The Performance of Chlorophyll-a Distribution Estimation by Using Ratio Algorithm on Landsat-8 in Sungai Merbok Estuary / Jesse Vince Rabing ... [et al.]

Rabing, Jesse Vince and Abd.Aziz, Khairul Naim and Kamaruddin, Sharir Aizat and Roslani, Muhammad Akmal and Tajam, Jamil and Ahmad, Aziani and Nazri, Rosnani and Zainol, Zamzila Erdawati and Ramli, Rohayu and Shaari, Mohd Idrus (2022) The Performance of Chlorophyll-a Distribution Estimation by Using Ratio Algorithm on Landsat-8 in Sungai Merbok Estuary / Jesse Vince Rabing ... [et al.]. Journal of Academia, 10. pp. 81-90. ISSN 2289-6368


The presence of phytoplankton in the water is important as the primary food source of various aquatic lives as well as to determine its pollution level. Among many, the ratio algorithm is one of the approaches in remote sensing used to detect chlorophyll-a in the phytoplankton for its distribution and monitoring. However, some algorithms usages are limited to spatial, temporal, and other factors, hence the performance evaluation of algorithms developed are indeed important for robust observation and monitoring purposes. This study explores the applicability of ratio algorithms for estimation of the chl- a concentration at Sungai Merbok by assessing chl-a distribution pattern built by the algorithms and evaluating each algorithm for their errors compared to in-situ data. The distribution models generated from the algorithms were utilizing Landsat-8 satellite images with B-G and B-R bands ratio. The statistical analysis employed regression models such as p-value, r, R2, and RMSE for both algorithms' performance evaluations. Overall, the chl-a distribution along Sungai Merbok shows a safe concentration with fluctuation in a wide interval, however, both algorithms predicted much low concentration values with narrow and consistent variations. On average, Sungai Merbok recorded 9.52 mg/L chl-a concentration, while B-G and B-R algorithm predicted a lower average at 1.04 and 2.83 mg/L respectively. Although B-G and B-R algorithms both have a significant relation with strong correlation, B-G shows a higher coefficient of determination with 65% variation compared to B-R with about 60%. B-R ratio performed better with a lower RMSE value of 10.22 as compared to 11.48 for B- G. The findings of this study perhaps will be helpful to the traditional fishermen, local entrepreneurs, and relevant authorities for sustainable fisheries resources and management.


Item Type: Article
Email / ID Num.
Rabing, Jesse Vince
Abd.Aziz, Khairul Naim
Kamaruddin, Sharir Aizat
Roslani, Muhammad Akmal
Tajam, Jamil
Ahmad, Aziani
Nazri, Rosnani
Zainol, Zamzila Erdawati
Ramli, Rohayu
Shaari, Mohd Idrus
Subjects: Q Science > Q Science (General) > Study and teaching > Laboratories. General works
Q Science > QH Natural history - Biology > Life > Growth
Q Science > QH Natural history - Biology > Ecology
Q Science > QH Natural history - Biology > Ecology > Food chains (Ecology). Food webs
Q Science > QH Natural history - Biology > Ecology > Influence of special factors in the environment
Divisions: Universiti Teknologi MARA, Negeri Sembilan
Journal or Publication Title: Journal of Academia
UiTM Journal Collections: UiTM Journal > Journal of Academia (JoA)
ISSN: 2289-6368
Volume: 10
Page Range: pp. 81-90
Keywords: Chlorophyll-a, Ratio Algorithm, Landsat-8, Chlorophyll Distribution, Sungai Merbok
Date: 2022
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