气候变化领域集成服务门户(CCPortal): A novel combined spectral index for estimating the ratio of carotenoid to chlorophyll content to monitor crop physiological and phenological status

CCPortal

DOI	10.1016/j.jag.2018.10.012
	A novel combined spectral index for estimating the ratio of carotenoid to chlorophyll content to monitor crop physiological and phenological status
	Zhou X.; Huang W.; Zhang J.; Kong W.; Casa R.; Huang Y.
发表日期	2019
ISSN	15698432
起始页码	128
结束页码	142
卷号	76
英文摘要	Accurate estimation of the ratio of carotenoid (Car) to chlorophyll (Chl) content is crucial to provide valuable insight into diagnoses of plant physiological and phenological status in crop fields. Studies for assessing the ratio of Car to Chl content have been extensively conducted with semi-empirical approaches using spectral indices. However, spectral indices established in previous studies generally relied on site- or species-specific measured data and these indices typically lacked sufficient estimation accuracy for the ratio of Car to Chl content to be used across various species and under different physiological conditions. In this study, we propose a novel combined carotenoid/chlorophyll ratio index (CCRI) in the form of the carotenoid index (CARI) divided by the red-edge chlorophyll index (CI red-edge ): The value of the index is illustrated using synthetic data simulated from the leaf radiative transfer model PROSPECT-5 and with extensive measured datasets at both the leaf and canopy level from the ANGERS dataset and winter wheat and maize field experiments. Results show that CCRI was the index with the highest correlation with the ratio of Car to Chl content in PROSPECT-5 simulations (R 2 = 0.99, RRMSE = 8.65%) compared to other spectral indices. Calibration and validation results using the ANGERS and winter wheat leaf level data showed that CCRI achieved accurate estimation of the ratio of Car to Chl content (R 2 = 0.52, RRMSE = 14.10%). CCRI also showed a good performance (R 2 = 0.54, RRMSE = 17.08%) for estimation of the ratio of Car to Chl content in both calibration and validation with the winter wheat and maize canopy spectra measured in field experiments. Further investigation of the effect of the correlation between leaf Chl and Car content on the performance of CCRI indicated that variation of the correlation affected the retrieval accuracy of CCRI, and CCRI might not be very sensitive to changes of the ratio of Car to Chl content with low values (<0.10). © 2018
英文关键词	Crop monitoring; Hyperspectral; Leaf optical modeling; Ratio of Car to Chl content; Spectral index
语种	英语
scopus关键词	calibration; carotenoid; chlorophyll; correlation; crop plant; monitoring; phenology; physiology; remote sensing; spectral analysis; Triticum aestivum; Zea mays
来源期刊	International Journal of Applied Earth Observation and Geoinformation
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156523
作者单位	College of Life Information Science and Instrument Engineering, Hangzhou Dianzi University, Hangzhou, 310018, China; Key Laboratory of Quantitative Remote Sensing Information Technology, Academy of Opto-Electronics, Chinese Academy of Sciences, Beijing, 100094, China; Department of Agricultural and Forestry scieNcEs (DAFNE), Universita’ della Tuscia, via San Camillo de Lellis, Viterbo, 01100, Italy; United States Department of Agriculture, Agricultural Research Service, Crop Production Systems Research Unit, Stoneville, MS 38776, United States
推荐引用方式 GB/T 7714	Zhou X.,Huang W.,Zhang J.,et al. A novel combined spectral index for estimating the ratio of carotenoid to chlorophyll content to monitor crop physiological and phenological status[J],2019,76.
APA	Zhou X.,Huang W.,Zhang J.,Kong W.,Casa R.,&Huang Y..(2019).A novel combined spectral index for estimating the ratio of carotenoid to chlorophyll content to monitor crop physiological and phenological status.International Journal of Applied Earth Observation and Geoinformation,76.
MLA	Zhou X.,et al."A novel combined spectral index for estimating the ratio of carotenoid to chlorophyll content to monitor crop physiological and phenological status".International Journal of Applied Earth Observation and Geoinformation 76(2019).