Local Algorithm for the Estimation of Sea Surface Chlorophyll-A Based on MODIS Imageries in the Upper Gulf of Thailand

Prasarn Intacharoen, Anukul Buranapratheprat, Akihiko Morimoto, Pachoenchoke Jintaseranee, Wirote La-ongmanee


Because chlorophyll-a data calculated by using the universal algorithm applied on Aqua/Terra-MODIS Level 2 imageries are overestimated, this study aims to analyze and develop a local algorithm, from the universal algorithms, specific for chlorophyll-a estimation in the upper Gulf of Thailand. Chlorophyll-a estimated by using algorithms modified from the universal algorithms namely OC3M, Aiken-C, rGBr and Chula with the MODIS satellite data were examined by comparing with measured chlorophyll-a. The results showed that modified OC3M algorithm gave the highest value of the coefficient of determination (R2) (0.41), the lowest value of root mean square error (RMSE) (4.12) and moderate of mean absolute percentage error (MAPE) (86.30). When the performance of the local algorithm was compared with those of the universal and another algorithm, it was found that all algorithms provided estimated chlorophyll-a results in the same trend. However, the results of the universal algorithms were overestimated for nearly all stations, especially the stations near the main river mouths, while those of the local algorithm developed from this study provided the best performance for chlorophyll-a prediction. The developed algorithm can be applied for the better estimation of sea surface chlorophyll-a for the upper Gulf of Thailand.


Keywords :  chlorophyll-a algorithm, Aqua/Terra-MODIS level 2, Upper Gulf of Thailand


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