Analysis and Mapping of Chemical Oxygen Demand Value in Pasuruan Coastal Coast with Landsat 8 Satellite Image Data


Authors : Hendrata Wibisana; Primasari Cahya Wardhani; A.R.Yelvia S

Volume/Issue : Volume 7 - 2022, Issue 9 - September

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3CDlcnK

DOI : https://doi.org/10.5281/zenodo.7204643

Pasuruan coast is a fairly dynamic area. The life of the fishermen in the area is also relatively prosperous. Along with the large number of people who inhabit the coast, the previously stagnant ecosystem will change due to the activities of the local community. This study explores the role of Chemical Oxygen Demand on seawater quality standards that are directly related to the lives of fishermen. The technology used to monitor the distribution of COD values is remote sensing using Landsat 8 satellite imagery. The method developed is to formulate the most suitable mathematical model to describe the distribution of COD values in the coastal area with scatter diagrams and trend analysis, which will determine the R2 value of each observation. The results of this study indicate that the green wavelength (channel 3) from Landsat 8 satellite imagery has the most optimal correlation compared to other wavelengths. In addition, from the wavelength, a logarithmic model has an optimal value that can describe the distribution of COD on the Pasuruan coast. In conclusion, the ecosystem on the Pasuruan coast is still within reasonable limits and has not been contaminated with pollutants, as indicated by the COD value significantly. Furthermore, Landsat 8 satellite imagery can be used as an alternative to mapping the parameters affecting global coastal ecosystem changes.

Keywords : Chemical oxygen demand (COD); Remote sensing; Landsat 8, Pasuruan Coast

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