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Simulation and Verification of Vertical Heterogeneity Spectral Response of Winter Wheat Based on the mSCOPE Model

文献类型： 外文期刊

作者： Huang, Linsheng 1 ; Zhang, Yuanyuan 1 ; Yang, Guijun 2 ; Liang, Dong 1 ; Li, Heli 2 ; Li, Zhenhai 2 ; Yang, Xiaodong 2 ;

作者机构： 1.Anhui Univ, Natl Engn Res Ctr Agroecol Big Data Anal & Applic, Hefei 230601, Peoples R China

2.Beijing Engn Res Ctr Agr Internet Things, Beijing 100097, Peoples R China

关键词： SCOPE; sensitivity analysis; FAST; vertical heterogeneity; vegetation index; spectral reflectance; winter wheat

期刊名称：SENSORS （ 影响因子：3.576； 五年影响因子：3.735 ）

ISSN：

年卷期： 2020 年 20 卷 16 期

页码：

收录情况： SCI

摘要： Vertical heterogeneity of the biochemical characteristics of crop canopy is important in diagnosing and monitoring nutrition, disease, and crop yield via remote sensing. However, the research on vertical isomerism was not comprehensive. Experiments were carried out from the two levels of simulation and verification to analyze the applicability of this recently development model. Effects of winter wheat on spectrum were studied when input different structure parameters (e.g., leaf area index (LAI)) and physicochemical parameters (e.g., chlorophyll content (Chla+b) and water content (Cw)) to the mSCOPE (Soil Canopy Observation, Photochemistry, and Energy fluxes) model. The maximum operating efficiency was 127.43, when the winter wheat was stratified into three layers. Meanwhile, the simulation results also proved that: the vertical profile of LAI had an influence on canopy reflectance in almost all bands; the vertical profile ofChla+bmainly affected the reflectivity of visible region; the vertical profile ofCwonly affected the near-infrared reflectance. The verification results showed that the vegetation indexes (VIs) selected of different bands were strongly correlated with the parameters of the canopy. LAI,Chla+bandCwaffected VIs estimation related to LAI,Chla+bandCwrespectively. The Root Mean Square Error (RMSE) of the new-proposedNDVIgreenwas the smallest, which was 0.05. Sensitivity analysis showed that the spectrum was more sensitive to changes in upper layer parameters, which verified the rationality of mSCOPE model in explaining the law that light penetration in vertical nonuniform canopy gradually decreases with the increase of layers.

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