UTILIZATION OF REMOTE SENSING DATA IN IDENTIFYING COASTLINE CHANGES WITH THE BILKO ALGORITHM METHOD IN 2014, 2018, AND 2022

(Case Study of Pasir Baru Beach Area, Sungai Limau District)

  • Zafini Basri Student of D3 Remote Sensing Technology Study Program, Faculty of Social Sciences, Universitas Negeri Padang
  • Dian Adhetya Arif Lecturer of D3 Remote Sensing Technology Study Program, Faculty of Social Sciences, Universitas Negeri Padang
  • Sri Kandi Putri Lecturer of D3 Remote Sensing Technology Study Program, Faculty of Social Sciences, Universitas Negeri Padang
  • Dedy Fitriawan Lecturer of D3 Remote Sensing Technology Study Program, Faculty of Social Sciences, Universitas Negeri Padang
DOI: https://doi.org/10.24036/irsaj.v4i2.46
Keywords: Identification, Shoreline Change, Abrasion, Accretion, DSAS, Remote Sensing, Landsat 8 OLI Satellite Imagery

Abstract

The beach is a form of geology composed of sand located in coastal areas and the position of the coastline is dynamic. Identification of shoreline changes is important information that can be obtained from Remote Sensing Data and Geographic Information Systems (GIS) which has advantages and speed in the results of the process. This research was carried out in the Pasir Baru Beach area, Nagari Pilubang, Sungai Limau District using Landsat 8 OLI Satellite Images in 2014, 2018, and 2022 with the aim of determining changes in coastlines in the 2014-2018 and 2018-2022 ranges and knowing the extent of coastline changes in the 2014-2018 and 2018-2022 ranges. The method used to extract the coastline is obtained from the extraction results from the Landsat 8 OLI Satellite Image using the BILKO algorithm method, for the calculation of distance and rate of change of coastlines using a digital coastline analysis system (DSAS) with two statistical methods, namely Net Shoreline Movement (NSM) and End Point Rate (EPR) and for calculating the area of coastline change using the Calculate Geometry menu using attribute information in the software ArcGIS 10.5 in square meters (m2). Based on the results of the study that the coastal process that occurred in the research area from 2014-2022 was an erosion or abrasion event. The amount of erosion increased from 2018 to 2022 with an average erosion rate of 2.11 m / year, while the average abrasion distance was 7.49 m / year which was characterized by the formation of abrasion gawir and the fall of new trunk trees around the beach due to soil erosion. Meanwhile, the average rate for sedimentation or accretion events in 2018-2022 is 0.04 m/year while the average distance of change due to accretion events is 0.15 m/year. With a total area of erosion or abrasion events in 2018-2022 of 48,220.4 m, with an average annual area change of 12,055 m. Meanwhile, the total area of sedimentation or accretion events in 2018-2022 amounted to 449.3 m with an average annual area change of 112.3 m.

Published
2023-12-25
How to Cite
Basri, Z., Arif, D., Putri, S., & Fitriawan, D. (2023). UTILIZATION OF REMOTE SENSING DATA IN IDENTIFYING COASTLINE CHANGES WITH THE BILKO ALGORITHM METHOD IN 2014, 2018, AND 2022. International Remote Sensing Applied Journal, 4(2), 31-41. https://doi.org/10.24036/irsaj.v4i2.46
Issue
Vol 4 No 2 (2023): International Remote Sensing Application Journal (December Edition 2023)
Section
Articles

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