Spatio-temporal Analysis of Total Suspended Solids Concentration in Porong River Estuary using Sentinel-2 Satellite Imageries

Abstract The Sidoarjo Mudflow has been channelled into Porong River since its firstly occurred in 2006. The mud endangers the river not only physically due to sedimentation, but also biologically due to mud contamination. Therefore, monitoring of water quality both spatial- and temporally is important to ensure the life below water in the river. The main water indicator for mud is total suspended solid (TSS) which was further used in this study. The TSS concentration was modelled using a simple linear regression and estimated by utilizing Sentinel-2 imageries with limited amount of in-situ water samples. The model was then compared to existing related models quantitatively by means of root mean squared error (RMSE) and normalized mean absolute error (NMAE). The results showed that the stepwise evaluation extracts vegetation red edge band (band 8A) of Sentinel 2 with central wavelength of 865 nm as the best regressor. After the implementation, the model outperforms the existing models with RMSE of 10.893 mg/L.

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Publication Details

Journal
IOP Conference Series Earth and Environmental Science
Published
2024-12-01
DOI
https://doi.org/10.1088/1755-1315/1418/1/012070
Primary Topic
Remote Sensing and Land Use
Type
article
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article

Spatio-temporal Analysis of Total Suspended Solids Concentration in Porong River Estuary using Sentinel-2 Satellite Imageries

Lino Garda Denaro, Dewinta Heriza, Mạnh Van Nguyen, Muhammad Aldila Syariz et al.
IOP Conference Series Earth and Environmental Science
Remote Sensing and Land Use
article

Spatio-temporal Analysis of Total Suspended Solids Concentration in Porong River Estuary using Sentinel-2 Satellite Imageries

Lino Garda Denaro, Dewinta Heriza, Mạnh Van Nguyen, Muhammad Aldila Syariz, Muhammad Bagus Kirmandi, Lailatul Qomariyah
article en

Abstract

Abstract The Sidoarjo Mudflow has been channelled into Porong River since its firstly occurred in 2006. The mud endangers the river not only physically due to sedimentation, but also biologically due to mud contamination. Therefore, monitoring of water quality both spatial- and temporally is important to ensure the life below water in the river. The main water indicator for mud is total suspended solid (TSS) which was further used in this study. The TSS concentration was modelled using a simple linear regression and estimated by utilizing Sentinel-2 imageries with limited amount of in-situ water samples. The model was then compared to existing related models quantitatively by means of root mean squared error (RMSE) and normalized mean absolute error (NMAE). The results showed that the stepwise evaluation extracts vegetation red edge band (band 8A) of Sentinel 2 with central wavelength of 865 nm as the best regressor. After the implementation, the model outperforms the existing models with RMSE of 10.893 mg/L.

IOP Conference Series Earth and Environmental ScienceVol. 1418(1)
Hanoi National University of Education (VN), Sepuluh Nopember Institute of Technology (ID), National Research and Innovation Agency (ID), National Cheng Kung University (TW)
Openalex Percentile: Top 55%
Remote Sensing and Land Use
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Spatio-temporal Analysis of Total Suspended Solids Concentration in Porong River Estuary using Sentinel-2 Satellite Imageries — Lino Garda Denaro, Dewinta Heriza, et al. · IOP Conference Series Earth and Environmental Science (2024) | TGRS Research Map | TGRS