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Gong W, Yang J, Shi S, Du L, Sun J, Song S. The application of time decay characteristics of laser-induced fluorescence in the classification of vegetation. LUMINESCENCE 2016; 32:17-21. [PMID: 27125908 DOI: 10.1002/bio.3142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2016] [Revised: 03/14/2016] [Accepted: 03/17/2016] [Indexed: 11/10/2022]
Abstract
In this study, the time decay of the chlorophyll fluorescence intensity (TDCFI) of vegetation was measured based on laser-induced fluorescence (LIF) technology with a 355 nm laser serving as the excitation light source. The pseudo-color diagram of the TDCFI (PDTDCFIs) was proposed for use as a characteristic fingerprint for the analysis of various plant species based on variations in the fluorescence intensity over time. Compared with the steady-state fluorescence spectra, two-dimensional PDTDCFIs contained more spectral information, including variations in both the shape of the laser-induced fluorescence spectra and the relative intensity. The experimental results demonstrated that the PDTDCFIs of various plant species show distinct differences, and this was successfully applied in the classification of plant species. Therefore, the PDTDCFIs of plants could provide researchers with a more reliable and useful tool for the characterization of vegetation. Copyright © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
- Wei Gong
- State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, People's Republic of China.,Collaborative Innovation Center of Geospatial Technology, Wuhan, 430079, People's Republic of China
| | - Jian Yang
- State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, People's Republic of China
| | - Shuo Shi
- State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, People's Republic of China.,Collaborative Innovation Center of Geospatial Technology, Wuhan, 430079, People's Republic of China.,School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430072, People's Republic of China
| | - Lin Du
- State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, People's Republic of China.,School of Physics and Technology, Wuhan University, Wuhan, 430072, People's Republic of China
| | - Jia Sun
- State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, People's Republic of China
| | - Shalei Song
- Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, 430071, People's Republic of China
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Mu T, Chen S, Zhang Y, Chen H, Guo P, Meng F. Classification of Motor Oil Using Laser-Induced Fluorescence and Phosphorescence. ANAL LETT 2015. [DOI: 10.1080/00032719.2015.1086777] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Meng F, Chen S, Zhang Y, Chen H, Guo P, Mu T, Liu X. Characterization of Motor Oil by Laser-Induced Fluorescence. ANAL LETT 2015. [DOI: 10.1080/00032719.2015.1015073] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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