Dynamics of shoreline changes in the coastal region of Sayung, Indonesia

Ratna Sari Dewi*, W. Bijker

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Monitoring shoreline is important for planning and development in the coastal region. This study utilizes remote sensing and GIS (Geographic Information System) techniques to observe the dynamics of the shoreline in the coastal region of Sayung, Indonesia, from 1988 up to 2017. Multi-temporal remote sensing images from Thematic Mapper (TM), Advance Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Operational Land Imager and Thermal Infrared Sensor (OLI/TIRS) were used in fuzzy classification followed by thresholding to generate shorelines. Post classification change detection was implemented to analyse changes in shoreline position in the study area. From these changes, erosion and accretion areas along the coast were inferred. The results show a general trend of continuous shoreline changes as a result of increasing coastal inundation. Between 1988 and 2017, 25% of the area has changed from non-water to water and 5% of the area has changed from non-water to shoreline margin. Comparison with the land use/cover (LUC) maps showed that these changes were related to the changes from other crops and paddy field into fishpond and from fishpond into water body.

Original languageEnglish
Number of pages13
JournalEgyptian Journal of Remote Sensing and Space Science
DOIs
Publication statusAccepted/In press - 20 Sep 2019

Fingerprint

shoreline change
shoreline
remote sensing
paddy field
radiometer
accretion
sensor
erosion
land use
crop
coast
monitoring

Keywords

  • Change detection
  • Monitoring
  • Multi-temporal images
  • Shoreline
  • Shoreline change
  • ITC-GOLD

Cite this

@article{15dd9908ee064d769da1528be3124547,
title = "Dynamics of shoreline changes in the coastal region of Sayung, Indonesia",
abstract = "Monitoring shoreline is important for planning and development in the coastal region. This study utilizes remote sensing and GIS (Geographic Information System) techniques to observe the dynamics of the shoreline in the coastal region of Sayung, Indonesia, from 1988 up to 2017. Multi-temporal remote sensing images from Thematic Mapper (TM), Advance Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Operational Land Imager and Thermal Infrared Sensor (OLI/TIRS) were used in fuzzy classification followed by thresholding to generate shorelines. Post classification change detection was implemented to analyse changes in shoreline position in the study area. From these changes, erosion and accretion areas along the coast were inferred. The results show a general trend of continuous shoreline changes as a result of increasing coastal inundation. Between 1988 and 2017, 25{\%} of the area has changed from non-water to water and 5{\%} of the area has changed from non-water to shoreline margin. Comparison with the land use/cover (LUC) maps showed that these changes were related to the changes from other crops and paddy field into fishpond and from fishpond into water body.",
keywords = "Change detection, Monitoring, Multi-temporal images, Shoreline, Shoreline change, ITC-GOLD",
author = "Dewi, {Ratna Sari} and W. Bijker",
year = "2019",
month = "9",
day = "20",
doi = "10.1016/j.ejrs.2019.09.001",
language = "English",
journal = "Egyptian Journal of Remote Sensing and Space Science",
issn = "1110-9823",
publisher = "National Authority for Remote Sensing and Space Sciences",

}

Dynamics of shoreline changes in the coastal region of Sayung, Indonesia. / Dewi, Ratna Sari; Bijker, W.

In: Egyptian Journal of Remote Sensing and Space Science, 20.09.2019.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Dynamics of shoreline changes in the coastal region of Sayung, Indonesia

AU - Dewi, Ratna Sari

AU - Bijker, W.

PY - 2019/9/20

Y1 - 2019/9/20

N2 - Monitoring shoreline is important for planning and development in the coastal region. This study utilizes remote sensing and GIS (Geographic Information System) techniques to observe the dynamics of the shoreline in the coastal region of Sayung, Indonesia, from 1988 up to 2017. Multi-temporal remote sensing images from Thematic Mapper (TM), Advance Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Operational Land Imager and Thermal Infrared Sensor (OLI/TIRS) were used in fuzzy classification followed by thresholding to generate shorelines. Post classification change detection was implemented to analyse changes in shoreline position in the study area. From these changes, erosion and accretion areas along the coast were inferred. The results show a general trend of continuous shoreline changes as a result of increasing coastal inundation. Between 1988 and 2017, 25% of the area has changed from non-water to water and 5% of the area has changed from non-water to shoreline margin. Comparison with the land use/cover (LUC) maps showed that these changes were related to the changes from other crops and paddy field into fishpond and from fishpond into water body.

AB - Monitoring shoreline is important for planning and development in the coastal region. This study utilizes remote sensing and GIS (Geographic Information System) techniques to observe the dynamics of the shoreline in the coastal region of Sayung, Indonesia, from 1988 up to 2017. Multi-temporal remote sensing images from Thematic Mapper (TM), Advance Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Operational Land Imager and Thermal Infrared Sensor (OLI/TIRS) were used in fuzzy classification followed by thresholding to generate shorelines. Post classification change detection was implemented to analyse changes in shoreline position in the study area. From these changes, erosion and accretion areas along the coast were inferred. The results show a general trend of continuous shoreline changes as a result of increasing coastal inundation. Between 1988 and 2017, 25% of the area has changed from non-water to water and 5% of the area has changed from non-water to shoreline margin. Comparison with the land use/cover (LUC) maps showed that these changes were related to the changes from other crops and paddy field into fishpond and from fishpond into water body.

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KW - Monitoring

KW - Multi-temporal images

KW - Shoreline

KW - Shoreline change

KW - ITC-GOLD

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