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- Title
Retrieval of Winter Wheat Canopy Carotenoid Content with Ground- and Airborne-Based Hyperspectral Data.
- Authors
Ting Cui; Xianfeng Zhou; Yufeng Huang; Yanting Guo; Yunrui Lin; Leyi Song; Jingcheng Zhang
- Abstract
Accurate assessment of canopy carotenoid content (CCx+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 (Cx+c) and chlorophyll (Ca+b), accurate estimation of carotenoid using reflectance where carotenoid absorb is challenging. The objective of present study was to assess CCx+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 (R² = 0.95, p < 0.001) existed between Cx+c and Ca+b, and correlation between CCx+cC and wavelengths within 400 to 1000 nm range indicated that CCx+cC could be estimated using reflectance ranging from visible to near-infrared wavebands. Results of Cx+c assessment based on chlorophyll and carotenoid indices showed that red edge chlorophyll index (CI red edge) performed with the highest accuracy (R² = 0.77, RMSE = 22.27 µg/cm², MAE = 4.97 µg/cm²). Applying partial least square regression (PLSR) in CCx+cC retrieval emphasized the significance of reflectance within 700 to 750 nm range in CCx+cC assessment. Based on CI red edge index, use of airborne hyperspectral imagery achieved satisfactory results in mapping the spatial distribution of CCx+cC. This study demonstrates that it is feasible to accurately assess CCx+cC in winter wheat with red edge chlorophyll index provided that Cx+c correlated well with Ca+b at the canopy scale. it is therefore a promising method for CCx+cC retrieval at regional scale from aerial hyperspectral imagery.
- Subjects
WINTER wheat; CAROTENOIDS; HYPERSPECTRAL imaging systems; NEAR infrared radiation; DATA analysis
- Publication
Phyton (0031-9457), 2023, Vol 92, Issue 9, p2633
- ISSN
0031-9457
- Publication type
Article
- DOI
10.32604/phyton.2023.029259