Accuracy test of total suspended solid concentration by Landsat 8 on in-situ data in Lancang Island waters, Kepulauan Seribu

2019 ◽  
Author(s):  
Emma Suri Yanti Siregar ◽  
Insaniah Rahimah ◽  
Vincentius P. Siregar ◽  
Syamsul B. Agus
Keyword(s):  
Total Suspended Solid ◽  
Suspended Solid ◽  
Landsat 8 ◽  
Solid Concentration ◽  
In Situ Data ◽  
Accuracy Test ◽  
Suspended Solid Concentration

scholarly journals TOTAL SUSPENDED SOLID DISTRIBUTION ANALYSIS USING SPOT-6 DATA IN SEGARA ANAKAN, CILACAP

2018 ◽  
Vol 5 (2) ◽  
pp. 177 ◽  
Author(s):  
Aisya Jaya Dhannahisvara ◽  
Hartono Harjo ◽  
Pramaditya Wicaksono ◽  
Ferman Setia Nugroho
Keyword(s):  
Chlorophyll A ◽  
Empirical Model ◽  
Field Data ◽  
Near Infrared ◽  
Total Suspended Solid ◽  
Suspended Solid ◽  
Distribution Analysis ◽  
Chlorophyll A Concentration ◽  
Accuracy Test ◽  
Suspended Solid Concentration

Spatial distribution and concentration of Total Suspended Solid (TSS) is one of the coastal parameters which are required to be examined in order to understand the quality of the water. Rapid development of remote sensing technology has resulted in the emergence of various methods to estimate TSS concentration. SPOT-6 data has spatial, spectral, and temporal characteristics that can be used to estimate TSS concentration. The purposes of this research are (1) to determine the best method for estimating TSS concentration, (2) to map TSS distribution, and (3) to determine the correlation between TSS concentration and chlorophyll-a concentration using SPOT-6 data in Segara Anakan. The estimation of TSS concentration in this research was performed using empirical model built from SPOT-6 and TSS field data. Bands used in this research are single band data (blue, green, red, and near infrared) and transformed bands such as band ratio (12 combinations), Normalized Difference Suspended Solid Index (NDSSI), and Suspended Solid Concentration Index (SSC). The result shows that blue, green, red, and near infrared bands and SSC index significantly correlated to TSS. Afterwards, regression analysis was performed to determine the function that can be used to predict TSS concentration using SPOT-6 data. Regression function used are linear and non-linear (exponential, logarithmic, 2nd order polynomial, and power). The best model was chosen based on the accuracy assessment using Standard Error of Estimate (SE). The selected model was used to calculate total TSS concentration and was correlated with chlorophyll-a field data. The result of accuracy test shows that the model from blue band has an accuracy of 70.68 %, green band 70.68 %, red band 75.73 %, near infrared band 65.58 %, and SSC 73.67 %. The accuracy test shows that red band produced the best prediction model for mapping TSS concentration distribution. The total TSS concentration, which was calculated using red band empirical model, is estimated to be 6.13 t. According to the correlation test, TSS concentration in Segara Anakan has no significant correlation with chlorophyll-a concentration, with a coefficient correlation value of -0.265.

scholarly journals REMOTE ESTIMATION OF TOTAL SUSPENDED SOLID (TSS) TRANSPORT AFFECTED BY TIDAL BORE “BONO” OF KAMPAR BIG RIVER ESTUARY USING LANDSAT 8 OLI IMAGERY

2017 ◽  
Vol 42 (1) ◽  
pp. 37-45 ◽  
Author(s):  
Ulung Jantama Wisha ◽  
Ruzana Dhiauddin ◽  
Gunardi Kusumah
Keyword(s):  
River Estuary ◽  
Total Suspended Solid ◽  
Suspended Solid ◽  
Tidal Range ◽  
Primary Data ◽  
Natural Phenomenon ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Tidal Bore

The Kampar River estuary has a unique tidal bore, namely Bono. A tidal bore is a natural phenomenon caused by the tidal flow which meet the flow of the river. Tidal bore "Bono" has an impact on the transport of suspended particles which is pretty much along the Kampar River. The purpose of this study is to determine the estimated concentration of total suspended solid in the river as the result of the transport by Bono in Kampar River estuary by Landsat 8 OLI. The primary data are Landsat 8 OLI sensor – on Path 126 and Row 60, recording date was on 23 -04-2016, which was analyzed spatially – and TSS in situ. The secondary data are tide forecasting data and topographical map of Indonesia. Distribution of total suspended solid indicates sediment transport and its distribution by TSS values ranged between 10-150 mg.L-1 and TSS in situ value ranged between 42-241 mg.L-1. Tidal range ranged from 0.78 to 4.2 m and current velocity ranged from 0-0.9 m.s-1, which generate tidal bore extending from the mouth to the river body, resulting in suspended particle transport along the river. TSS concentration is higher in the river estuary.

scholarly journals Influence of Rainfall Characteritics on Total Suspended Solid Concentration

