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Shoreline Change Detection Using Dsas in Pariaman City, West Sumatera

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Abstract

This study was conducted to determine the shoreline change that occurred in the coastal of Pariaman city due to accretion and erosion. The present study of the shoreline changes along Pariaman City was done using DSAS 5.0 vector analysis. Landsat 5 TM 1989, Landsat 7 ETM+1999 and 2011, and Landsat 8 OLI/TIRS 2020 images were interpreted first. The results indicate that during 1989 – 1999 there was abrasion with an average distance of change of 281,60 m. The period from 1999 to 2011 was characterized by accretion with an average distance of change of 15,98 m. The latter period 2011 – 2020 was dominated by accretion with an average distance of change of 53,68 m. The indicated fundamental output of the study is to provide useful scientific information and data for development planning and coastal areas, especially those managing the environment and their ecosystems, as well as for the government and related stakeholders and academics and scientists for the use of resources and space in coastal areas. Stakeholders include the city government office in Padang Pariaman, Ministry of Marine Affairs and Fisheries, Regional Disaster Management Agency and Ministry of Public Works and Public Housing of Republic of Indonesia.

About the Authors

Widya Prarikeslan
Doctoral Program of Environmental Sciences, – Universitas Negeri Padang; Department of Geography, Faculty of Social Science – Student Universitas Negeri Padang
Indonesia

 

 



Dian A. Arif
Department of Geography, Faculty of Social Science – Student Universitas Negeri Padang
Indonesia


Eri Barlian
Environmental Sciences Department – Universitas Negeri Padang
Indonesia


Nurhasan Syah
Environmental Sciences Department – Universitas Negeri Padang
Indonesia


Yulia Nanda
Department of Geography, Faculty of Social Science – Student Universitas Negeri Padang
Indonesia


Widia Sutriani
Department of Geography, Faculty of Social Science – Student Universitas Negeri Padang
Indonesia


References

1. Addo A.K., Walkden Mills M. a., & T.J. (2008). Detection, Measurement, and prediction of shoreline recession in Accra, Ghana. ISPRS Journal of Photogrammetry and Remote Sensing, 63(5).543-558.

2. Ardiansyah (2015). Remote Sensing Image Processing using ENVI 5.1 and ENVI Lidar (Theory and Practice). South Jakarta: PT. LABSIG INDERAJA ISLIM.

3. Arief M. (2011). Study of Coastline Change using Landsat Satellite Data in Kendal Regency. Remote Sensing Journal, 8.

4. Arif D., Prarikeslan W., & Syaharani L. (2020). Analysis of Shoreline Dynamics for Coastal Management Practice in Pariaman, West Sumatera. International Journal, 19(72), 166-172.

5. Armenakis C., & Savopol F. (2004). Image Processing and GIS Tools for Feature and Change Extraction. International Archives of Photogrammetry, Remote Sensing & Spatial Information Sciences, 35.611-616.

6. Bird E. (2008). Coastal Geomorphology. England: Wiley.

7. Benassai ,G.(2006). Introduction Coastal Dynamics and Shorline Protection. WITpress publishes leading books in Science and Technology. University of Naples Parthenope, Italy

8. Burt J., & Bartholomew A. (2019). Towards More Sustainable Coastal Development In An Urbanized Seascape. Marine Pollution Bulletin, p93-102.

9. CORINE (1998). COastal eRosIoN databasE. CEC, Luxembourg, 79pp plus maps

10. Darmiati (2020). Analysis of Coastline Changes in the West Coast Region of Tanah Laut Regency, South Kalimantan. Journal of Tropical Marine Science and Technology, 12(1).

11. De paula, Davis P., Lima Jailson C., Barros Eduardo L. (2021). Coastal Erosion And Tourism: The Case Of The Distribution Of Tourist Accommodations And Their Daily Rates. Geography, Environment, Sustainability, 14(3), 110-120.

12. Dolan R., Fenster M., & Holme S. (1991). Temporal Analysis of Shoreline Recession and Accretion. Journal of Coastal Research, 723-744.

