气候变化领域集成服务门户(CCPortal): Estimating mineral content of indigenous browse species using laboratory spectroscopy and sentinel-2 imagery

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DOI	10.1016/j.jag.2018.10.013
	Estimating mineral content of indigenous browse species using laboratory spectroscopy and sentinel-2 imagery
	Gama M.J.; Cho M.A.; Chirwa P.; Masemola C.
发表日期	2019
ISSN	15698432
起始页码	141
结束页码	150
卷号	75
英文摘要	Trees provide low-cost organic inputs, with the potential to improve livelihoods for rural communities. Understanding foliar nutrients of tree species is crucial for integration of trees into agroecosystems. The study explored nitrogen (N), phosphorus (P), potassium (K) and calcium (Ca) concentrations of nine browse species collected from the bushveld region of South Africa using wet analysis and laboratory spectroscopy in the region 400–2500 nm, along with partial least squares (PLS) regression. We further explore the relationship between canopy reflectance of Sentinel-2 image and foliar N, P, K & Ca. Laboratory spectroscopy was significant for N estimation, while satellite imagery also revealed useful information about the estimation of nitrogen at landscape level. Nitrogen was highly correlated with spectral reflectance (R 2 = 0.72, p < 0.05) for winter and (R 2 = 0.88, p < 0.05) for summer, whilst prediction of phosphorus potassium and calcium were considered not accurate enough to be of practical use. Modelling the relationship using Sentinel-2 data showed lower correlations for nitrogen (R 2 = 0.44, p < 0.05) and the other nutrients when compared to the dried samples. The findings indicate that there is potential to assess and monitor resource quality of indigenous trees using nitrogen as key indicator. This multi-level remote sensing approach has promise for providing rapid plant nutrient analyses at different scales. © 2018 Elsevier B.V.
英文关键词	Continuum removal; Hyperspectral data; Laboratory spectroscopy; Multispectral data; Nitrogen; Partial least squares regression; Sentinel-2; Wet analysis
语种	英语
scopus关键词	agricultural ecosystem; calcium; imagery; laboratory method; least squares method; nitrogen; phosphorus; potassium; Sentinel; spectroscopy; tree; South Africa
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/156531
作者单位	Department of Plant and Soil Science, University of Pretoria, Pretoria, South Africa; Council for Scientific and Industrial Research, Pretoria, South Africa
推荐引用方式 GB/T 7714	Gama M.J.,Cho M.A.,Chirwa P.,et al. Estimating mineral content of indigenous browse species using laboratory spectroscopy and sentinel-2 imagery[J],2019,75.
APA	Gama M.J.,Cho M.A.,Chirwa P.,&Masemola C..(2019).Estimating mineral content of indigenous browse species using laboratory spectroscopy and sentinel-2 imagery.International Journal of Applied Earth Observation and Geoinformation,75.
MLA	Gama M.J.,et al."Estimating mineral content of indigenous browse species using laboratory spectroscopy and sentinel-2 imagery".International Journal of Applied Earth Observation and Geoinformation 75(2019).