2018 ◽  
Vol 1049 ◽  
pp. 012039
Author(s):  
N A Zuraini ◽  
N Alias ◽  
N Abd Rahman ◽  
S Harun ◽  
Z Ibrahim ◽  
...  
Keyword(s):  
Total Suspended Solid ◽  
Suspended Solid ◽  
Solid Concentration ◽  
Suspended Solid Concentration

scholarly journals ALGORITMA DUA DIMENSI UNTUK ESTIMASI MUATAN PADATAN TERSUSPENSI MENGGUNAKAN DATA SATELIT LANDSAT-8, STUDI KASUS: TELUK LAMPUNG

2017 ◽  
Vol 13 (2) ◽  
Author(s):  
Muchlisin Arief ◽  
Syifa Wismayati Adawiah ◽  
Maryani Hartuti ◽  
Ety Parwati
Keyword(s):  
Linear Equation ◽  
Optical Sensors ◽  
Total Suspended Solid ◽  
Suspended Solid ◽  
Quality Parameters ◽  
Landsat 8 ◽  
The West ◽  
Remote Sensing Technique ◽  
Measurement Results

Remote sensing technique is a powerful tool for monitoring the coastal zone. Optical sensors can be used to measure water quality parameters Total Suspended Matter (MPT). In order to be able to extract information MPT, the satellite data need to be validated with in situ measurements that make the relationship between the reflectance band with concentration MPT measurement results. In this model, do the correlation between the measurement results with the reflectance values band 3 and band 4. then obtained a linear equation, then calculated using the argument of a ratio of 60:75 to each of the correlation coefficient, the obtained linear equation two Dimension T (X3, X4) = 2313.77 X3 + 4741.11 X4 + 314.95. Based on the concentration MPT of dated June 3, 2015 was lower than in the west to the east. this is because the east is already contaminated with the plant, effluent solids by humans, while the west for still many floating net fish, and mangrove. Based on the results of measurement and calculation results , is still far from perfect (accuracy 60%), one factor is the value thresholding, when determining the boundary between: clouds, sea, and land. Generally indicates that the model is still in need for repair. Abstrak Penginderaan jauh adalah alat yang ampuh untuk memantau zona pesisir. Sensor optik dapat digunakan untuk mengukur parameter kualitas air Total Suspended Solid/Muatan Padatan Tersuspensi (MPT). Agar supaya dapat mengekstraksi informasi MPT, maka, data satelit perlu divalidasi dengan pengukuran in situ yaitu membuat hubungan antara reflektansi band dengan konsentrasi MPT hasil pengukuran. Pada model ini, dilakukan korelasi antara hasil pengukuran dengan nilai reflektansi band3 dan band4, maka diperoleh persamaan linier, kemudian dihitung dengan menggunakan dalil perbandingan 60 : 75, untuk masing-masing koefisien korelasinya, maka diperoleh persamaan linier dua dimensi T(X3,X4) = 2313.77 X3 + 4741,11 X4 + 314.95.  Berdasarkan konsentrasi MPT  pada 3 Juni 2015 di sebelah baratlebih rendah dibandingkan sebelah timur. Hal ini dikarenakan sebelah timur sudah terkontaminasi dengan pabrik, buangan benda padat oleh manusia, sedangkan sebelah barat karena masih banyak keramba jaring apung ikan dan mangrove. Berdasarkan hasilnya antara pengukuran dan hasil perhitungan, masih jauh dari sempuna (ketelitiannya 60 %), salah satu faktornya adalah dalam menentukan nilai thresholding, pada saat  menentukan batas antara: awan, laut dan darat. Secara umum menunjukkan bahwa model yang masih membutuhkan perbaikan.

scholarly journals Influence of Rainfall Spatial Distribution on Total Suspended Solid (TSS in Ci lutung Watershed

2018 ◽  
Vol 73 ◽  
pp. 03015
Author(s):  
Anis Taufik Ibrahim ◽  
Eko Kusratmoko
Keyword(s):  
Spatial Distribution ◽  
Distribution Pattern ◽  
Total Suspended Solid ◽  
Extraction Process ◽  
Suspended Solid ◽  
Spatial Distribution Pattern ◽  
Coefficient Of Determination ◽  
Solid Concentration ◽  
Suspended Solid Concentration ◽  
Rainfall Spatial Distribution

The study aims to analyze the influence of rainfall spatial distribution on total suspended solid and the connection between total suspended solid with river stream discharge on the condition of physical characteristics in Cilutung stream area, Majalengka regency. The extraction process of Himawari 8 Imagery used to find out the rainfall spatial distribution pattern while taking samples in April, 2018. Curve Number Data have the form of hydrologic soil groups and land use required to give score to each five sub-watershed that has been delineated for region physical characteristic. The Rainfall spatial distribution pattern has strong correlation with total suspended solid concentration generated through runoff discharge with coefficient of determination number r2 = 0,8416. The varied rainfall spatial distribution pattern take part to the occurrence of fluctuation of total suspended solid concentration with average 190 mg/l, and amount of total suspended sediment yield 820 kg/m3.

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