Simulating models for Phaeozem hyperspectral reflectance
文献类型：期刊论文
| 作者 | Liu, Huanjun1,3; Zhang, Xinle1; Yu, Wantai3; Zhang, Bai4; Song, Kaishan4; Blackwell, J.2 |
| 刊名 | INTERNATIONAL JOURNAL OF REMOTE SENSING
 |
| 出版日期 | 2011 |
| 卷号 | 32期号:13页码:3819-3834 |
| ISSN号 | 0143-1161 |
| DOI | 10.1080/01431161003778708 |
| 英文摘要 | It is difficult to analyse soil properties quantitatively with multispectral remote sensing data. An alternative solution is to determine the main spectral characteristic control points of soil hyperspectral reflectance curves by sensitivity analysis methods. Hyperspectral reflectance is simulated using the control points based on multispectral reflectance collected from satellites in this study. The laboratory hyperspectral reflectance and its continuum-removed curve of Phaeozem and the parent material (PM) of samples collected from Heilongjiang Province, China were analysed, and the spectral characteristic control points determined. Hyperspectral simulating linear and quadratic models based on laboratory reflectance were then built. Results show that montmorillonite and illite are the dominant minerals in Phaeozem PM. Organic matter content determines the spectral characteristics of Phaeozem and makes it suitable for reflectance simulation in the spectrum range of 1000 nm and less; the higher the organic matter content the greater the spectral absorption area. There are two absorption valleys at 500 and 660 nm, which determine the spectral characteristic control points of Phaeozem between 450 and 930 nm, namely 450, 500, 590, 660 and 930 nm. Both the linear and quadratic simulation models built with the characteristic control points accurately describe Phaeozem reflectance, which proves that the characteristic control points are selected reasonably and representatively. The hyperspectral simulation method based on multispectral reflectance closely represents the characteristics of Phaeozem hyperspectral reflectance, partly removes noise and improves the precision of predicting organic matter content. Therefore the method is feasible and useful for data compression of Phaeozem hyperspectral reflectance, soil and vegetation indices building, and quantitative remote sensing in the Phaeozem Zone, northeast China. |
| WOS研究方向 | Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000293228000015 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 源URL | [http://210.72.129.5/handle/321005/121793]  |
| 专题 | 中国科学院沈阳应用生态研究所 |
| 通讯作者 | Liu, Huanjun |
| 作者单位 | 1.NE Agr Univ, Coll Resources & Environm Sci, Harbin 150030, Peoples R China 2.Charles Sturt Univ, Wagga Wagga, NSW 2678, Australia 3.CAS, Inst Appl Ecol, Shenyang 110016, Peoples R China 4.CAS, NE Inst Geog & Agr Ecol, Changchun 130012, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Huanjun,Zhang, Xinle,Yu, Wantai,et al. Simulating models for Phaeozem hyperspectral reflectance[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2011,32(13):3819-3834. |
| APA | Liu, Huanjun,Zhang, Xinle,Yu, Wantai,Zhang, Bai,Song, Kaishan,&Blackwell, J..(2011).Simulating models for Phaeozem hyperspectral reflectance.INTERNATIONAL JOURNAL OF REMOTE SENSING,32(13),3819-3834. |
| MLA | Liu, Huanjun,et al."Simulating models for Phaeozem hyperspectral reflectance".INTERNATIONAL JOURNAL OF REMOTE SENSING 32.13(2011):3819-3834. |
入库方式： OAI收割
来源：沈阳应用生态研究所
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