13. Fawzi N., & Iswari M. (2018). Remote Sensing for Coastal Studies. Oceana, XLIII(2).

14. Genz A., Fletcher C., Dunn R., Rooney L.F., & J.J. (2007). The Predictive Accuracy of Shoreline Change Rate Methods and Alongshore Beach Variation on Maui, Hawaii. Journal of Coastal Research, 23(1 (231)).87-105.

15. Kallepalli A., Kakani N., James D., & Richardson M. (2017). Digital Shoreline Analysis System-Based Change Detection Along the Highly Eroding Krishna-Godavari Delta Front. Journal of Applied Remote Sensing, 11(3).036018.

16. Kasim F. (2012). Multiple Method Approach in Monitoring Coastline Change using Landsat Remote Sensing Dataset and GIS. Agropolitan Scientific Journal, 5.

17. Kasim F., & Salam A. (2015). Identification of Coastline Changes using Satellite Imagery and Their Correlation with Land Cover Along the South Coast of Gorontalo Province. Scientific Journal of Fisheries and Marine Affairs, 3(4).

18. Li R., Di K., & Ma R. (2001). A Comparative Study of Shoreline Mapping Techniques. GIS for Coastal Zone Management, 53-60.

19. Mentaschi L., Vousdoukas M., Voukouvalas E., & Feyen L. (2018). Global Long-Term Observations of Coastal Erosion and Accretion. Scientific Reports, 8(1), 1-11.

20. Nassar K., Mahmod W., Fath H., A, Negm K.N., & A. (2019). Shoreline Change Detection using DSAS Technique: Case of North Sinai Coast, Egypt. Marine Georesources & Geotechnology, 37(1), 81-95.

21. Nayak S. (2002). Use of Satellite Data in Coastal Mapping. Indian Cartographer, 22, 147-157.

22. Nugraha I. (2016). Coastline Extraction using Landsat Satellite Imagery on the Southeast Coast of Bali (Case Study of Gianyar and Klungkung Regencies). Proceedings of the National Marine Seminar.

23. Raj N., Gurugnanam B., Sudhakar V., & Francis P. (2019). Estuarine Shoreline Change Analysis Along with the Ennore River Mouth, South East Coast of India, using Digital Shoreline Analysis System. Geodesy and Geodynamics, 10(3), 205-212.

24. Rajasree B., Deo M., & Nair L. (2016). Effect of Climate Change on Shoreline Shifts at A Straight and Continuous Coast. Estuarine, Coastal, and Shelf Science, 183, 221-234.

25. Solihuddin Tb. (2011). Karakteristik Pantai Dan Proses Abrasi Di Pesisir Padang Pariaman, S umatera Barat. Globë, 13(2), Desember 2011, 112 - 12

26. Winarso G., & Budhiman S. (2001). The Potential Application of Remote Sensing Data for Coastal Study. . In Proc. 22nd. Asian Conference on Remote Sensing, Singapore, 1-5.

27. Zhang Y. (2011). Coastal Environmental Monitoring using Remotely Sensed Data and GIS Techniques in The Modern Yellow River Delta, China. Environmental Monitoring and Assessment, 179(1), 15-29.

28. Zhao B., Guo H., Yan Y., Wang Q., & Li B. (2008). A Simple Waterline Approach for Tidelands using Multi-Temporal Satellite Images; A Case Study in the Yangtze Delta. Estuarine, Coastal and Shelf Science, 77(1), 134-142.

29. Zimmermann G., & Bijker W. (2004). Monitoring the Amazon with Different Spatial and Temporal Resolution. In The XX ISPRS Congress Proceeding.


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For citations:


Prarikeslan W., Arif D.A., Barlian E., Syah N., Nanda Yu., Sutriani W. Shoreline Change Detection Using Dsas in Pariaman City, West Sumatera. GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY. 2022;15(2):116-123.

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ISSN 2071-9388 (Print)
ISSN 2542-1565 (Online)