Next Article in Journal
A Proposed Methodology to Analyze Plant Growth and Movement from Phenomics Data
Previous Article in Journal
A Study of the Intensity of Tropical Cyclone Idai Using Dual-Polarization Sentinel-1 Data
Open AccessArticle

Quantifying Chlorophyll Fluorescence Parameters from Hyperspectral Reflectance at the Leaf Scale under Various Nitrogen Treatment Regimes in Winter Wheat

by Min Jia 1,2,3,4, Dong Li 1,2,3,4, Roberto Colombo 5, Ying Wang 1,2,3,4, Xue Wang 1,2,3,4, Tao Cheng 1,2,3,4, Yan Zhu 1,2,3,4, Xia Yao 1,2,3,4,*, Changjun Xu 6, Geli Ouer 6, Hongying Li 6 and Chaokun Zhang 6
1
National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, Nanjing 210095, China
2
Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture, Nanjing 210095, China
3
Jiangsu Key Laboratory for Information Agriculture, Nanjing 210095, China
4
Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing 210095, China
5
Remote Sensing of Environmental Dynamics Laboratory, Department of Earth and Environmental Science (DISAT), Università di Milano-Bicocca, Piazza della Scienza 1, 20126 Milan, Italy
6
Qinghai Basic Geographic Information Center, Qinghai 810000, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(23), 2838; https://doi.org/10.3390/rs11232838
Received: 8 October 2019 / Revised: 16 November 2019 / Accepted: 23 November 2019 / Published: 29 November 2019
(This article belongs to the Section Remote Sensing in Agriculture and Vegetation)
Chlorophyll fluorescence (ChlF) parameters, especially the quantum efficiency of photosystem II (PSII) in dark- and light-adapted conditions (Fv/Fm and Fv’/Fm’), have been used extensively to indicate photosynthetic activity, physiological function, as well as healthy and early stress conditions. Previous studies have demonstrated the potential of applying hyperspectral data for the detection of ChlF parameters in vegetation. However, the performance of spectral features that have been documented to estimate ChlF is not ideal and is poorly understood. In this study, ChlF parameters and leaf reflectance were collected in two field experiments involving various wheat cultivars, nitrogen (N) applications, and plant densities, during the growing seasons of 2014 to 2015 and 2015 to 2016. Three types of spectral features, including vegetation indices (VIs), red edge position (REP), and wavelet features, were used to quantify ChlF parameters Fv/Fm and Fv’/Fm’. The results indicated that traditional chlorophyll fluorescence vegetation indices (ChlF VIs), such as the curvature index (CUR) and D705/D722 were capable of detecting Fv/Fm and Fv’/Fm’ under various scenarios. However, the wavelet-based REP (WREP-S4) and the wavelet feature (WF) (704 nm, scale 4) yielded higher accuracy than other spectral features in calibration and validation datasets. Moreover, the bands used to calculate WREP-S4 and WF (704 nm, scale 4) were all centered in the red edge region (680 to 760 nm), which highlighted the role of the red edge region in tracking the change of active ChlF signal. Our results are supported by previous studies, which have shown that the red edge region is vital for estimating the chlorophyll content, and also the ChlF parameters. These findings could help to improve our understanding of the relationships among active ChlF signal and reflectance spectra. View Full-Text
Keywords: chlorophyll fluorescence (ChlF) parameter; vegetation indices (VIs); red edge position (REP); continuous wavelet analysis (CWA); maximal photochemical efficiency of PSII (Fv/Fm), photochemical efficiency of PSII in the light (Fv’/Fm’) chlorophyll fluorescence (ChlF) parameter; vegetation indices (VIs); red edge position (REP); continuous wavelet analysis (CWA); maximal photochemical efficiency of PSII (Fv/Fm), photochemical efficiency of PSII in the light (Fv’/Fm’)
Show Figures

Graphical abstract

MDPI and ACS Style

Jia, M.; Li, D.; Colombo, R.; Wang, Y.; Wang, X.; Cheng, T.; Zhu, Y.; Yao, X.; Xu, C.; Ouer, G.; Li, H.; Zhang, C. Quantifying Chlorophyll Fluorescence Parameters from Hyperspectral Reflectance at the Leaf Scale under Various Nitrogen Treatment Regimes in Winter Wheat. Remote Sens. 2019, 11, 2838.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop