Open Access
ARTICLE
Retrieval of Winter Wheat Canopy Carotenoid Content with Ground- and Airborne-Based Hyperspectral Data
Ting Cui, Xianfeng Zhou*, Yufeng Huang, Yanting Guo, Yunrui Lin, Leyi Song, Jingcheng Zhang
College of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou, 310018, China
* Corresponding Author: Xianfeng Zhou. Email:
Phyton-International Journal of Experimental Botany 2023, 92(9), 2633-2648. https://doi.org/10.32604/phyton.2023.029259
Received 09 March 2023; Accepted 15 May 2023; Issue published 28 July 2023
Abstract
Accurate assessment of canopy carotenoid content (CC
x+cC) in crops is central to monitor physiological conditions in plants and vegetation stress, and consequently supporting agronomic decisions. However, due to the overlap of absorption peaks of carotenoid (C
x+c) and chlorophyll (C
a), accurate estimation of carotenoid using
reflectance where carotenoid absorb is challenging. The objective of present study was to assess CC
x+cC in winter
wheat (
Triticum aestivum L.) with ground- and aircraft-based hyperspectral measurements in the visible and
near-infrared spectrum. In-situ hyperspectral reflectance were measured and airborne hyperspectral data were
acquired during major growth stages of winter wheat in five consecutive field experiments. At the canopy level,
a remarkable linear relationship (R
2 = 0.95,
p < 0.001) existed between C
x+c and C
a, and correlation between
CC
x+cC and wavelengths within 400 to 1000 nm range indicated that CC
x+cC could be estimated using reflectance
ranging from visible to near-infrared wavebands. Results of C
x+c assessment based on chlorophyll and carotenoid
indices showed that red edge chlorophyll index (CI red edge) performed with the highest accuracy (R
2 = 0.77,
RMSE = 22.27 μg/cm
2
, MAE = 4.97 μg/cm
2
). Applying partial least square regression (PLSR) in CC
x+cC retrieval
emphasized the significance of reflectance within 700 to 750 nm range in CC
x+cC assessment. Based on CI red
edge index, use of airborne hyperspectral imagery achieved satisfactory results in mapping the spatial distribution
of CC
x+cC. This study demonstrates that it is feasible to accurately assess CC
x+cC in winter wheat with red edge
chlorophyll index provided that C
x+c correlated well with C
a+b at the canopy scale. it is therefore a promising
method for CC
x+cC retrieval at regional scale from aerial hyperspectral imagery.
Keywords
Cite This Article
APA Style
Cui, T., Zhou, X., Huang, Y., Guo, Y., Lin, Y. et al. (2023). Retrieval of winter wheat canopy carotenoid content with ground- and airborne-based hyperspectral data. Phyton-International Journal of Experimental Botany, 92(9), 2633-2648. https://doi.org/10.32604/phyton.2023.029259
Vancouver Style
Cui T, Zhou X, Huang Y, Guo Y, Lin Y, Song L, et al. Retrieval of winter wheat canopy carotenoid content with ground- and airborne-based hyperspectral data. Phyton-Int J Exp Bot. 2023;92(9):2633-2648 https://doi.org/10.32604/phyton.2023.029259
IEEE Style
T. Cui et al., "Retrieval of Winter Wheat Canopy Carotenoid Content with Ground- and Airborne-Based Hyperspectral Data," Phyton-Int. J. Exp. Bot., vol. 92, no. 9, pp. 2633-2648. 2023. https://doi.org/10.32604/phyton.2023.029259