Coastal Erosion Dynamics in Nakhon Si Thammarat Province, Thailand: A Decadal Analysis (1990–2025)

This study develops and applies a reproducible remote-sensing workflow to analyze coastal erosion and accretion dynamics in Nakhon Si Thammarat Province, Thailand, over the period 1990–2025. Leveraging Landsat 5, 8, and 9 archives on the Google Earth Engine (GEE) platform, the method integrates the Automated Water Extraction Index (AWEI) with Otsu thresholding in a semi-automated pipeline for consistent coastline detection across sandy, muddy, and mangrove-dominated coasts. This approach minimizes subjectivity in threshold selection, harmonizes data across sensors, and allows large-scale, long-term monitoring with reproducibility. Results reveal severe erosion in Pak Phanang Bay and Hua Sai (–3 to –5 m/yr, with localized extremes exceeding –30 m/yr), moderate retreat along southern muddy coasts, and notable accretion at Laem Talumphuk (+32.63 m/yr) and river mouths due to sediment deposition. The workflow not only highlights the drivers of change—monsoon storms, sea-level rise, aquaculture expansion, and coastal engineering—but also demonstrates the capacity of GEE-based methods to provide actionable, repeatable insights for coastal management. This methodological innovation offers a scalable template for monitoring vulnerable coastlines globally, supporting the design of adaptive, evidence-based strategies in the face of accelerating sea-level rise and intensifying climate impacts.

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Publication Details

Journal
International Journal of Geoinformatics
Published
2025-10-02
DOI
https://doi.org/10.52939/ijg.v21i9.4451
Primary Topic
Coastal and Marine Management
Type
article
Field-Weighted Citation Impact
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article

Coastal Erosion Dynamics in Nakhon Si Thammarat Province, Thailand: A Decadal Analysis (1990–2025)

International Journal of Geoinformatics
Coastal and Marine Management
article

Coastal Erosion Dynamics in Nakhon Si Thammarat Province, Thailand: A Decadal Analysis (1990–2025)

article en

Abstract

This study develops and applies a reproducible remote-sensing workflow to analyze coastal erosion and accretion dynamics in Nakhon Si Thammarat Province, Thailand, over the period 1990–2025. Leveraging Landsat 5, 8, and 9 archives on the Google Earth Engine (GEE) platform, the method integrates the Automated Water Extraction Index (AWEI) with Otsu thresholding in a semi-automated pipeline for consistent coastline detection across sandy, muddy, and mangrove-dominated coasts. This approach minimizes subjectivity in threshold selection, harmonizes data across sensors, and allows large-scale, long-term monitoring with reproducibility. Results reveal severe erosion in Pak Phanang Bay and Hua Sai (–3 to –5 m/yr, with localized extremes exceeding –30 m/yr), moderate retreat along southern muddy coasts, and notable accretion at Laem Talumphuk (+32.63 m/yr) and river mouths due to sediment deposition. The workflow not only highlights the drivers of change—monsoon storms, sea-level rise, aquaculture expansion, and coastal engineering—but also demonstrates the capacity of GEE-based methods to provide actionable, repeatable insights for coastal management. This methodological innovation offers a scalable template for monitoring vulnerable coastlines globally, supporting the design of adaptive, evidence-based strategies in the face of accelerating sea-level rise and intensifying climate impacts.

International Journal of Geoinformatics
Mahidol University (TH)
Openalex Percentile: Top 63%
Coastal and Marine Management
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