Evaluation of MLSR and PLSR for estimating soil element contents using visible/near-infrared spectroscopy in apple orchards on the Jiaodong peninsula

CORC > 烟台海岸带研究所 > 中国科学院烟台海岸带研究所 > 中科院海岸带环境过程与生态修复重点实验室 > 海岸带信息集成与综合管理实验室

	Evaluation of MLSR and PLSR for estimating soil element contents using visible/near-infrared spectroscopy in apple orchards on the Jiaodong peninsula
	Yu, X ; Liu, Q ; Wang, YB ; Liu, XY ; Liu, X
刊名	CATENA
	2016-02-01
卷号	137 页码:340-349
关键词	Multiple linear stepwise regression Partial least square regression Estimation Soil element contents Visible/near-infrared spectroscopy
ISSN号	0341-8162
通讯作者	Yu, X (reprint author), Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China. yuxiangyt@126.com ; xliu@yic.ac.cn
产权排序	[Yu, Xiang; Wang, Yebao; Liu, Xiangyang; Liu, Xin] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264000, Peoples R China; [Yu, Xiang; Wang, Yebao; Liu, Xiangyang] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Liu, Qing] Qingdao Agr Univ, Coll Resources & Environm, Qingdao 266109, Peoples R China
英文摘要	Conventional methods for soil element content determination based on laboratory analyses are costly and time-consuming. A soil reflectance spectrum is an alternative approach for soil element content estimation with the advantage of being rapid, non-destructive, and cost effective. Visible/near-infrared spectra (350 nm to 2500 nm) were measured from 105 soil samples originating from 30 apple orchards on the jiaodong peninsula. The Savitzky-Golay (FD-SG) technique for spectral data was implemented to reduce the signal noise. Logarithm of the reciprocal of reflectance (logR(-1)) and the first derivative transformation (DR) were used to accentuate the features and to prepare the data for use in quantitative estimation models. The SI (sum index), DI (difference index), PI (product index), RI (ratio index), and NDI (normalized difference index) were calculated to extract sensitive waveband combinations that are significantly related to soil element contents. Soil element contents were retrieved based on sensitive waveband combinations by multiple linear stepwise regression (MLSR) and partial least square (PLSR) models. The results showed that DR performed better than logR-1 in eliminating the interfering factors of soil particle size and spectral noise. The MLSR and PLSR calibration models based on PI performed better than those based on SI or DI did. The MLSR performed better than PLSR in estimating soil elemental content. The contents of total nitrogen (TN), arsenic (As), and mercury (Hg) could be estimated well using MLSR and PLSR calibration models developed with PI. The MLSR calibration-model developed with PI performed well in estimating available potassium (A-K) content. However, the contents of available phosphorus (A-P), ammonium nitrogen (NH4+-N), nitric nitrogen (NO3--N), and soil organic matter (SOM) could not be estimated using MLSR or PISR calibration models. These outcomes will provide the theoretical basis and technical support for estimations of soil element content using visible/near-infrared spectra. Although they were shown to be useful in apple orchards of the jiaodong peninsula, these models and methods should be further tested in soil samples from other regions and countries to prove their validity. (C) 2015 Elsevier B.V. All rights reserved.
研究领域[WOS]	Geology ; Agriculture ; Water Resources
关键词[WOS]	REFLECTANCE SPECTROSCOPY ; ORGANIC-CARBON ; PREDICTION ; MOISTURE ; MATTER ; QUANTIFICATION ; MACRONUTRIENTS ; VARIABILITY ; REGRESSION ; SPECTRA
收录类别	SCI
语种	英语
WOS记录号	WOS:000367635800034
内容类型	期刊论文
源URL	[http://ir.yic.ac.cn/handle/133337/9300]
专题	烟台海岸带研究所_海岸带信息集成与综合管理实验室烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室
作者单位	1.Chinese Acad Sci, Yantai Inst Coastal Zone Res 2.Univ Chinese Acad Sci 3.Qingdao Agr Univ, Coll Resources & Environm
推荐引用方式 GB/T 7714	Yu, X,Liu, Q,Wang, YB,et al. Evaluation of MLSR and PLSR for estimating soil element contents using visible/near-infrared spectroscopy in apple orchards on the Jiaodong peninsula[J]. CATENA,2016,137:340-349.
APA	Yu, X,Liu, Q,Wang, YB,Liu, XY,&Liu, X.(2016).Evaluation of MLSR and PLSR for estimating soil element contents using visible/near-infrared spectroscopy in apple orchards on the Jiaodong peninsula.CATENA,137,340-349.
MLA	Yu, X,et al."Evaluation of MLSR and PLSR for estimating soil element contents using visible/near-infrared spectroscopy in apple orchards on the Jiaodong peninsula".CATENA 137(2016):340-349.