Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

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

Not Accessible

Your library or personal account may give you access

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 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.

© 2016 Optical Society of America

Full Article  |  PDF Article
More Like This
Optical characterization of Chinese hybrid rice using laser-induced fluorescence techniques—laboratory and remote-sensing measurements

Duan Zheng, Ting Peng, Shiming Zhu, Ming Lian, Yiyun Li, Fu Wei, Jiabao Xiong, Sune Svanberg, Quanzhi Zhao, Jiandong Hu, and Guangyu Zhao
Appl. Opt. 57(13) 3481-3487 (2018)

Estimating the leaf nitrogen content of paddy rice by using the combined reflectance and laser-induced fluorescence spectra

Jian Yang, Lin Du, Jia Sun, Zhenbing Zhang, Biwu Chen, Shuo Shi, Wei Gong, and Shalei Song
Opt. Express 24(17) 19354-19365 (2016)

Laser-induced fluorescence of green plants. 1: A technique for the remote detection of plant stress and species differentiation

Emmett W. Chappelle, Frank M. Wood, James E. McMurtrey, and W. Wayne Newcomb
Appl. Opt. 23(1) 134-138 (1984)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (6)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (6)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.