Calibration of Numerical Model for Shoreline Change Prediction Using Satellite Imagery Data

This paper presents a method for calibration of numerical model for shoreline change prediction using satellite imagery data in muddy beach. Tanjung Motong beach, a muddy beach that is suffered high abrasion in Rangsang Island, Riau province, Indonesia was picked as study area. The primary numerical...

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Main Authors: Sigit Sutikno, Keisuke Murakami, Dwi Puspo Handoyo, Manyuk Fauzi
Format: Article
Language:English
Published: Universitas Indonesia 2015-12-01
Series:Makara Journal of Technology
Subjects:
Online Access:http://journal.ui.ac.id/technology/journal/article/view/3219
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spelling doaj-1950ed05aba44605a68f87d960ecaff62020-11-25T04:09:19ZengUniversitas IndonesiaMakara Journal of Technology2355-27862356-45392015-12-0119311311910.7454/mst.v19i3.3042291Calibration of Numerical Model for Shoreline Change Prediction Using Satellite Imagery DataSigit Sutikno0Keisuke Murakami1Dwi Puspo Handoyo2Manyuk Fauzi3Department of Civil Engineering, Universitas Riau, Pekanbaru 28293, IndonesiaDepartment of Civil Engineering, University of Miyazaki, 1-1 Gakuen Kibanadai Nishi, Miyazaki, 889-2192, JapanDepartment of Civil Engineering, Universitas Riau, Pekanbaru 28293, IndonesiaDepartment of Civil Engineering, Universitas Riau, Pekanbaru 28293, IndonesiaThis paper presents a method for calibration of numerical model for shoreline change prediction using satellite imagery data in muddy beach. Tanjung Motong beach, a muddy beach that is suffered high abrasion in Rangsang Island, Riau province, Indonesia was picked as study area. The primary numerical modeling tool used in this research was GENESIS (GENEralized Model for Simulating Shoreline change), which has been successfully applied in many case studies of shoreline change phenomena on a sandy beach.The model was calibrated using two extracted coastlines satellite imagery data, such as Landsat-5 TM and Landsat-8 OLI/TIRS. The extracted coastline data were analyzed by using DSAS (Digital Shoreline Analysis System) tool to get the rate of shoreline change from 1990 to 2014. The main purpose of the calibration process was to find out the appropriate value for K 1 and K coefficients so that the predicted shoreline change had an acceptable correlation with the output of the satellite data processing. The result of this research showed that the shoreline change prediction had a good correlation with the historical evidence data in Tanjung Motong coast. It means that the GENESIS tool is not only applicable for shoreline prediction in sandy beach but also in muddy beach.http://journal.ui.ac.id/technology/journal/article/view/3219dsas, numerical model, shoreline change
collection DOAJ
language English
format Article
sources DOAJ
author Sigit Sutikno
Keisuke Murakami
Dwi Puspo Handoyo
Manyuk Fauzi
spellingShingle Sigit Sutikno
Keisuke Murakami
Dwi Puspo Handoyo
Manyuk Fauzi
Calibration of Numerical Model for Shoreline Change Prediction Using Satellite Imagery Data
Makara Journal of Technology
dsas, numerical model, shoreline change
author_facet Sigit Sutikno
Keisuke Murakami
Dwi Puspo Handoyo
Manyuk Fauzi
author_sort Sigit Sutikno
title Calibration of Numerical Model for Shoreline Change Prediction Using Satellite Imagery Data
title_short Calibration of Numerical Model for Shoreline Change Prediction Using Satellite Imagery Data
title_full Calibration of Numerical Model for Shoreline Change Prediction Using Satellite Imagery Data
title_fullStr Calibration of Numerical Model for Shoreline Change Prediction Using Satellite Imagery Data
title_full_unstemmed Calibration of Numerical Model for Shoreline Change Prediction Using Satellite Imagery Data
title_sort calibration of numerical model for shoreline change prediction using satellite imagery data
publisher Universitas Indonesia
series Makara Journal of Technology
issn 2355-2786
2356-4539
publishDate 2015-12-01
description This paper presents a method for calibration of numerical model for shoreline change prediction using satellite imagery data in muddy beach. Tanjung Motong beach, a muddy beach that is suffered high abrasion in Rangsang Island, Riau province, Indonesia was picked as study area. The primary numerical modeling tool used in this research was GENESIS (GENEralized Model for Simulating Shoreline change), which has been successfully applied in many case studies of shoreline change phenomena on a sandy beach.The model was calibrated using two extracted coastlines satellite imagery data, such as Landsat-5 TM and Landsat-8 OLI/TIRS. The extracted coastline data were analyzed by using DSAS (Digital Shoreline Analysis System) tool to get the rate of shoreline change from 1990 to 2014. The main purpose of the calibration process was to find out the appropriate value for K 1 and K coefficients so that the predicted shoreline change had an acceptable correlation with the output of the satellite data processing. The result of this research showed that the shoreline change prediction had a good correlation with the historical evidence data in Tanjung Motong coast. It means that the GENESIS tool is not only applicable for shoreline prediction in sandy beach but also in muddy beach.
topic dsas, numerical model, shoreline change
url http://journal.ui.ac.id/technology/journal/article/view/3219
work_keys_str_mv AT sigitsutikno calibrationofnumericalmodelforshorelinechangepredictionusingsatelliteimagerydata
AT keisukemurakami calibrationofnumericalmodelforshorelinechangepredictionusingsatelliteimagerydata
AT dwipuspohandoyo calibrationofnumericalmodelforshorelinechangepredictionusingsatelliteimagerydata
AT manyukfauzi calibrationofnumericalmodelforshorelinechangepredictionusingsatelliteimagerydata
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