| 光谱学与光谱分析 |
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| Inversion of the Lake Total Nitrogen Concentration by Multiple Regression Kriging Model Based on Hyperspectral Data of HJ-1A |
| PAN Bang-long1,2, YI Wei-ning1, WANG Xian-hua1, QIN Hui-ping1, WANG Jia-cheng1, QIAO Yan-li1 |
1. Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
2. Environment Engineering Department, Anhui University of Architecture, Hefei 230601, China |
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Abstract The content of total nitrogen in the waters is an important index to measure lake water quality，and the technique of remote sensing plays a large role in quantitatively monitoring the dynamic change and timely grasping the status of lake pollution. Taking Chaohu as an example, quantitative inversion models of total nitrogen were established by multivariable regression Kriging under analyzing of an correlation between total nitrogen and chlorophyll-a or suspended solids by HIS hyperspectral remote sensing data of HJ-1A satellite. The result shows that the correlation of 0.76 was discovered between total nitrogen and the multiple combination with band 72, band 79 and band 97, while the correlation could be increased to 0.83 by applying combined model of multiple linear regression and ordinary Kriging. The optimization of the residuals of the conventional regression model can improve the accuracy of the inversion effectively. These results also provide useful exploration for further establishing a common model of quantitative inversion of lake total nitrogen concentration.
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Received: 2010-09-29
Accepted: 2010-12-14
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Corresponding Authors:
PAN Bang-long
E-mail: panbanglong@163.com
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