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

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...

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Main Authors: Ratna Sari Dewi, Wietske Bijker
Format: Article
Language:English
Published: Elsevier 2020-08-01
Series:Egyptian Journal of Remote Sensing and Space Sciences
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1110982318302722
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spelling doaj-947f47a00c704396a1d41b82d1d3be132020-11-25T03:40:49ZengElsevierEgyptian Journal of Remote Sensing and Space Sciences1110-98232020-08-01232181193Dynamics of shoreline changes in the coastal region of Sayung, IndonesiaRatna Sari Dewi0Wietske Bijker1Geospatial Information Agency (Badan Informasi Geospasial), Jl. Raya Jakarta-Bogor Km. 46, Cibinong, Bogor 16911, Indonesia; Corresponding author.Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, 7500 AE Enschede, The NetherlandsMonitoring 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.http://www.sciencedirect.com/science/article/pii/S1110982318302722ShorelineShoreline changeChange detectionMonitoringMulti-temporal images
collection DOAJ
language English
format Article
sources DOAJ
author Ratna Sari Dewi
Wietske Bijker
spellingShingle Ratna Sari Dewi
Wietske Bijker
Dynamics of shoreline changes in the coastal region of Sayung, Indonesia
Egyptian Journal of Remote Sensing and Space Sciences
Shoreline
Shoreline change
Change detection
Monitoring
Multi-temporal images
author_facet Ratna Sari Dewi
Wietske Bijker
author_sort Ratna Sari Dewi
title Dynamics of shoreline changes in the coastal region of Sayung, Indonesia
title_short Dynamics of shoreline changes in the coastal region of Sayung, Indonesia
title_full Dynamics of shoreline changes in the coastal region of Sayung, Indonesia
title_fullStr Dynamics of shoreline changes in the coastal region of Sayung, Indonesia
title_full_unstemmed Dynamics of shoreline changes in the coastal region of Sayung, Indonesia
title_sort dynamics of shoreline changes in the coastal region of sayung, indonesia
publisher Elsevier
series Egyptian Journal of Remote Sensing and Space Sciences
issn 1110-9823
publishDate 2020-08-01
description 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.
topic Shoreline
Shoreline change
Change detection
Monitoring
Multi-temporal images
url http://www.sciencedirect.com/science/article/pii/S1110982318302722
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AT wietskebijker dynamicsofshorelinechangesinthecoastalregionofsayungindonesia
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