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

Abstract


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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References


Aiken, J., Moore, G. F., Trees, C. C., Hooker, S. B., and Clark, D. K. (1995). The SeaWiFS CZCS-type pigment

algorithm, in SeaWiFS. Technical Report Series. vol. 29, edited by S.B. Hooker and E.R. Firestone, Goddard Space Flight Center, Greenbelt, MD.

Buranapratheprat, A., Niemann, K. O., Matsumura, S., and Yanagi, T. (2009). MERIS imageries to investigate

surface chlorophyll in the upper Gulf of Thailand. Coastal Marine Science, 33(1), 22-28.

Buranapratheprat, A., Yanagi, T. and Sawangwong, P. (2002). Seasonal variations in circulation and salinity

distributions in the Upper Gulf of Thailand: Modeling approach. La mer, 40, 147-155.

Chauhan, P., Mohan, M., Nayak, S. R., and Navalgund, R. R. (2002). Comparison of Ocean Color Chlorophyll

Algorithms for IRS-P40CM Sensor Using in-situ Data. Journal of the Indian Society of Remote Sensing, (30), l&2.

Chumnantana, R. (2006). Causative phytoplankton of red tide phenomena in the Upper Gulf of Thailand.

Department of Marine and Coastal Resources. Ministry of Natural Resources and environment. Technical Paper no. 1/2006 (in Thai).

Deesuk, A., Punnarak, P., and Piumsomboon, A. (2017). Seasonal variation of phytoplankton communities at

Sichang Island, Chonburi Province. In The national and international graduate research conference

March 10, 2017 at Pote Sarasin Building, Khon Kaen University (in Thai).

Ha, N. T. T., Koike, K., and Nhuan, M. T. (2014). Improved accuracy of chlorophyll-a concentration estimates

from MODIS imagery using a two-band ratio algorithm and geostatistics: As applied to the monitoring of eutrophication processes over Tien Yen Bay (Northern Vietnam). Remote Sensing, 6, 421-442.

Horning, N., Robinson, J. A., Sterling, E. J., Turner, W., and Spector, S. (2010). Remote sensing for ecology

and conservation: a handbook of techniques. New York: Oxford University Press Inc.,

Intacharoen, P. (2017). Geoinformatics applications to marine water quality and red tide phenomenon

assessment in the Upper Gulf of Thailand. Doctoral dissertation in Geoinformatics. Suranaree University of Technology, Thailand.

Institute of Marine Science. (2006). Marine environmental monitoring program and protection management of red tide in the coastal water of Chon Buri Province. Burapha University, Thailand (in Thai).

Lah, N. Z. Ab., Reba, M. N. M. and Siswanto, E. (2014). An improved MODIS standard chlorophyll-a algorithm

for Malacca Straits Water. In 8th International Symposium of the Digital Earth (ISDE8); IOP Conf. Series: Earth and Environmental Science 18 (2014) 012113.

Marghany, M., and Hashim, M. (2010). MODIS satellite data for modeling chlorophyll-a concentrations in

Malaysian coastal waters. International Journal of the Physical Sciences, 5(10), 7.

Matsumura, S., Siripong, A., and Lirdwitayaprasit, T. (2006). Underwater optical environment in the Upper Gulf

of Thailand. Coastal Marine Science. 30(1), 36-43.

Gilerson, A. A, Gitelson, A. A., Zhou, J., Gurlin, D., Moses, W., Ioannou, I., Ahmed, S. (2010). Algorithms for

remote estimation of chlorophyll-a in coastal and inland waters using red and near infrared bands. Opt. Express.18, 24109-24125.

Na-u-dom, T., Buranapratheprat, A., Homhual, K., and Intracharoen, P. (2013). Temporal and spatial variations of water qualities in the Upper Gulf of Thailand during two seasons in 2009. Burapha Science Journal, 18(2), 32-42 (in Thai).

O'Reilly, J. E., Mitchell, B. G., Kahru, M.,Chavez, F. P., Struton, P., Cota, G. F., Hooker, S. B., McClain, C. R.,

Carder, K. L., Muller-Karger, F., Harding, L., Phinney, D., Moore, G. F., Aiken, J., Arrigo, K. R., Letelier, R., and Culver, M. (2000). Ocean color chlorophyll-a algorithms for SeaWiFS, OC2 and OC4: version 4. SeaWiFS Postlaunch Calibration and Validation Analyses, Part 3.

Piemsomboon, A., (2009). The component variation and abundance of phytoplankton that may be cause of

harmful in coastal zone of Samut sakorn and Samut songkram province. Bankok: Marine and coastal resources research center, 176 p. (in Thai).

Shang, S. L., Dong, Q., Hu, C. M., Lin, G., Li, Y. H., and Shang, S. P. (2014). On the consistency of MODIS

chlorophyll a products in the northern South China Sea. Biogeosciences, 11, 269-280.

Sravanthi, N., Ramana, I. V., Yunus Ali, P., Ashraf, M., Ali, M. M., and Narayana, A. C. (2013). An algorithm

for estimating suspended sediment concentrations in the coastal waters of India using remotely sensed reflectance and its application to coastal environments. International Journal Environment Resources, 7(4), 841-850.


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