Prediction of soil properties using laboratory VIS-NIR spectroscopy and Hyperion imagery

doi:10.1016/j.gexplo.2013.04.003

	Prediction of soil properties using laboratory VIS-NIR spectroscopy and Hyperion imagery
	Lu, Peng ; Wang, Li 1; Niu, Zheng 1; Li, Linghao; Zhang, Wenhao
	2013
发表期刊	JOURNAL OF GEOCHEMICAL EXPLORATION
ISSN	0375-6742
卷号	132 页码:26-33
摘要	Conventional analyses of soil characteristic are expensive and time-consuming. Visible and near infrared reflectance spectroscopy (VIS-NIR) have been useful tools for quantitative analysis of numerous soil attributes. In this study, the fidelity of spatial structure of soil attributes was evaluated by geostatistical methods and elemental concentrations were mapped using Hyperion hyperspectral reflectance data (400-2500 nm). Forty-nine soil samples were used to analyze soil organic carbon (SOC), total phosphorus (TP), pH, and cation exchange capacity (CEC). The performance of three different instrumental settings (laboratory, Hyperion and simulated Hyperion spectroscopy) was assessed using either partial least squares regression (PLSR) or stepwise multiple linear regression (SMLR). Models for SOC, TP, and pH showed moderate accuracy (R-2 > 0.6, RPD > 1.5), whereas that for CEC exhibited low efficiency (R-2 < 0.5, RPD < 1.4). To further evaluate the effect of predicted models, we conducted the fidelity of spatial structure by geostatistical methods and extrapolated VIS-NIR spectral techniques. In addition, areas with low SOC and high P concentration were identified and mapped, thus facilitating the development of remediation strategies in terms of application of fertilization and environmental protection. Finally, Hyperion image offers an alternative method for modeling soil properties and has the great potential for diagnosing the nutrient deficiency, assessing the risk of soil parameters on the environment. (C) 2013 Elsevier B.V. All rights reserved.
关键词	Geostatistical methods Spatial variability Visible and near infrared reflectance spectroscopy Multi-spectral sensors Hyperspectral remote sensing
学科领域	Geochemistry & Geophysics
DOI	10.1016/j.gexplo.2013.04.003
收录类别	SCI
语种	英语
WOS关键词	DIFFUSE-REFLECTANCE SPECTROSCOPY ; ORGANIC-CARBON ; TOTAL NITROGEN ; FIELD ; PHOSPHORUS ; CHINA
WOS研究方向	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000323993700004
出版者	ELSEVIER SCIENCE BV
文献子类	Article
出版地	AMSTERDAM
资助机构	National Natural Science Foundation of China(National Natural Science Foundation of China (NSFC)) ; State Key Laboratory of Vegetation and Environmental Change
作者邮箱	Wang, Li/P-9811-2018 ; Zhang, Wen-Hao/B-5805-2009
引用统计	被引频次：75[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ibcas.ac.cn/handle/2S10CLM1/28065
专题	植被与环境变化国家重点实验室
作者单位	1.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China 2.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Lu, Peng,Wang, Li,Niu, Zheng,et al. Prediction of soil properties using laboratory VIS-NIR spectroscopy and Hyperion imagery[J]. JOURNAL OF GEOCHEMICAL EXPLORATION,2013,132:26-33.
APA	Lu, Peng,Wang, Li,Niu, Zheng,Li, Linghao,&Zhang, Wenhao.(2013).Prediction of soil properties using laboratory VIS-NIR spectroscopy and Hyperion imagery.JOURNAL OF GEOCHEMICAL EXPLORATION,132,26-33.
MLA	Lu, Peng,et al."Prediction of soil properties using laboratory VIS-NIR spectroscopy and Hyperion imagery".JOURNAL OF GEOCHEMICAL EXPLORATION 132(2013):26-33.

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