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General Information
Editor-in-chief
Prof. T. Hikmet Karakoc
Anadolu University, Faculty of Aeronautics and Astronautics, Turkey

IJET 2017 Vol.9(3): 233-238 ISSN: 1793-8236
DOI: 10.7763/IJET.2017.V9.976

Shoreline Change Analysis of Peat Soil Beach in Bengkalis Island Based on GIS and RS

Sigit Sutikno, Ari Sandhyavitri, Muhammad Haidar, and Koichi Yamamoto
Abstract—This paper presents an application of RS (remote sensing) and GIS (Geographic Information System) to analyze the spatial changes as well as quantify the shoreline change of Peat Soil Beach in Bengkalis Island, Riau Province, Indonesia. The area of Bengkalis Island is about 900 km2, of which 665 km2 is covered by peat more than 1 m thick. Landsat satellite images were used with a combination of histogram thresholding and band ratio method for shoreline change detection for last 26 years from 1988 to 2014. The statistical method called as LRR (Linear Regression Rate) and EPR (End Point Rate) in DSAS (Digital Shoreline Analysis System) was used to estimate the erosion and deposition rates. The shoreline of Bengkalis Island is dynamically changed over a time because abrasion rate is very high due to land use change in peat swamp forest. The maximum abrasion was 32.75 m/year and 32.53 m/year based on EPR and LRR methods respectively. Generally, either using EPR method or LRR method did not show a significant difference, although the LRR method tends to slightly underestimate.

Index Terms—Shoreline change, peat soil beach, GIS, RS.

Sigit Sutikno and Ari Sandhyavitri are with Universitas Riau, Pekanbaru 28293, Indonesia (e-mail: ssutiknoyk@yahoo.com, ari.sandhyavitri@gmail.com).
Muhammad Haidar is with Geospatial Information Agency, Indonesia (e-mail: muhammad.haidar@big.go.id).
Koichi Yamamoto, Yamaguchi University, Japan (e-mail: k_yama@yamaguchi-u.ac.jp).

[PDF]

Cite: Sigit Sutikno, Ari Sandhyavitri, Muhammad Haidar, and Koichi Yamamoto, "Shoreline Change Analysis of Peat Soil Beach in Bengkalis Island Based on GIS and RS," International Journal of Engineering and Technology vol. 9, no. 3, pp. 233-238, 2017.

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