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	Prediction of soil organic carbon stock by laboratory spectral data and airborne hyperspectral images
	Guo, Long; Zhang, Haitao; Shi, Tiezhu; Chen, Yiyun; Jiang, Qinghu; Linderman, M.
刊名	GEODERMA
	2019
卷号	337
关键词	Airborne hyperspectral imaging Spatial characteristics Spectral resolution Partial least squares regression External parameter orthogonalization
ISSN号	0016-7061
DOI	10.1016/j.geoderma.2018.09.003
URL标识	查看原文
收录类别	EI ; SCIE
语种	英语
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4217488
专题	武汉大学
推荐引用方式 GB/T 7714	Guo, Long,Zhang, Haitao,Shi, Tiezhu,et al. Prediction of soil organic carbon stock by laboratory spectral data and airborne hyperspectral images[J]. GEODERMA,2019,337.
APA	Guo, Long,Zhang, Haitao,Shi, Tiezhu,Chen, Yiyun,Jiang, Qinghu,&Linderman, M..(2019).Prediction of soil organic carbon stock by laboratory spectral data and airborne hyperspectral images.GEODERMA,337.
MLA	Guo, Long,et al."Prediction of soil organic carbon stock by laboratory spectral data and airborne hyperspectral images".GEODERMA 337(2019).

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