Estimation of carotenoid content at the canopy scale using the carotenoid triangle ratio index from in situ and simulated hyperspectral data

	Estimation of carotenoid content at the canopy scale using the carotenoid triangle ratio index from in situ and simulated hyperspectral data
	Kong, Weiping 1; Huang, Wenjiang 1; Zhou, Xianfeng 1; Song, Xiaoyu 1; Casa, Raffaele 1
刊名	Journal of Applied Remote Sensing
	2016
卷号	10 期号:2
关键词	SMALL-FOOTPRINT LIDAR LASER SCANNER DATA CARBON SEQUESTRATION FOREST STRUCTURE TROPICAL FOREST CLASSIFICATION MODEL ENVIRONMENT ECOSYSTEM HEIGHTS
通讯作者	Huang, Wenjiang (huangwj@radi.ac.cn)
英文摘要	Precise estimation of carotenoids (Car) content in plants, from remotely sensed data, is challenging due to their small proportion in the overall total pigment content and to the overlapping of spectral absorption features with chlorophyll (Chl) in the blue region of the spectrum. The use of narrow band vegetation indices (VIs) obtained from hyperspectral data has been considered an effective way to estimate Car content. However, VIs have proved to lack sensitivity to low or high Car content in a number of studies. In this study, the carotenoid triangle ratio index (CTRI), derived from the existing modified triangular vegetation index and a single band reflectance at 531 nm, was proposed and employed to estimate Car canopy content.We tested the potential of three categories of hyperspectral indices earlier proposed for Car, Chl, Car/Chl ratio estimation, and the new CTRI index, for Car canopy content assessment in winter wheat and corn. Spectral reflectance representing plant canopies were simulated using the PROSPECT and SAIL radiative transfer model, with the aim of analyzing saturation effects of these indices, as well as Chl effects on the relationship between spectral indices and Car content. The result showed that the majority of the spectral indices tested, saturated with the increase of Car canopy content above 28 to 64 μg/cm2. Conversely, the CTRI index was more robust and was linearly and highly sensitive to Car content in winter wheat and corn datasets, with coefficients of determination of 0.92 and 0.75, respectively. The corresponding root mean square error of prediction were 6.01 and 9.70 μg/cm2, respectively. Furthermore, the CTRI index did not show a saturation effect and was not greatly influenced by changes of Chl values, outperforming all the other indices tested. Estimation of Car canopy content using the CTRI index provides an insight into diagnosing plant physiological status and environmental stress. © 2016 Society of Photo-Optical Instrumentation Engineers (SPIE).
学科主题	Environmental Sciences & Ecology; Remote Sensing; Imaging Science & Photographic Technology
类目[WOS]	Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:20162602538278
内容类型	期刊论文
源URL	[http://ir.radi.ac.cn/handle/183411/39375]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1. Institute of Remote Sensing and Digital Earth, Key Laboratory of Digital Earth Science, Chinese Academy of Sciences, 9 Dengzhuang South Road, Haidian District, Beijing 2.100094, China 3. University of Chinese, Academy of Sciences, 19A Yuquan Road, Shijingshan District, Beijing 4.100049, China 5. Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, 11 Shuguang Hua Yuan Middle Road, Haidian District, Beijing 6.100097, China 7. Università degli Studi della Tuscia, Department of Agricultural and Forestry Sciences, Via San Camillo de Lellis, Viterbo 8.01100, Italy
推荐引用方式 GB/T 7714	Kong, Weiping,Huang, Wenjiang,Zhou, Xianfeng,et al. Estimation of carotenoid content at the canopy scale using the carotenoid triangle ratio index from in situ and simulated hyperspectral data[J]. Journal of Applied Remote Sensing,2016,10(2).
APA	Kong, Weiping,Huang, Wenjiang,Zhou, Xianfeng,Song, Xiaoyu,&Casa, Raffaele.(2016).Estimation of carotenoid content at the canopy scale using the carotenoid triangle ratio index from in situ and simulated hyperspectral data.Journal of Applied Remote Sensing,10(2).
MLA	Kong, Weiping,et al."Estimation of carotenoid content at the canopy scale using the carotenoid triangle ratio index from in situ and simulated hyperspectral data".Journal of Applied Remote Sensing 10.2(2016).