NORMALIZED FLUORESCENCE LINE HEIGHT (NFLH) VARIATION OVER MALAYSIA MARITIME (2003-2024)

Authors

DOI:

https://doi.org/10.35631/IJIREV.824036

Keywords:

GIOVANNI, Malaysia, MODIS, nFLH, Phytoplankton

Abstract

The main intention of this study is to investigate the spatial and temporal distribution of normalized Fluorescence Line Heights (nFLH) over Malaysia's maritime region from 2003 to 2024. The analysis utilized the monthly Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, nFLH product, that could be freely accessed through the National Aeronautics and Space Administration (NASA)’s Geospatial Interactive Online Visualization and Analysis Infrastructure (GIOVANNI) system. Time average map that was developed for the period of 2003 to 2024 finds high nFLH values consistently observed along the coastal regions, particularly along the west coast of the Peninsular Malaysia and coastal zone of Sarawak. This area exhibits nFLH values ranging between 1.0 ´ 10⁻¹ and 5.0 ´ 10⁻¹ W m-2 mm-1 sr-1. This finding correlates with an increment in phytoplankton activity driven by nutrient input from terrestrial runoff, particularly near the river mouth. During northeast monsoon season, an increment in the fluorescence levels, clearly seen over South China Sea and Sabah’s coastal water. The increment mostly due to the nutrient influx from monsoon rain. In contrast, low fluorescence levels were observed during the inter-monsoon and southwest periods. A decline in nFLH values over the study period suggests a decrement in phytoplankton biomass. This finding highlights the significant role of the northeast monsoon in influencing the nutrient cycle and biological productivity over Malaysia’s coastal waters.

 

Downloads

Download data is not yet available.

References

Axelrod, C. C. (2010). Encyclopedia of the World’s Coastal Landforms.

Azmi, N. F. M., Hii, K. S., Liu, M., Baharudin, S. N., Kassim, N. S., Lee, L. K., ... & Lim, P. T. (2025). Temporal bloom dynamics of the marine dinoflagellate Tripos furca in the Penang Strait. Harmful Algae, 142, 102799.

Gomaa, M. N., Mulla, D. J., Galzki, J. C., Sheikho, K. M., Alhazmi, N. M., Mohamed, H. E., ... & Carmichael, W. W. (2020). Red sea MODIS estimates of chlorophyll a and phytoplankton biomass risks to Saudi Arabian coastal desalination plants. Journal of Marine Science and Engineering, 9(1), 11.

Gower, J. F., Brown, L., & Borstad, G. A. (2004). Observation of chlorophyll fluorescence in west coast waters of Canada using the MODIS satellite sensor. Canadian Journal of Remote Sensing, 30(1), 17-25.

Hamzah, A. S., Mohammad-Noor, N., Adam, A., & Ahmad, Z. (2019). Distribution of phytoplankton in Kuantan Port, Malaysia during northeast monsoon season. Malaysian Journal of Analytical Sciences, 23(6), 1107-1119. https://climateknowledgeportal.worldbank.org/country/malaysia/climate-data-historical

Khan, Q., Wang, A., Li, P., & Hu, J. (2025). Quantum Dots Illuminating the Future of Greenhouse Agriculture. Advanced Sustainable Systems, 9(3), 2401015.

Lu, S. M., Amaducci, S., Gorjian, S., Haworth, M., Hägglund, C., Ma, T., ... & Campana, P. E. (2024). Wavelength-selective solar photovoltaic systems to enhance spectral sharing of sunlight in agrivoltaics. Joule.

Lu, Y., Li, L., Hu, C., Li, L., Zhang, M., Sun, S., & Lv, C. (2016). Sunlight induced chlorophyll fluorescence in the near‐infrared spectral region in natural waters: Interpretation of the narrow reflectance peak around 761 nm. Journal of Geophysical Research: Oceans, 121(7), 5017-5029.

Madani, N., Parazoo, N. C., Manizza, M., Chatterjee, A., Carroll, D., Menemenlis, D., ... & Miller, C. E. (2024). A machine learning approach to produce a continuous solar‐induced chlorophyll fluorescence over the Arctic Ocean. Journal of Geophysical Research: Machine Learning and Computation, 1(4), e2024JH000215.

Mohd-Din, M., Hii, K. S., Abdul-Wahab, M. F., Mohamad, S. E., Gu, H., Leaw, C. P., & Lim, P. T. (2022). Spatial-temporal variability of micro phytoplankton assemblages including harmful microalgae in a tropical semi-enclosed strait (Johor Strait, Malaysia). Marine Environmental Research, 175, 105589.

Mohd-Din, M., Hii, K. S., Kassim, N. S., Azmi, N. F. M., Baharudin, S. N., Gu, H., ... & Lim, P. T. (2025). Diversity and distribution of micro-phytoplankton and harmful microalgae along the Malaysian coasts of Malacca Strait and South China Sea. Regional Studies in Marine Science, 81, 103947.

Morel, A., & Prieur, L. (1977). Analysis of variations in ocean color 1. Limnology and oceanography, 22(4), 709-722.

Murchie, E. H., & Lawson, T. (2013). Chlorophyll fluorescence analysis: a guide to good practice and understanding some new applications. Journal of experimental botany, 64(13), 3983-3998.

Siswanto, E., & Tanaka, K. (2014). Phytoplankton biomass dynamics in the strait of Malacca within the period of the SeaWiFS full mission: Seasonal cycles, interannual variations and decadal-scale trends. Remote Sensing, 6(4), 2718-2742.

Sohaimi, E. S., Amin, R. M., Idris, M. S., Chee, P. S., & Akhir, M. F. M. (2024). Phytoplankton assemblages in response to environmental variability in tropical coastal waters of the Malacca Straits, Malaysia. Marine Ecology, 45(5), e12822.

Usup, G., Ahmad, A., Matsuoka, K., Lim, P. T., & Leaw, C. P. (2012). Biology, ecology and bloom dynamics of the toxic marine dinoflagellate Pyrodinium bahamense. Harmful Algae, 14, 301-312.

Xing, X. G., Zhao, D. Z., Liu, Y. G., Yang, J. H., Xiu, P., & Wang, L. (2007). An overview of remote sensing of chlorophyll fluorescence. Ocean Science Journal, 42, 49-59.

Zhao, M., Bai, Y., Li, H., He, X., Gong, F., & Li, T. (2022). Fluorescence line height extraction algorithm for the geostationary ocean color imager. Remote Sensing, 14(11), 2511.

Published

2026-03-31

How to Cite

Embong, M. F., Mat Amin, A. R., Muda, S. M., Muhammud, A., Abdullah, M., & Musa, B. (2026). NORMALIZED FLUORESCENCE LINE HEIGHT (NFLH) VARIATION OVER MALAYSIA MARITIME (2003-2024). INTERNATIONAL JOURNAL OF INNOVATION AND INDUSTRIAL REVOLUTION (IJIREV), 8(24), 579–588. https://doi.org/10.35631/IJIREV.824036