Atmospheric correction is very important process to determine of land and ocean surface properties measured from satellite data, especially optical remote sensing satellite system, because passive satellite instruments will always be contaminated by the influence of the atmosphere. The result of this processing is the surface reflectance (sr) product, and it is a necessary process when quantitatively monitoring environmental quality parameters from space. The goal of this study is to assessing of the spectral remote sensing reflectance satellite (Rrs (λ) by the image correction for atmospheric effects (iCOR) tools on total suspended solid (TSS) concentration from the MultiSpectral Instrument (MSI) sensor on-board Sentinel-2 and the Operational Land Imager (OLI) sensor on-board Landsat-8. Involvement of 25 in-situ TSS stations in Kendari bay waters is to assess the results of iCOR-S2 and iCOR-L8. An assessment of the sr results reduced to Rrs (λ) on the MSI and OLI data respectively, affected the value of R 2 where the highest value R 2 = 0.665 is shown on red band OLI data. Meanwhile, the assessment of three TSS algorithms models is built on Rrs (λ), all of them showed mean relative error (MRE) < 30% and were considered capable of defining TSS concentrations in the study area.

This study aimed to analyze the distribution of phytoplankton abundance and its relationship with water quality in Lasolo Bay waters. The study was conducted during the West Season 2020. The sample consisted of 9 stations located near the mouth of the Lasolo River (station A), coastal waters (Station B) and the center part of Lasolo Bay (Station C). Phytoplankton sampling was using plankton nets with 25 µm meshsize. Identification of phytoplankton used microscope and the abundance calculation by using Sedgwick Rafter Counting Cell. The results showed that there are 23 phytoplankton genera from 5 classes found, namely 12 genera of Bacillariophycea Class, 5 genera of Dinophyceae Class, 3 genera of Chlorophyceae Class, 2 genera of Cyanophyceae class and 1 genera of Coscinodiscophyceae class. By abundance, phytoplankton compositions of the class Bacillariophyceae predominate with a percentage of 57%. The type of phytoplankton that has the highest abundance is Nitzschia sp. of 2,407 cells/l and the lowest abundance of Amphidium sp. of 1,368 cells/l. Phytoplankton abundance at Station A is 41,093 cells/l, station B is 14,234 cells/l and station C is 14,735 cells/l. The distribution of phytoplankton abundance is also influenced by physical and chemical factors such as turbidity, TSS, Nitrate and Phosphate.