Developing of Total Suspended Sediment Model Using Landsat-8 Satellite Image and In-Situ Data at The Surabaya Coast, East Java, Indonesia
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...
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| Format: | Article |
| Language: | English |
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Universitas Gadjah Mada
2017-07-01
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| Series: | Indonesian Journal of Geography |
| Subjects: | |
| Online Access: | https://jurnal.ugm.ac.id/ijg/article/view/12010 |
| _version_ | 1818790448079044608 |
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| author | Teguh Hariyanto Trismono C. Krisna Khomsin Khomsin Cherie Bhekti Pribadi Nadjadji Anwar |
| author_facet | Teguh Hariyanto Trismono C. Krisna Khomsin Khomsin Cherie Bhekti Pribadi Nadjadji Anwar |
| author_sort | Teguh Hariyanto |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-18T14:55:37Z |
| format | Article |
| id | doaj.art-0c0ae5b9652b4cbc86428fd65630226f |
| institution | Directory Open Access Journal |
| issn | 0024-9521 2354-9114 |
| language | English |
| last_indexed | 2024-12-18T14:55:37Z |
| publishDate | 2017-07-01 |
| publisher | Universitas Gadjah Mada |
| record_format | Article |
| series | Indonesian Journal of Geography |
| spelling | doaj.art-0c0ae5b9652b4cbc86428fd65630226f2022-12-21T21:04:03ZengUniversitas Gadjah MadaIndonesian Journal of Geography0024-95212354-91142017-07-01491737910.22146/ijg.1201017198Developing of Total Suspended Sediment Model Using Landsat-8 Satellite Image and In-Situ Data at The Surabaya Coast, East Java, IndonesiaTeguh Hariyanto0Trismono C. Krisna1Khomsin Khomsin2Cherie Bhekti Pribadi3Nadjadji Anwar4Department of Geomatic Engineering, Sepuluh Nopember Institute of Technology SurabayaFaculty of Civil Engineering and Planning, Institut Teknologi Sepuluh Nopember SurabayaFaculty of Civil Engineering and Planning, Institut Teknologi Sepuluh Nopember SurabayaFaculty of Civil Engineering and Planning, Institut Teknologi Sepuluh Nopember SurabayaFaculty of Civil Engineering and Planning, Institut Teknologi Sepuluh Nopember SurabayaThe 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.https://jurnal.ugm.ac.id/ijg/article/view/12010algorithmcoastal waterLandsat 8 OLITotal Suspended Sediment (TSS)Surabaya |
| spellingShingle | Teguh Hariyanto Trismono C. Krisna Khomsin Khomsin Cherie Bhekti Pribadi Nadjadji Anwar Developing of Total Suspended Sediment Model Using Landsat-8 Satellite Image and In-Situ Data at The Surabaya Coast, East Java, Indonesia Indonesian Journal of Geography algorithm coastal water Landsat 8 OLI Total Suspended Sediment (TSS) Surabaya |
| title | Developing of Total Suspended Sediment Model Using Landsat-8 Satellite Image and In-Situ Data at The Surabaya Coast, East Java, Indonesia |
| title_full | Developing of Total Suspended Sediment Model Using Landsat-8 Satellite Image and In-Situ Data at The Surabaya Coast, East Java, Indonesia |
| title_fullStr | Developing of Total Suspended Sediment Model Using Landsat-8 Satellite Image and In-Situ Data at The Surabaya Coast, East Java, Indonesia |
| title_full_unstemmed | Developing of Total Suspended Sediment Model Using Landsat-8 Satellite Image and In-Situ Data at The Surabaya Coast, East Java, Indonesia |
| title_short | Developing of Total Suspended Sediment Model Using Landsat-8 Satellite Image and In-Situ Data at The Surabaya Coast, East Java, Indonesia |
| title_sort | developing of total suspended sediment model using landsat 8 satellite image and in situ data at the surabaya coast east java indonesia |
| topic | algorithm coastal water Landsat 8 OLI Total Suspended Sediment (TSS) Surabaya |
| url | https://jurnal.ugm.ac.id/ijg/article/view/12010 |
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