. This funding was supplemented by co-funding from the Forest Growers Levy Trust and Scion’s Strategic Science Investment Fund.
Funders | Funder number |
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DAAD-PROMOS | C09X1611 |
German Federal Ministry of Economic Affairs and Energy | 50 EE 1530 |
New Zealand Ministry for Business, Innovation, and Employment | |
Deutsches Zentrum für Luft- und Raumfahrt |
Keywords
- Specim FX10
- field imaging spectroscopy
- forestry
- herbicide
- invasive species
- preprocessing