Prediction of soil properties using laboratory VIS-NIR spectroscopy and Hyperion imagery
文献类型：期刊论文
| 作者 | Lu, Peng; Wang, Li2; Niu, Zheng2; Li, Linghao ; Zhang, Wenhao
|
| 刊名 | JOURNAL OF GEOCHEMICAL EXPLORATION
 |
| 出版日期 | 2013 |
| 卷号 | 132页码:26-33 |
| 关键词 | Geostatistical methods Spatial variability Visible and near infrared reflectance spectroscopy Multi-spectral sensors Hyperspectral remote sensing |
| ISSN号 | 0375-6742 |
| DOI | 10.1016/j.gexplo.2013.04.003 |
| 文献子类 | Article |
| 英文摘要 | 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. |
| 学科主题 | Geochemistry & Geophysics |
| 出版地 | AMSTERDAM |
| 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) |
| 语种 | 英语 |
| WOS记录号 | WOS:000323993700004 |
| 出版者 | ELSEVIER SCIENCE BV |
| 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 |
| 源URL | [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 Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, 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. |
入库方式： OAI收割
来源：植物研究所
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