The Application of the Numerical Method to Simulating the Impact of the Observation Errors on the Parameters of the Water Quality Retrieval Model: a Case Study of Chloroplyll-a Concentration
CHEN Jun 1,2, FU Jun 1,2, SUN Ji-hong 1,2
(1.The Key Laboratory of Marine Hydrocarbon Resources and Environmental Geology, Qingdao 266071, China; 2.Qingdao Institute of Marine Geology, Qingdao 266071, China)
Abstract：Based on the experimental data collected in the Taihu Lake on October 27 and 28, 2003, the authors utilized the numerical simulation method to study the relationship between the errors of experimental data and the empirical constant of chlorophyll-a concentration retrieval model. The results indicate that, when the errors of experimental data obey normal distribution and uniform distribution respectively, the empirical constant of the retrieval model becomes divergent with the increasing error of the experimental data. In addition, according to the relationship between errors of experimental data and retrieval accuracy, 26.58% experimental errors are corresponding to 30% retrieval accuracy. This means that under the prerequisite that the errors produced during the processing of remote sensing images are not taken into account, the strict control of the errors of experimental data within 26.56% constitutes one of the key elements that break the bottleneck of the retrieval accuracy at ±30%.
陈军, 付军, 孙记红.
用数值方法模拟观测误差对水质浓度反演模型参数的影响
——以叶绿素a浓度为例[J]. 国土资源遥感, 2011, 23(1): 57-61.
CHEN Jun, FU Jun, SUN Ji-Hong. The Application of the Numerical Method to Simulating the Impact of the Observation Errors on the Parameters of the Water Quality Retrieval Model: a Case Study of Chloroplyll-a Concentration. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(1): 57-61.
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2011, Vol. 23 
