Hyperspectral Estimation Models of Winter Wheat Chlorophyll Content Under Elevated CO(2).
Hyperspectral Estimation Models of Winter Wheat Chlorophyll Content Under Elevated CO(2).
复制标题
高二氧化碳浓度下冬小麦叶绿素含量的高光谱估算模型
DOI：
10.3389/fpls.2021.642917
复制
发表时间：
2021
影响因子：
5.6
通讯作者：
Wang D
中科院分区：
文献类型：
--
作者：
Cai Y;Miao Y;Wu H;Wang D
叶绿素含量是冬小麦健康状况的重要指标。在CO2浓度升高的条件下，光谱反射率与叶绿素含量之间的关系是否不同，具有重要的研究价值。在这个开顶室实验中，二氧化碳处理被分为环境(ACO2；约400μ⋅摩尔-1)和升高(ECO2；环境+200μ⋅摩尔-1)水平。通过构建基于红边位置法、敏感波段法和光谱指数法的估计模型，对冬小麦光谱反射率与叶绿素含量的相关性进行了分析。结果表明，冬小麦冠层光谱曲线特征与叶绿素含量密切相关。在ACO2和Eco2条件下，基于敏感波段和差异植被指数(DVI)的模型可以更好地估计叶绿素含量，但在不同的CO2条件下，模型的精度不同。结果表明，高光谱测量可以有效地估计ACO2和ECO2条件下的叶绿素含量，为植物的生理和生长监测提供了有用的工具。
Chlorophyll content is an important indicator of winter wheat health status. It is valuable to investigate whether the relationship between spectral reflectance and the chlorophyll content differs under elevated CO2 condition. In this open-top chamber experiment, the CO2 treatments were categorized into ambient (aCO2; about 400 μmol⋅mol–1) or elevated (eCO2; ambient + 200 μmol⋅mol–1) levels. The correlation between the spectral reflectance and the chlorophyll content of the winter wheat were analyzed by constructing the estimation model based on red edge position, sensitive band and spectral index methods, respectively. The results showed that there was a close relationship between chlorophyll content and the canopy spectral curve characteristics of winter wheat. Chlorophyll content was better estimated based on sensitive spectral bands and difference vegetation index (DVI) under both aCO2 and eCO2 conditions, though the accuracy of the models varied under different CO2 conditions. The results suggested that the hyperspectral measurement can be effectively used to estimate the chlorophyll content under both aCO2 and eCO2 conditionsand could provide a useful tool for monitoring plants physiology and growth.
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影响因子：
4.3
作者：
Gitelson, AA;Merzlyak, MN;Lichtenthaler, HK
通讯作者：
Lichtenthaler, HK
DOI：
10.1109/tgrs.2007.897429
发表时间：
2007-10-01
影响因子：
8.2
作者：
Bannari, Abderrazak;Khurshid, K. Shahid;Schwarz, John W.
通讯作者：
Schwarz, John W.
影响因子：
3.9
作者：
Dou, Zhiguo;Cui, Lijuan;Li, Wei
通讯作者：
Li, Wei
影响因子：
5
作者：
Li, Xinchuan;Zhang, Youjing;Yang, Guijun
通讯作者：
Yang, Guijun
影响因子：
13.5
作者：
HUETE, AR;JACKSON, RD;POST, DF
通讯作者：
POST, DF