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
Abstract :
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
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
