The validation of water quality parameter algorithm using Landsat 8 and Sentinel-2 image in Palabuhanratu Bay

Abstract

Remote sensing and geographic information systems can be applied to extract coastal and marine parameters related to the identification of possible data types, approaches and algorithms as a quick solution in water quality assessment. The purpose of this research are to find the suitable algorithms of salinity and total suspended solid for Palabuhanratu Bay and see the performance of Sentinel-2 satellite image in implementing algorithms based on Landsat satellite image. This study applies several algorithms to extract the estimated salinity and total solid suspended values from the Landsat 8 and Sentinel-2 satellite image using Google Earth Engine. The results of the analysis show algorithms that are suitable for implementation in the waters of Palabuhanratu Bay are the Cilamaya algorithm for estimating salinity values, and the Budhiman algorithm for estimating the total suspended solid value. Sentinel-2 satellite image has a good performance for implementing algorithms that built on Landsat image. So, the algorithm that build on Landsat image can be used to detect salinity and TSS in Sentinel-2 image.

Spatial study of total suspended solid (TSS) for shrimp catching areas based on changes in watershed land cover and oceanographic factors in Ciletuh Bay 2017 – 2021

“…Sentinel 2 imagery is used for processing TSS, salinity, and watershed land cover data. TSS was processed using the Budhiman Algorithm method [18], [20]. The Budhiman Algorithm equation is:…”

“…This study processed salinity using the Cilamaya Algorithm method [19], [20]. The Cilamaya Algorithm equation is:…”