Estimation of Total Suspended Sediment Solid in Porong River Waters Using Multitemporal Satellite Imagery

Abstract

Monitoring the concentration of Total Suspended Solid (TSS) is one method to determine water quality, because a high TSS value indicates a high level of pollution. Remote sensing data can be used effectively in generating suspended sediment concentrations. Nowdays, Google Earth Engine platform has provided a large collection of remote sensing data. Therefore, this study uses Google Earth Engine which is processed for free and aims to calculate the TSS value in the Kali Porong area. This research was conducted multitemporal in the last ten years, namely from 2013-2021 using multitemporal satellite imagery landsat-8 and sentinel-2 by applying empirical algorithms for calculating TSS. The results of this study are the value of TSS concentration at each sample point and a multitemporal TSS concentration distribution map. The year 2016, 2017, and 2021, the distribution of TSS concentration values was higher than in other years. At the sample point, the lowest TSS concentration value was 16.55 mg/L in 2013. Meanwhile, the highest TSS concentration value of 266.33 mg/L occurred in 2014 precisely in the Porong River estuary area which is the border area between land and water. the sea so that a lot of TSS material is concentrated in the area due to waves and ocean currents.

LUSI sediment characteristics and its distribution pathway in the porong river

“…The research was carried out in the Porong River, a flood channel near the Madura Strait. The river, with a length of 46 km and a width of 100-150 m, is located south of Surabaya [19], [20]. The Porong River is also a branch of the Brantas River, which is used as a means of flood control in the Brantas River Basin (DAS).…”

Sebaran Material Padatan Tersuspensi Berdasarkan Data Citra Sentinel-2 di Perairan Tanjung Jati, Jepara

“…Dari Tabel 2 terlihat perbedaan hasil konsentrasi nilai MPT, hal ini dikarenakan perbedaan wilayah studi yang digunakan. Menurut (Kurniadin & Maria, 2020;Hadi et al, 2021) umumnya model empiris yang dibangun dari satu penelitian di daerah lain dapat berbeda untuk menganalisis objek yang sama. Disamping itu kondisi air yang dinamis dan karakteristik perairan juga bisa secara signifikan mempengaruhi hasil konsentrasi MPT (Indeswari et al, 2018).…”

“…Hasil algoritma referensi yang didapat memiliki nilai RMSE yang tidak sesuai dengan data lapangan dikarenakan perbedaan kondisi perairan (Indeswari et al, 2018;Kurniadin & Maria, 2020;Hadi et al, 2021). Penelitian algoritma Budhiman, Parwati, dan Lemigas dilakukan di perairan Kalimantan Timur yang sangat dipengaruhi oleh karakteristik muara sungai dengan debit yang besar Gambar 3.…”

Synergistic Use of Earth Observation Driven Techniques to Support the Implementation of Water Framework Directive in Europe: A Review

“…Specifically, around 20% of the studies leverage the unprecedented opportunities offered by GEE [95] to greatly simplify the EO data analysis and generate water related spatial explicit indicators. The applications vary at different scales and considering multiple parameters such as Chl-a [94], turbidity [7], TSS [7,60] and surface water extent [55]. Furthermore, the multiple APIs (Application Programming Interfaces) that are supported by GEE enable the researchers to deploy specific algorithms, making GEE even more popular [96].…”

“…The effectiveness of Sentinel-2 and Landsat-8 sensors for assessing Chl-a, Secchi disk depth and turbidity was examined byPizani et al (2020) [51] by developing multiple regression models with adequate predictive performance. Ghuvita et al (2021)[60] calculated the concentration of suspended sediment in a river case study by using Landast-8 and Sentinel-2 satellite imagery. Hafeez et al (2022)[61] analyzed if the consistency between the Landsat-8 and Sentinel-2 products were evaluated through an extensive evaluation of spectral consistency with case studies in estuary, coast, and lake for algae monitoring.…”