Open AccessAssessment of atmospheric correction results by iCOR for MSI and OLI data on TSS concentration
Author(s) -
Nurgiantoro,
Muliddin,
Nia Kurniadin,
Ansor Putra,
Muhamad Azharuddin,
Jul Hasan,
_ Hardianto,
M I Y Langumadi
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/389/1/012001
Subject(s) - atmospheric correction , remote sensing , satellite , environmental science , multispectral image , on board , atmosphere (unit) , reflectivity , bay , meteorology , geology , geography , physics , optics , oceanography , astronomy
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 ( R rs (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 R rs (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 R rs (λ), all of them showed mean relative error ( MRE ) < 30% and were considered capable of defining TSS concentrations in the study area.