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29 January 2024 Determining spatio-temporal distribution dynamics of chlorophyll-a in Banyuasin sea waters using remote sensing data
Andi Agussalim, Sigit Heru Murti, Langgeng Wahyu Santosa
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Proceedings Volume 12977, Eighth Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet; 129770U (2024) https://doi.org/10.1117/12.3009669
Event: 8th Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet, 2023, Yogyakarta, Indonesia
Abstract
The sea waters of Banyuasin have several estuaries. These conditions will affect the biophysics of the waters, especially chlorophyll-a as an indicator of water fertility and fishing ground habitat. This study aims to map the dynamics of the distribution of chlorophyll-a concentrations based on different seasons in the coastal water of Banyuasin Regency. The method used is the analysis of Landsat 8 OLI imagery. The images used consist of images recorded on September 19, 2019, December 30, 2019, April 20, 2020, and July 20, 2020. The images represent the transitional season II, western season, transitional season I, and eastern season, respectively. The results showed that the concentration of chlorophyll in the transitional season II was 0.502 mg/m3–2.514 mg/m3, the western season was 1.627 mg/m3–3.934 mg/m3, the transitional season I was 0.854 mg/m3–2.782 mg/m3, and the concentration of chlorophyll-a in the east monsoon was 0.801 mg/m3–2.904 mg/m3. The dynamics of Chlorophyll-a concentration in the study area varied according to the season, and its distribution pattern was seen to be higher in coastal areas, while its concentration decreased towards the sea.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Andi Agussalim, Sigit Heru Murti, and Langgeng Wahyu Santosa "Determining spatio-temporal distribution dynamics of chlorophyll-a in Banyuasin sea waters using remote sensing data", Proc. SPIE 12977, Eighth Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet, 129770U (29 January 2024); https://doi.org/10.1117/12.3009669
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KEYWORDS
Water
Oceanography
Rain
Landsat
Chlorophyll
Remote sensing
Ecosystems
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