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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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 |
work_keys_str_mv |
AT ratnasaridewi dynamicsofshorelinechangesinthecoastalregionofsayungindonesia AT wietskebijker dynamicsofshorelinechangesinthecoastalregionofsayungindonesia |
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