太阳成8722(中国)有限公司-GREEN NO.1

标题：Transferability of Hyperspectral Model for Estimating Soil Organic Matter Concerned with Soil Moisture作者：Chen Yi-yun; Qi Kun; Liu Yao-lin; He Jian-hua; Jiang Qing-hu

来源出版物：SPECTROSCOPY AND SPECTRAL ANALYSIS 卷：35 期：6 页：1705-1708 DOI：10.3964/j.issn.1000-0593(2015)06-1705-04 出版年：JUN 2015

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.

入藏号：WOS:000355883400048

文献类型：Article

语种：Chinese

作者关键词：Soil organic matter, Hyperspectra, Direct Standardization, Calibration transfer, Soil moisture

扩展关键词：SPECTROSCOPY; PREDICTION; CARBON

通讯作者地址：Jiang Qing-hu; Chinese Acad Sci, Wuhan Bot Garden, Key Lab Aquat Bot & Watershed Ecol, Wuhan 430074, Peoples R China.

电子邮件地址：chenyy@whu.edu.cn; jiang8687@whu.edu.cn

地址：[Chen Yi-yun; Qi Kun; Liu Yao-lin; He Jian-hua] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Chen Yi-yun; Liu Yao-lin; He Jian-hua] Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, Wuhan 430079, Peoples R China.

[Jiang Qing-hu] Chinese Acad Sci, Wuhan Bot Garden, Key Lab Aquat Bot & Watershed Ecol, Wuhan 430074, Peoples R China.

[Qi Kun] Peking Univ, Coll Engn, Beijing 100871, Peoples R China.

研究方向：Spectroscopy

ISSN：1000-0593