Remote chlorophyll- a retrieval in turbid, productive estuaries: Chesapeake Bay case study

Abstract

Accurate remote assessment of phytoplankton chlorophyll a (chl a) concentration is particularly challenging in turbid, productive waters. Recently a conceptual model containing reflectance in three spectral bands in the red and near infra-red range of the spectrum was suggested for retrieving chl a concentrations in turbid productive waters; it was calibrated and validated in lakes and reservoirs in Nebraska and Iowa. The objective of this paper is to evaluate the performance of this three band model as well as its special case, the two-band model to estimate chl a concentration in Chesapeake Bay, as representative of estuarine Case II waters, and to assess the accuracy of chl a retrieval. To evaluate the model performance, dual spectroradiometers were used to measure subsurface spectral radiance reflectance in the visible and near infra-red range of the spectrum. Water samples were collected concurrently and contained widely variable chl a (9 to 77.4 mg/m 3) and total suspended solids (7–65 mg/L dry wt). Colored dissolved organic matter (CDOM) absorption at 440 nm was 0.20 to 2.50 m − 1 ; Secchi disk transparency ranged from 0.28 to 1.5 m. The two- and three-band models were spectrally tuned to select the spectral bands for most accurate chl a estimation. Strong linear relationships were established between analytically measured chl a and both the three-band model [ R − 1 (675)– R − 1 (695)] × R(730) and the two-band model R(720)/ R(670), where R( λ) is reflectance at wavelength λ. The three-band model accounted for 81% of variation in chl a and allowed estimation of chl a with a root mean square error (RMSE) of less than 7.9 mg/m 3, whereas the two-band model accounted for 79% of chl a variability and RMSE of chl a estimation was below 8.4 mg/m 3. The three-band model with MERIS spectral bands allows accurate chl a estimation with RMSE below 9.1 mg/m 3. Two-band model with SeaWiFS bands and MODIS 667 nm and 748 nm bands can estimate chl a with RMSE below 11 mg/m 3. The findings underlined the rationale behind the conceptual model and demonstrated the robustness of this algorithm for chl a retrieval in turbid, productive estuarine waters.