Paper
23 April 2010 Validation of the three-band chlorophyll-a inversion model in turbid water: the case of Taihu Lake, China
Yuchun Wei, Guoxiang Wang, Jiazhu Huang
Author Affiliations +
Abstract
In this paper, the routine monitoring water sampling data of Taihu Lake from June to September in 2004 was used to validate the three-band chlorophyll-a remote sensing inversion model(TBCM) proposed by Gitelson in 2008. The chlorophyll-a concentration (Chla) in the lake changed from 5 to 374μg/L and the average is 49μg/L. The spectrum above water surface was measured by ASD FieldPro. The result shows, (1) TBCM in other lakes cannot be used directly in the Taihu Lake; (2) TBCM of Taihu Lake built by single month data has lower error, its RMSE changed between 8.0μg/L and 17.6μg/L; The model of all data in four months has higher error, and RMSE is 26.8μg/L; (3) When data collected in August and September was used to validate the model built by data in June and July, RMSE increased from 17.2μg/L of modeling data to 50.7μg/L of validation data; (4)Samples with higher or lower Chla have higher error. When samples in alga bloom (Chla>120μg/L usually) and samples with lower Chla (<30μg/L) were not used, RMSE of model built by June and July data decrease to 6.3μg/L, and RMSE of estimated Chla in August and September will be 28.9μg/L. This paper points out that TBCM can be used to build Chla inverse model with higher precise in Taihu Lake, but model parameters must be refined according to the water area and the season before it is used in practical water quality monitoring work.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuchun Wei, Guoxiang Wang, and Jiazhu Huang "Validation of the three-band chlorophyll-a inversion model in turbid water: the case of Taihu Lake, China", Proc. SPIE 7678, Ocean Sensing and Monitoring II, 767809 (23 April 2010); https://doi.org/10.1117/12.849818
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KEYWORDS
Data modeling

Statistical modeling

Reflectivity

Error analysis

Remote sensing

Statistical analysis

Diagnostics

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