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Analysis of Shoreline Change Trends and Adaptation of Selangor Coastline, Using Landsat Satellite Data

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Abstract

Shoreline change analysis of Selangor was studied from Landsat satellite multispectral images taken during the years 1990–2015 and was analyzed using the digital shoreline analysis system technique. The results show that almost 51% of the total analyzed shoreline length experienced erosion. By comparing the average erosion rate between 5 coastal districts of Selangor, Kuala Selangor recorded the highest average erosion rate − 3.50 m/yr (endpoint rate) or − 3.64 m/yr (linear regression rate). The highest erosion rate for the entire Selangor coast was recorded in Kuala Selangor district coast with − 18.61 m/yr (endpoint rate) and − 19.78 m/yr (linear regression rate); these readings were recorded at Sungai Yu transect. Kuala Langat has been identified as the coastal district that has the highest percentages of erosion. (Thirty-nine percentage of total transects along Kuala Langat showed accretion.) Coastal adaptive capacity assessment of Selangor coastline indicates that about 123.05 km of the total analyzed shoreline length (327.23 km) has a low adaptive capacity (eroded), 40.18 km of the shoreline have a medium adaptive capacity (eroded) and 164 km of the shoreline has a high adaptive capacity of long-term shoreline trends.

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Acknowledgement

Authors would like to thank FRIM, ISB and IOES (University of Malaya) and Prof. Fernando Siringan (University of the Philippines). This work was supported by the University of Malaya [RU006G-2014] and the Forest Research Institute of Malaysia [GA002-2015].

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Authors and Affiliations

  1. Institute of Biological Sciences, University of Malaya, 50603, Kuala Lumpur, Malaysia

    Sunita Daud, Pozi Milow & Rozainah Muhammad Zakaria

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  1. Sunita Daud
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  2. Pozi Milow
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  3. Rozainah Muhammad Zakaria
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Correspondence to Pozi Milow.

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Daud, S., Milow, P. & Zakaria, R.M. Analysis of Shoreline Change Trends and Adaptation of Selangor Coastline, Using Landsat Satellite Data. J Indian Soc Remote Sens 49, 1869–1878 (2021). https://doi.org/10.1007/s12524-020-01218-0

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