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...
Main Authors: | , , , |
---|---|
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 |
id |
doaj-1950ed05aba44605a68f87d960ecaff6 |
---|---|
record_format |
Article |
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 |
_version_ |
1724422345603416064 |