Evaluasi Algoritma Total Suspended Solid (Tss) Pada Citra Landsat 8 Terhadap Data TSS  in-Situ

Kurniadin, Nia; Maria, Eny

doi:10.14710/elipsoida.2020.6754

Cited by 4 publications

(6 citation statements)

References 5 publications

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“…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).…”

Section: Hasil Dan Pembahasanunclassified

“…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.…”

Section: Validasiunclassified

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

Ajiperwata,

Indrayanti,

Rochaddi

2023

J. Kel. Trop.

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Tanjung Jati waters are located around the Tanjung Jati Coal Fired Power Plant, Jepara. Burning coal as a fuel for power plant produces fly and bottom ash, which can affect the concentration of total suspended solid (TSS). This study aims to determine the distribution of TSS based on Sentinel-2 level 2A imagery data of Tanjung Jati waters, Jepara. TSS data from field survey, TSS, and Reflectance Remote Sensing (RRS) data from the Copernicus Sentinel site on 25 October 2021 with a resolution of 10 m were used in this study. Processing data using the algorithm of Lemigas, Budhiman, Parwati, Laili, and developing a new algorithm with a regression function method to estimate TSS concentration. The distribution pattern of TSS in Tanjung Jati Waters, Jepara has a high concentration in areas near land and decreases towards the open sea. The Root Mean Square Error (RMSE) value is 2.704 mg/l, it can be concluded that the proposed algorithm is suitable for describing the distribution of TSS concentrations in Tanjung Jati waters, Jepara. Observation of the distribution of TSS can be used for further analysis to determine sedimentation patterns and water quality. Perairan Tanjung Jati merupakan perairan yang berada di sekitar area PLTU Tanjung Jati, Jepara. Batu bara sebagai bahan bakar untuk kebutuhan PLTU menghasilkan fly dan bottom ash yang dapat mempengaruhi konsentrasi material padatan tersuspensi (MPT) di perairan sekitarnya. Penelitian ini bertujuan untuk mengetahui sebaran MPT di Perairan Tanjung Jati, Jepara berdasarkan data citra Sentinel-2 Level 2A. Data yang digunakan dalam penelitian meliputi data MPT hasil pengukuran lapangan, data MPT dan Reflectance Remote Sensing (RRS) dari situs sentinel copernicus tanggal 25 Oktober 2021, dengan resolusi 10 m. Pengolahan data menggunakan algoritma Lemigas, Budhiman, Parwati, Laili, dan pengembangan algoritma baru dengan metode regresi. Hasil penelitian menunjukkan bahwa pola sebaran MPT di Perairan Tanjung Jati, Jepara memiliki konsentrasi tinggi pada daerah dekat daratan dan semakin berkurang menuju laut lepas. Nilai RMSE sebesar 2,704 mg/l, hal ini menunjukkan bahwa formula algoritma usulan yang diperoleh sesuai untuk menggambarkan sebaran konsentrasi MPT di perairan Tanjung Jati, Jepara. Hasil sebaran MPT ini dapat digunakan dalam analisa lebih lanjut untuk mengetahui pola sedimentasi dan penilaian kualitas air.

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Section: Hasil Dan Pembahasanunclassified

Section: Validasiunclassified

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

Ajiperwata,

Indrayanti,

Rochaddi

2023

J. Kel. Trop.

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“…Total suspended solids (TSS) are suspended materials with a diameter of> 1 μm that are held in Millipore paper with a pore diameter of 0.45 μm (Yanti et al 2016;Manoppo & Budhiman, 2017; Kurniadin & Jaelani, 2016) TSS consists of mud, fine sand, and micro-organisms which are mainly caused by soil erosion. Total Suspended Solid (TSS) describes the amount of suspended material or particles which usually has a bad impact on waters quality because it reduces the penetration of sunlight into the waters column (Kim et al 2017).…”

Section: Introductionmentioning

confidence: 99%

“…Total Suspended Solid (TSS) describes the amount of suspended material or particles which usually has a bad impact on waters quality because it reduces the penetration of sunlight into the waters column (Kim et al 2017). Measurement of suspended sediment in-situ is one alternative to find out environmental conditions based on environmental parameters (Kurniadin & Jaelani, 2016).…”

Section: Introductionmentioning

confidence: 99%

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Waters Quality Assessment on Physical-Chemical Parameters Using Remote Sensing Technologies: Criteria for Total Suspended Solids and Waters Transparency

Anurogo¹,

Gayatri²,

Fauzi³

et al. 2023

Proceedings of the 5th International Conference on Applied Engineering, ICAE 2022, 5 October 2022, Batam, Indonesia

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Waters territory is an area that has a large enough natural resource potential. This region has undergone many changes in function to be able to provide benefits and a large contribution in improving the community's economy, but economic activities that convert aquatic land into industrial areas, tourism, and settlements have caused a fairly severe deterioration in waters quality. Some parameters determining the quality of waters include Total Suspended Solid (TSS), and Water Transparency. The development of remote sensing is increasingly rapid making this technology more effectively used for wide coverage areas. This research aims to analyze the concentration level of TSS distribution and waters transparency by using remote sensing data. The results of data processing showed the range of suspended solids in the research area ranged from 9,706 to 16,193 mg /L, and the range of waters transparency is from 3.6536-4.8278 m. The results of the waters quality index processing data from this research based on parameters used are classified into 3 classes; high waters quality, moderate waters quality, and low waters quality. Waters quality in this research which has low waters quality and moderate waters quality is around the island, while most of the results have high waters quality.

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The validation of water quality parameter algorithm using Landsat 8 and Sentinel-2 image in Palabuhanratu Bay

Mukhtar

Supriatna

Manessa

2021

IOP Conf. Ser.: Earth Environ. Sci.

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Remote sensing and geographic information systems can be applied to extract coastal and marine parameters related to the identification of possible data types, approaches and algorithms as a quick solution in water quality assessment. The purpose of this research are to find the suitable algorithms of salinity and total suspended solid for Palabuhanratu Bay and see the performance of Sentinel-2 satellite image in implementing algorithms based on Landsat satellite image. This study applies several algorithms to extract the estimated salinity and total solid suspended values from the Landsat 8 and Sentinel-2 satellite image using Google Earth Engine. The results of the analysis show algorithms that are suitable for implementation in the waters of Palabuhanratu Bay are the Cilamaya algorithm for estimating salinity values, and the Budhiman algorithm for estimating the total suspended solid value. Sentinel-2 satellite image has a good performance for implementing algorithms that built on Landsat image. So, the algorithm that build on Landsat image can be used to detect salinity and TSS in Sentinel-2 image.

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Evaluasi Algoritma Total Suspended Solid (Tss) Pada Citra Landsat 8 Terhadap Data TSS in-Situ

Cited by 4 publications

References 5 publications

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

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

Waters Quality Assessment on Physical-Chemical Parameters Using Remote Sensing Technologies: Criteria for Total Suspended Solids and Waters Transparency

The validation of water quality parameter algorithm using Landsat 8 and Sentinel-2 image in Palabuhanratu Bay

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