气候变化领域集成服务门户(CCPortal): Mapping leaf chlorophyll content from Sentinel-2 and RapidEye data in spruce stands using the invertible forest reflectance model

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DOI	10.1016/j.jag.2019.03.003
	Mapping leaf chlorophyll content from Sentinel-2 and RapidEye data in spruce stands using the invertible forest reflectance model
	Darvishzadeh R.; Skidmore A.; Abdullah H.; Cherenet E.; Ali A.; Wang T.; Nieuwenhuis W.; Heurich M.; Vrieling A.; O'Connor B.; Paganini M.
发表日期	2019
ISSN	15698432
起始页码	58
结束页码	70
卷号	79
英文摘要	Leaf chlorophyll plays an essential role in controlling photosynthesis, physiological activities and forest health. In this study, the performance of Sentinel-2 and RapidEye satellite data and the Invertible Forest Reflectance Model (INFORM) radiative transfer model (RTM) for retrieving and mapping of leaf chlorophyll content in the Norway spruce (Picea abies) stands of a temperate forest was evaluated. Biochemical properties of leaf samples as well as stand structural characteristics were collected in two subsequent field campaigns during July 2015 and 2016 in the Bavarian Forest National Park (BFNP), Germany, parallel with the timing of the RapidEye and Sentinel-2 images. Leaf chlorophyll was measured both destructively and nondestructively using wet chemical spectrophotometry analysis and a hand-held chlorophyll content meter. The INFORM was utilised in the forward mode to generate two lookup tables (LUTs) in the spectral band settings of RapidEye and Sentinel-2 data using information obtained from the field campaigns. Before generating the LUTs, the sensitivity of the model input parameters to the spectral data from RapidEye and Sentinel-2 were examined. The canopy reflectance of the studied plots were obtained from the satellite images and used as input for the inversion of LUTs. The coefficient of determination (R 2 ), root mean square errors (RMSE), and the normalised root mean square errors (NRMSE), between the retrieved and measured leaf chlorophyll, were then used to examine the attained results from RapidEye and Sentinel-2 data, respectively. The use of multiple solutions and spectral subsets for the inversion process were further investigated to enhance the retrieval accuracy of foliar chlorophyll. The result of the sensitivity analysis demonstrated that the simulated canopy reflectance of Sentinel-2 is sensitive to the alternation of all INFORM input parameters, while the simulated canopy reflectance from RapidEye did not show sensitivity to leaf water content variations. In general, there was agreement between the simulated and measured reflectance spectra from RapidEye and Sentinel-2, particularly in the visible and red-edge regions. However, examining the average absolute error from the simulated and measured reflectance revealed a large discrepancy in spectral bands around the near-infrared shoulder. The relationship between retrieved and measured leaf chlorophyll content from the Sentinel-2 data had a higher coefficient of determination with a higher NRMSE (NRMSE = 0.36 μg/cm 2 , R 2 = 0.45) compared to those obtained using the RapidEye data (NRMSE = 0.31 μg/cm 2 and R 2 = 0.39). Using the mean of the ten best solutions (retrieved chlorophyll) the retrieval error for both Sentinel-2 and RapidEye data decreased (NRMSE = 0.34, NRMSE = 0.26, respectively), as compared to only selecting the single best solution. When the Sentinel-2 red edge bands were used as the spectral subset, the retrieval error of leaf chlorophyll decreased indicating the importance of red edge, as well as properly located spectral bands, for leaf chlorophyll estimation. The chlorophyll maps produced by the inversion of the two LUTs effectively represented the variation of foliar chlorophyll in BFNP and confirmed our earlier findings on the observed stress pattern caused by insect infestation. Our findings emphasise the importance of multispectral satellites which benefits from red edge spectral bands such as Sentinel-2 as well as RapidEye for regional mapping of vegetation foliar properties, particularly, chlorophyll using RTMs such as INFORM. © 2019 Elsevier B.V.
英文关键词	INFORM; Leaf chlorophyll content; Lookup table; Norway spruce; RapidEye; Red edge; Sentinel-2
语种	英语
scopus关键词	chlorophyll; evergreen tree; leaf; mapping; radiative transfer; RapidEye; reflectance; satellite data; Sentinel; temperate forest; Hexapoda; Picea; Picea abies
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/156461
作者单位	Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, Enschede, AE 7500, Netherlands; Department of Environmental Science, Macquarie UniversityNSW 2106, Australia; Haramaya University, Department of Geo-information Science, P.O. box 138, Dire Dawa, Ethiopia; Department of Visitor Management and National Park Monitoring, Bavarian Forest National Park, Grafenau, 94481, Germany; Chair of Wildlife Ecology and Wildlife Management, University of Freiburg, Tennenbacher Straße 4, Germany; UN Environment World Conservation Monitoring Centre, 219 Huntingdon Road, Cambridge, CB3 0DL, United Kingdom; European Space Agency - ESRIN, Via Galileo Galilei, Casella Postale 64, Frascati, RM 00044, Italy
推荐引用方式 GB/T 7714	Darvishzadeh R.,Skidmore A.,Abdullah H.,et al. Mapping leaf chlorophyll content from Sentinel-2 and RapidEye data in spruce stands using the invertible forest reflectance model[J],2019,79.
APA	Darvishzadeh R..,Skidmore A..,Abdullah H..,Cherenet E..,Ali A..,...&Paganini M..(2019).Mapping leaf chlorophyll content from Sentinel-2 and RapidEye data in spruce stands using the invertible forest reflectance model.International Journal of Applied Earth Observation and Geoinformation,79.
MLA	Darvishzadeh R.,et al."Mapping leaf chlorophyll content from Sentinel-2 and RapidEye data in spruce stands using the invertible forest reflectance model".International Journal of Applied Earth Observation and Geoinformation 79(2019).