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All Journal Civil and Environmental Science Journal (CIVENSE)
Ball, James E.
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Engineering Environmental Science

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Evaluation of Landsat 8 imagery capability to estimate chlorophyll-a concentrations using spatially and temporally different data Wijaya, Devy Risky Panji; Haribowo, Riyanto; Ball, James E.
Civil and Environmental Science Journal (CIVENSE) Vol. 6 No. 1 (2023)
Publisher : Fakultas Teknik Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.civense.2023.00601.3

Abstract

Water quality has been one of the major issues in water resources. A water quality monitoring program should be performed regularly. However, this program requires numerous resources and efforts, especially using a direct measurement method. An alternative should be carried out to minimise the issues. Landsat 8 (L8) can be the alternative. Water clarity is one of the essential water parameters affecting sunlight’s ability to penetrate water and engage photosynthesis. Algae is vital in photosynthesis and usually indicated as chlorophyll-a (chl-a). Several studies present that L8 is adequate to estimate chl-a concentrations as it provides high-accuracy results. This paper will generate a new model using data from different places and compare it with other chl-a models from previous studies by their capabilities to estimate chl-a concentrations. The results indicate that the generated model cannot provide consistent and precise estimations in different places and times, although it has a “good” R2 value at 0.7245 from the regression analysis for model generation. The same results arise from other models that cannot reasonably estimate chl-a concentrations.
An Alternative Model to Estimate Total Suspended Solids Concentrations using Landsat 8 Imagery in Indonesia Wijaya, Devy Risky Panji; Haribowo, Riyanto; Ball, James E.
Civil and Environmental Science Journal (CIVENSE) Vol. 6 No. 2 (2023)
Publisher : Fakultas Teknik Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/civense.v6i2.404

Abstract

A regular monitoring program of water quality is generally performed using a direct measurement method, which requires substantial efforts and resources. These issues can be minimised using several options, one of which is Landsat 8 (L8). This imagery has been broadly used to measure several water quality parameters, especially Total Suspended Solids (TSS) concentrations, even in Indonesia. This paper will compare several models from previous studies and a modified model generated using data from various sites. The comparison is based on their competencies to estimate TSS concentrations. The competencies are determined by the coefficient of correlation (r), correlation of determination (R2), and residual standard error (RSE) parameters as these three parameters are strongly correlated, generally applied, and provide distinctive determinations. The best model should have the highest r and R2 values, while the RSE value should be the lowest. The results imply that TSS model 4 generated in this study provides comparable results with TSS model 1, which has been generally used in Indonesia and provided favourable results. Thus, it can be an alternative model to estimate TSS concentrations in Indonesia.
Co-Authors Riyanto Haribowo Wijaya, Devy Risky Panji