Prediction of Soil Properties in a Field in Typical Black Soil Areas Using in situ MIR Spectra and Its Comparison with vis-NIR Spectra
文献类型：期刊论文
| 作者 | Yin, Jianxin6,7; Shi, Zhan; Li, Baoguo; Sun, Fujun5; Miao, Tianyu; Shi, Zhou4; Chen, Songchao3; Yang, Meihua2; Ji, Wenjun6,7 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023-04-01 |
| 卷号 | 15期号:8页码:2053 |
| 关键词 | mid-infrared spectroscopy visible and near-infrared spectroscopy in situ proximal soil sensing black soils soil total phosphorus soil total nitrogen |
| DOI | 10.3390/rs15082053 |
| 文献子类 | Article |
| 英文摘要 | As a precious soil resource, black soils in Northeast China are currently facing severe land degradation. Visible and near-infrared spectroscopy (vis-NIR, 350-2500 nm) and mid-infrared spectroscopy (MIR, 2500-25,000 nm) have shown great potential to predict soil properties. However, there is still limited research on using MIR in situ. The aim of this study was to explore the feasibility of in situ MIR for the prediction of soil total nitrogen (TN) and total phosphorus (TP) and to compare its performance with the use of laboratory MIR, as well as the use of in situ and laboratory vis-NIR. A total of 450 samples from 90 soil profiles, along with their in situ and laboratory spectra of MIR and vis-NIR, were collected in a field with ten different tillage and management practices in a typical black soil area of Northeast China. Partial least square regression (PLSR), random forest (RF) and multivariate adaptive regression splines (MARS) were used to generate the calibrations between the spectra and the two properties. The results showed that both MIR and vis-NIR were able to predict the TN whether in laboratory or in situ conditions, but neither of them could predict the TP quantitatively since there was no sensitive band on both spectra regarding the TP. The prediction accuracy of the TN with laboratory spectra was higher than that with in situ spectra, for both vis-NIR and MIR. The optimal prediction accuracy of the TN with laboratory MIR (RMSE = 0.11 g/kg, RPD = 3.12) was higher than that of laboratory vis-NIR (RMSE = 0.14 g/kg, RPD = 2.45). The optimal prediction accuracy of in situ MIR (RMSE = 0.20 g/kg, RPD = 1.80) was lower than that of in situ vis-NIR (RMSE = 0.16 g/kg, RPD = 2.14). The prediction performance of the spectra followed laboratory MIR > laboratory vis-NIR > in situ vis-NIR > in situ MIR. The performance of in situ MIR was relatively poor, mainly due to the fact that MIR was more influenced by soil moisture. This study verified the feasibility of in situ MIR for soil property prediction and provided an approach for obtaining rapid soil information and a reference for soil research and management in black soil areas. |
| 学科主题 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS关键词 | DIFFUSE-REFLECTANCE SPECTROSCOPY ; PARTIAL LEAST-SQUARES ; ORGANIC-CARBON ; CLAY ; NITROGEN ; CHEMISTRY ; CHINA |
| 语种 | 英语 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/193503]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 作者单位 | 1.Yuzhang Normal Univ, Dept Environm Engn, Nanchang 330103, Peoples R China 2.ZJU Hangzhou Global Sci & Technol Innovat Ctr, Hangzhou 311200, Peoples R China 3.Zhejiang Univ, Inst Appl Remote Sensing & Informat Technol, Hangzhou 310058, Peoples R China 4.Shenyang Agr Univ, Coll Land & Environm, Shenyang 110866, Peoples R China 5.Minist Nat Resources, Key Lab Agr Land Qual, Beijing 100193, Peoples R China 6.State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 7.China Agr Univ, Coll Land Sci & Technol, Beijing 100193, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yin, Jianxin,Shi, Zhan,Li, Baoguo,et al. Prediction of Soil Properties in a Field in Typical Black Soil Areas Using in situ MIR Spectra and Its Comparison with vis-NIR Spectra[J]. REMOTE SENSING,2023,15(8):2053. |
| APA | Yin, Jianxin.,Shi, Zhan.,Li, Baoguo.,Sun, Fujun.,Miao, Tianyu.,...&Ji, Wenjun.(2023).Prediction of Soil Properties in a Field in Typical Black Soil Areas Using in situ MIR Spectra and Its Comparison with vis-NIR Spectra.REMOTE SENSING,15(8),2053. |
| MLA | Yin, Jianxin,et al."Prediction of Soil Properties in a Field in Typical Black Soil Areas Using in situ MIR Spectra and Its Comparison with vis-NIR Spectra".REMOTE SENSING 15.8(2023):2053. |
入库方式： OAI收割
来源：地理科学与资源研究所
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