An improved three-band semi-analytical algorithm for estimating chlorophyll-a concentration in highly turbid coastal waters: a case study of the Yellow River estuary, China

作者：Chen, Jun^*; Quan, Wenting; Wen, Zhenhe; Cui, Tingwei

来源：Environmental Earth Sciences, 2013, 69(8): 2709-2719.

DOI：10.1007/s12665-012-2093-1

• Remote sensing
• Semi-analytical algorithm
• Chlorophyll-a concentration
• Yellow River estuary

An improved three-band semi-analytical algorithm was developed for improving the performance of the three- and four-band algorithms, for chlorophyll-a concentration retrievals in the highly turbid waters of the Yellow River estuary. In this special case study of the Yellow River estuary, the optimal wavelengths of the improved three-band semi-analytical algorithm must meet the following requirements: the lambda (1) and lambda (2) must be restricted to within the range 660-690 nm, and the lambda (3) must be longer than 750 nm. The algorithm calibration and validation results indicate that the improved three-band algorithm indeed produces superior performance in comparison to both the three- and four-band algorithms in retrieving chlorophyll-a concentration from the extremely coastal waters of the Yellow River estuary. Comparing the improved three-band algorithm to the original three- and four-band algorithm, the former minimizes the influence of backscattering by suspended solids in near-infrared regions, while the three-band algorithm has a much stronger error tolerance ability than the four-band algorithm. These findings imply that if an atmospheric correction scheme for visible and near-infrared bands is available, the improved three-band algorithm may be used for quantitative monitoring of chlorophyll-a concentration in turbid coastal waters with similar bio-optical properties, although some local bio-optical information or improved models may be required to reposition the optimal band positions of the algorithm.

• 出版日期2013-8
• 单位中国地质大学（北京）; 国家海洋局第一海洋研究所; 青岛海洋地质研究所