Developing of Total Suspended Sediment Model Using Landsat-8 Satellite Image and In-Situ Data at The Surabaya Coast, East Java, Indonesia

https://doi.org/10.22146/ijg.12010

Teguh Hariyanto(1*), Trismono C. Krisna(2), Khomsin Khomsin(3), Cherie Bhekti Pribadi(4), Nadjadji Anwar(5)

(1) Department of Geomatic Engineering, Sepuluh Nopember Institute of Technology Surabaya
(2) Faculty of Civil Engineering and Planning, Institut Teknologi Sepuluh Nopember Surabaya
(3) Faculty of Civil Engineering and Planning, Institut Teknologi Sepuluh Nopember Surabaya
(4) Faculty of Civil Engineering and Planning, Institut Teknologi Sepuluh Nopember Surabaya
(5) Faculty of Civil Engineering and Planning, Institut Teknologi Sepuluh Nopember Surabaya
(*) Corresponding Author

Abstract


The decrease of coastal-water quality in the Surabaya coastal region can be recognized from the conceentration of Total Suspended Sediment(TSS ) . As a result we need a system for monitoring sediment concentration in the coastal region of Surabaya which regularly measures TSS. The principle to model and monitor TSSconcentration using remote sensing methods is by the integration of Landsat-8OLI satellites image processing using some ofTSS-models then those are analyzed for looking its suitability with TSS value direcly measured in the field ( in-situ measurement). The TSS value modeled from all algorithms validated usingcorrelation analysis and linear regression . The result shows that TSS model with the highest correlation value is TSS algorithm by Budiman (2004)with r value 0.991. Hence this algorithm can be used to investigate TSS-distribution which represent the coastal water quality of Surabaya with TSS value between 75 mg/L to 125 mg/L.

Keywords


algorithm; coastal water; Landsat 8 OLI; Total Suspended Sediment (TSS); Surabaya

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References

Baboo.S.S, (2011). Geometric Correction in Recent High Resolution Satellite Imagery : A Case Study in Coimbatore, International Journal of Computer Applications ,Volume 14– No.1, 0975 – 8887.


Budhiman, S, (2004). Mapping TSM Concentrations From Multi Sensor Satellite Images in Turbid Tropical Coastal Waters of Mahakam Delta Indonesia, Enschede: MSc Thesis ITC Enschede, The Netherlands.


Camper, (2011). Georeferencing (Geometric Correction), Remote Sensing and Image Analysis, University of California at Berkeley.
Edgardh.L.A, Landsat 8, LDCM Landsat data Continuity Mission NASA – USGS.


Hariyanto,T, (2014). Identification of Total Suspended Sediment (TSS) Distribution at Surabaya East Coast Area in East Java Indonesia Using TSS Algorithm Implementation on Multi Temporal Satellite Images, International Journal of Earth Sciences and Engineering ISSN 0974-5904, Vol. 07, No. 04, August, 2014, pp. 1341-1346


Nurandani.P. (2013). Pemetaan Total Suspended Solid (TSS) Menggunakan Citra Satelit Multi Temporal di Danau Rawa Pening Provinsi Jawa Tengah. Teknik Geodesi Undip.


Rodriguez-Guzman,V. And Gilbes .F.(2009). Using Modis 250 m Imagery to Estimate Total Suspended Sediment in a Tropical Open Bay. International Journal Of Systems Aplications Engineering & Development 3(1):36-44.



DOI: https://doi.org/10.22146/ijg.12010

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