Hyperspectral characteristics and inversion model estimation of winter wheat under different elevated CO2 concentrations

doi:10.1080/01431161.2020.1823038

	Hyperspectral characteristics and inversion model estimation of winter wheat under different elevated CO2 concentrations
	Liu, Chao ; Hu, Zhenghua ; Islam, A. R. M. Towfiqul ; Kong, Rui ; Yu, Lingfei 2; Wang, Yuanyuan
	2021
发表期刊	INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN	0143-1161
卷号	42 期号:3 页码:1035-1053
摘要	As carbon dioxide (CO2) is required for plants photosynthesis, elevated CO2 (eCO(2)) concentrations have potential impacts on plant growth and development. The leaf area index (LAI) and soil and plant analysis development (SPAD), which are often used for characterize the chlorophyll content of plants, are important parameters for characterizing plant growth. The purpose of this study was to investigate the effects of different eCO(2) concentrations on winter wheat growth and select sensitive spectral parameters to establish LAI and SPAD estimation models. A field experiment in which winter wheat was exposed to different eCO(2) concentrations was performed using open-top chambers (OTCs) during the winter wheat growing season from 2017 to 2018. The experimental treatments consisted of exposure to the ambient CO2 concentration (CK), 80 mu mol mol(-1) CO2 above CK (T (1)), and 200 mu mol mol(-1) CO2 above CK (T (2)). The canopy spectral reflectance, LAI, and SPAD were measured during the main growth stages of the winter wheat. The results showed that no significant differences in LAI and SPAD were found under different treatments. Different eCO(2) concentrations did not change the reflectance curves, solely affecting the reflectance. Elevated CO2 conditions induced the red edge parameters red shift first and then blue shift. The first derivative reflectance at 755 nm (R' (755)), red edge position (lambda (Red)), ratio of the red edge area to the blue edge area (SDRed/SDBlue), and normalized value of the red edge area and blue edge area ((SDRed - SDBlue)/(SDRed + SDBlue)) were highly correlated with the LAI. The first derivative reflectance at 764 nm (R' (764)), SDRed/SDBlue, ratio of the red edge area to the yellow edge area (SDRed/SDYellow), (SDRed - SDBlue)/(SDRed + SDBlue), and normalized value of the red edge area and yellow edge area ((SDRed - SDYellow)/(SDRed + SDYellow)) were significantly correlated with the SPAD. The optimal regression model for the LAI was y = 0.49x (0.74), simulated by SDRed/SDBlue; that for the SPAD was y = - 0.035x (2)-1.96x + 25.83, simulated by SDRed/SDYellow. The coefficient of determination (R (2)) values were 0.49 and 0.61, respectively, and the root mean square error (RMSE) values were 0.38 and 1.51, respectively. Overall, our results indicate that inversion models based on SDRed/SDBlue and SDRed/SDYellow can be used to estimate the LAI and SPAD values under eCO(2) concentration conditions during the winter wheat growth period.
学科领域	Remote Sensing ; Imaging Science & Photographic Technology
DOI	10.1080/01431161.2020.1823038
收录类别	SCI
语种	英语
WOS研究方向	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000595160700001
出版者	TAYLOR & FRANCIS LTD
文献子类	Article
出版地	ABINGDON
EISSN	1366-5901
资助机构	National Natural Science Foundation of China [41530533, 41775152, 41775151] ; Postgraduate Research & Practice Innovation Program of Jiangsu Province [SJKY19_0948] ; Jiangsu Key Laboratory of Agricultural Meteorology Foundation [KYQ1404]
作者邮箱	zhhu@nuist.edu.cn
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ibcas.ac.cn/handle/2S10CLM1/26294
专题	植被与环境变化国家重点实验室
作者单位	1.Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Sch Appl Meteorol, Jiangsu Key Lab Agr Meteorol, Nanjing, Peoples R China 2.Begum Rokeya Univ, Disaster Management E Learning Ctr, Dept Disaster Management, Rangpur, Bangladesh 3.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Liu, Chao,Hu, Zhenghua,Islam, A. R. M. Towfiqul,et al. Hyperspectral characteristics and inversion model estimation of winter wheat under different elevated CO2 concentrations[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2021,42(3):1035-1053.
APA	Liu, Chao,Hu, Zhenghua,Islam, A. R. M. Towfiqul,Kong, Rui,Yu, Lingfei,&Wang, Yuanyuan.(2021).Hyperspectral characteristics and inversion model estimation of winter wheat under different elevated CO2 concentrations.INTERNATIONAL JOURNAL OF REMOTE SENSING,42(3),1035-1053.
MLA	Liu, Chao,et al."Hyperspectral characteristics and inversion model estimation of winter wheat under different elevated CO2 concentrations".INTERNATIONAL JOURNAL OF REMOTE SENSING 42.3(2021):1035-1053.

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