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
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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. |
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