MERISA Chlorophyll-a Concentration Product Validation And Researching On The Inversion Algorithm Of Chlorophyll-a Concentration For The Jiaozhou Bay

Jiaozhou Bay is of very important Significance to Qingdao, whose water belongsto typical CaseⅡ water. Optical remote sensing techniques can be used to monitoringthe distribution and dynamic change of Chlorophyll-a(Chl.a) concentrations for theJiaozhou Bay.In this paper, in-situ chlorophyll-a concentration data collected in the JiaozhouBay are used to validate the MERIS chlorophyll-a concentration products. And theresults show a bias existed that correlation coefficient(R2), root mean squareerror(RMSE), median of absolute error(MAE), absolute value of average relativeerror(APD) and absolute value of median relative error(MARE)are0.570,0.97mg/m3,0.54mg/m3,83.1%and55.9%, respectively.Then basing on the in situ Chl.a concentrations and remote sensing reflectancedata obtained from Jiaozhou Bay in March, May, August, November of2011,14empirical approaches and2model-based approaches are estimated. The result showsthat the most common relationship making use of the so-called colour ratio is moresuitable for Jiaozhou Bay. Optimization have also been carried out, and it shows thatOCTS-C and OC2v4are better, which should been thought about when developingnew algorithm.Basing on the data got from37positions,6staticstical retrieval algorithms forthe Jiaozhou Bay have been developed to different sensors, as follows, HyPerspectralSensor,LANDSAT5TM,LANDSAT7ETM+,ENVISAT MERIS,SPOT5HRG1/2.Those algorithms are tested by other independent dataset, and the results shows a highcorrelation between measured Chl.a concentrations and derived value that R2arehigher than0.85, and MARE are all lower than30.1%.The developed algorithms areapplied to satellite remote sensing images, and the temporal and spatial trend shows agood compare with the history records.