@Article{phyton.2023.029259,
AUTHOR = {Ting Cui, Xianfeng Zhou, Yufeng Huang, Yanting Guo, Yunrui Lin, Leyi Song, Jingcheng Zhang},
TITLE = {Retrieval of Winter Wheat Canopy Carotenoid Content with Ground- and Airborne-Based Hyperspectral Data},
JOURNAL = {Phyton-International Journal of Experimental Botany},
VOLUME = {92},
YEAR = {2023},
NUMBER = {9},
PAGES = {2633--2648},
URL = {http://www.techscience.com/phyton/v92n9/53611},
ISSN = {1851-5657},
ABSTRACT = {Accurate assessment of canopy carotenoid content (CC<sub>x+c</sub>C) 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<sub>x+c</sub>) and chlorophyll (C<sub>a</sub>), accurate estimation of carotenoid using
reflectance where carotenoid absorb is challenging. The objective of present study was to assess CC<sub>x+c</sub>C in winter
wheat (<i>Triticum aestivum</i> 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<sup>2</sup> = 0.95, <i>p</i> < 0.001) existed between C<sub>x+c</sub> and C<sub>a</sub>, and correlation between
CC<sub>x+c</sub>C and wavelengths within 400 to 1000 nm range indicated that CC<sub>x+c</sub>C could be estimated using reflectance
ranging from visible to near-infrared wavebands. Results of C<sub>x+c</sub> assessment based on chlorophyll and carotenoid
indices showed that red edge chlorophyll index (CI red edge) performed with the highest accuracy (R<sup>2</sup> = 0.77,
RMSE = 22.27 μg/cm<sup>2</sup>
, MAE = 4.97 μg/cm<sup>2</sup>
). Applying partial least square regression (PLSR) in CC<sub>x+c</sub>C retrieval
emphasized the significance of reflectance within 700 to 750 nm range in CC<sub>x+c</sub>C assessment. Based on CI red
edge index, use of airborne hyperspectral imagery achieved satisfactory results in mapping the spatial distribution
of CC<sub>x+c</sub>C. This study demonstrates that it is feasible to accurately assess CC<sub>x+c</sub>C in winter wheat with red edge
chlorophyll index provided that C<sub>x+c</sub> correlated well with C<sub>a</sub>+b at the canopy scale. it is therefore a promising
method for CC<sub>x+c</sub>C retrieval at regional scale from aerial hyperspectral imagery.},
DOI = {10.32604/phyton.2023.029259}
}