Identifying Distribution of Chlorophyll-a Concentration Using Landsat 8 OLI on Marine Waters Area of Cirebon

5th Geoinformation Science Symposium 2017

地球科学;计算机科学

Buditama, Gilang^1 ; Damayanti, Astrid^2 ; Giok Pin, Tjiong^2

Bachelor Program of Geography, Universitas Indonesia, Depok, Indonesia^1

Department of Geography, Faculty of Mathematic and Natural Science, Universitas Indonesia, Depok, Indonesia^2

关键词: Chlorophyll a;    Chlorophyll-a concentration;    Cirebon;    LANDSAT;    Phytoplankton species;    Remote sensing imagery;    Spatial and temporal distribution;    Total suspended solids;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/98/1/012040/pdf
DOI  :  10.1088/1755-1315/98/1/012040

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Phytoplankton is a microscopic plant that has a function to produces oxygen and organic substances. It also plays a role as a main producer in the food chain of a marine ecosystem. Chlorophyll-a is a colour pigment most common in phytoplankton species, so that the concentration level of chlorophyll-a can be used as an indicator of the abundance of phytoplankton cells, and as a reference for predicting organic potency in the aquatic area. This research discusses about the spatial and temporal distribution of chlorophyll-a and its correlation with salinity and total suspended solid (TSS), in the seawaters of Cirebon, West Java. The goal of this research is to be a source of information for fishermen, and other stakeholders whose related subjects in the field of marine and fisheries to predict fertile water regions and can also be used as an indicator in discovering potential areas to catch pelagic fish in Cirebon seawaters. Chlorophyll-a concentration, salinity, and TSS are identified using remote sensing data such as Landsat-8 OLI multi temporal images according to dry and wet month parameters in the 2014-2015. The results of the processed image are then validated between in-situ measurements in the field and remote sensing imagery at the same time. This research utilizes descriptive analysis, and statistics with spatial approach. The results of the research show that temporally, chlorophyll-a levels have a tendency to be higher in wet months compared to dry months, while chlorophyll-a is higher in areas near the coastline compared to open sea areas. The distribution of chlorophyll-a concentration is affected by salinity and TSS distribution, where salinity has the negative relationship and TSS has the positive relationship with chlorophyll-a distribution.