Transferability of Hyperspectral Model for Estimating Soil Organic Matter Concerned with Soil Moisture
文献类型：期刊论文
| 作者 | Jiang Qing-hu1; He Jian-hua2,4; Liu Yao-lin2,4; Qi Kun3,4; Chen Yi-yun2,4 |
| 刊名 | SPECTROSCOPY AND SPECTRAL ANALYSIS
 |
| 出版日期 | 2015-06-01 |
| 卷号 | 35期号:6页码:1705-1708 |
| ISSN号 | 1000-0593 |
| 关键词 | Soil organic matter Hyperspectra Direct Standardization Calibration transfer Soil moisture |
| DOI | 10.3964/j.issn.1000-0593(2015)06-1705-04 |
| 英文摘要 | Hyperspectral remote sensing, known as the state-of-the-art technology in the field of remote sensing, can be used to retrieve physical and chemical properties of surface objects based on the interactions between electromagnetic waves and the objects. Soil organic matter (SOM) is one of the most important parameters used in the assessment of soil fertility. Quick estimation of SOM with hyperspectral remote sensing technique can provide essential soil data to support the development of precision agriculture. The presence of external parameters, however, may affect the modeling precision, and further handicap the transferability of existing model. With the aim to study the effects of soil moisture on the Vis/NIR estimation of soil organic matter, and the capacity of direct standardization(DS)algorithm in the calibration transfer, 95 soil samples collected in the Jianghan plain were rewetted and air-dried. Reflectance of these samplesat 13 moisture levels was measured. Results show that the model calibrated using air-dried samples has the highest prediction accuracy. This model, however, was not suitable for SOM prediction of the rewetted samples. Prediction bias and RPD improved from -8.34 similar to 3.32 g.kg(-1) and 0.64 similar to 2.04 to 0 and 7.01, when DS algorithm was applied to the spectra of the rewetted samples. DS algorithm has been proven to be effective in removing the effects of soil moisture on the Vis/NIR estimation of SOM, ensuring a transferrable model for SOM prediction with soil samples at different moisture levels. |
| WOS研究方向 | Spectroscopy |
| 语种 | 英语 |
| 出版者 | OFFICE SPECTROSCOPY & SPECTRAL ANALYSIS |
| WOS记录号 | WOS:000355883400048 |
| 源URL | [http://202.127.146.157/handle/2RYDP1HH/255]  |
| 专题 | 中国科学院武汉植物园 |
| 通讯作者 | Jiang Qing-hu |
| 作者单位 | 1.Chinese Acad Sci, Wuhan Bot Garden, Key Lab Aquat Bot & Watershed Ecol, Wuhan 430074, Peoples R China 2.Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, Wuhan 430079, Peoples R China 3.Peking Univ, Coll Engn, Beijing 100871, Peoples R China 4.Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jiang Qing-hu,He Jian-hua,Liu Yao-lin,et al. Transferability of Hyperspectral Model for Estimating Soil Organic Matter Concerned with Soil Moisture[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2015,35(6):1705-1708. |
| APA | Jiang Qing-hu,He Jian-hua,Liu Yao-lin,Qi Kun,&Chen Yi-yun.(2015).Transferability of Hyperspectral Model for Estimating Soil Organic Matter Concerned with Soil Moisture.SPECTROSCOPY AND SPECTRAL ANALYSIS,35(6),1705-1708. |
| MLA | Jiang Qing-hu,et al."Transferability of Hyperspectral Model for Estimating Soil Organic Matter Concerned with Soil Moisture".SPECTROSCOPY AND SPECTRAL ANALYSIS 35.6(2015):1705-1708. |
入库方式： OAI收割
来源：武汉植物园
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