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Reflectance and fluorescence characterization of maize species using field laboratory measurements and lidar remote sensing

Zhao, Guangyu; Duan, Zheng; Ming, Lian; Li, Yiyun; Chen, Ruipeng; Hu, Jiandong LU ; Svanberg, Sune LU and Han, Yanlai (2016) In Applied Optics 55(19). p.5273-5279
Abstract

Laser-induced fluorescence is an important technique to study photosynthesis and plants. Information on chlorophyll and other pigments can be obtained. We have been using a mobile laboratory in a Chinese experimental farm setting to study maize (Zea mays L.) leaves by reflectance and fluorescence measurements and correlated the spectroscopic signals to the amount of fertilizer supplied. Further, we studied five different species of maize using the remote monitoring of the fluorescence signatures obtained with the same mobile laboratory, but now in a laser radar remote-sensing configuration. The system separation from the target area was 50 m, and 355 nm pulsed excitation using the frequency-tripled output from an Nd:YAG laser was... (More)

Laser-induced fluorescence is an important technique to study photosynthesis and plants. Information on chlorophyll and other pigments can be obtained. We have been using a mobile laboratory in a Chinese experimental farm setting to study maize (Zea mays L.) leaves by reflectance and fluorescence measurements and correlated the spectroscopic signals to the amount of fertilizer supplied. Further, we studied five different species of maize using the remote monitoring of the fluorescence signatures obtained with the same mobile laboratory, but now in a laser radar remote-sensing configuration. The system separation from the target area was 50 m, and 355 nm pulsed excitation using the frequency-tripled output from an Nd:YAG laser was employed. Principal component analysis and linear discriminant analysis were combined to identify the different maize species using their fluorescence spectra. Likewise, the spectral signatures in reflectance and fluorescence frequently allowed us to separate different fertilizer levels applied to plants of the same species.

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author
organization
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type
Contribution to journal
publication status
published
subject
in
Applied Optics
volume
55
issue
19
pages
7 pages
publisher
OSA
external identifiers
  • scopus:84978785828
  • wos:000379687300044
ISSN
1559-128X
DOI
10.1364/AO.55.005273
language
English
LU publication?
yes
id
6713f727-304e-462e-9e04-71742e037da5
date added to LUP
2017-01-17 15:54:34
date last changed
2017-09-18 11:32:08
@article{6713f727-304e-462e-9e04-71742e037da5,
  abstract     = {<p>Laser-induced fluorescence is an important technique to study photosynthesis and plants. Information on chlorophyll and other pigments can be obtained. We have been using a mobile laboratory in a Chinese experimental farm setting to study maize (Zea mays L.) leaves by reflectance and fluorescence measurements and correlated the spectroscopic signals to the amount of fertilizer supplied. Further, we studied five different species of maize using the remote monitoring of the fluorescence signatures obtained with the same mobile laboratory, but now in a laser radar remote-sensing configuration. The system separation from the target area was 50 m, and 355 nm pulsed excitation using the frequency-tripled output from an Nd:YAG laser was employed. Principal component analysis and linear discriminant analysis were combined to identify the different maize species using their fluorescence spectra. Likewise, the spectral signatures in reflectance and fluorescence frequently allowed us to separate different fertilizer levels applied to plants of the same species.</p>},
  author       = {Zhao, Guangyu and Duan, Zheng and Ming, Lian and Li, Yiyun and Chen, Ruipeng and Hu, Jiandong and Svanberg, Sune and Han, Yanlai},
  issn         = {1559-128X},
  language     = {eng},
  month        = {07},
  number       = {19},
  pages        = {5273--5279},
  publisher    = {OSA},
  series       = {Applied Optics},
  title        = {Reflectance and fluorescence characterization of maize species using field laboratory measurements and lidar remote sensing},
  url          = {http://dx.doi.org/10.1364/AO.55.005273},
  volume       = {55},
  year         = {2016},
}