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| DOI： |
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| Calculating Total Phosphorus in Reservoirs Using the Satellite Landsat Data |
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WANG Yunxia , YANG Guofan, LIN Maosen, YANG Shuting
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Shenyang Agriculture University, Shenyang 110866, China; College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
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| Abstract: |
| A least square support vector machine (LS-SVM) model was developed in this paper to establish the relationship between the data of OLI from landsat8 and the measured total phosphorus in Qinghe Reservoir. The total phosphorus (TP) in the reservoir was then inversely calculated based on the measured data from the LS-SVM. The results showed that the LS-SVM model increased the accuracy of estimated TP concentration with an average relative error of 6.06%, much lower than the 20.77% and 12.53%, the errors of the single band linear regression model and the band combination linear regression model, respectively. The results of The LS-SVM model also showed that the concentration of TP in Qinghe reservoir ranges from in 0.04~0.08 mg/L, higher than the normal range. |
| Key words: the total phosphorus; remote sensing; model; Qinghe reservoir |
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