Historical Coast Snaps: Using Centennial Imagery to Track Shoreline Change

Understanding long-term coastal evolution requires historical data, yet accessing reliable information becomes increasingly challenging for extended periods. While vertical aerial imagery has been extensively used in coastal studies since the mid-20th century, and satellite-derived shoreline measurements are now revolutionizing shoreline change studies, ground-based images, such as historical photographs and picture postcards, provide an alternative source of shoreline data for earlier periods when other datasets are scarce. Despite their frequent use for documenting qualitative morphological changes, these valuable historical data sources have rarely supported quantitative assessments of coastal evolution. This study demonstrates the potential of historical ground-oblique images for quantitatively assessing shoreline position and long-term change. Using Conceição-Duquesa Beach (Cascais, Portugal) as a case study, we analyze shoreline evolution over 92 years by applying a novel methodology to historical photographs and postcards. The approach combines image registration, shoreline detection, coordinate transformation, and rectification while accounting for positional uncertainty. Results reveal a significant counterclockwise rotation of the shoreline between the 20th and 21st centuries, exceeding estimated uncertainty thresholds. This study highlights the feasibility of using historical ground-based imagery to reconstruct shoreline positions and quantify long-term coastal change. The methodology is straightforward, adaptable, and offers a promising avenue for extending the temporal range of shoreline datasets, advancing our understanding of coastal evolution.

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Publication Details

Journal
Remote Sensing
Published
2025-04-08
DOI
https://doi.org/10.3390/rs17081326
Citations
1
Primary Topic
Coastal and Marine Dynamics
Type
article
Field-Weighted Citation Impact
1.67
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article

Historical Coast Snaps: Using Centennial Imagery to Track Shoreline Change

Cristina Ponte Lira, Amy E. East, Rui Taborda, Fátima Valverde
1 citations
Remote Sensing
Coastal and Marine Dynamics
1.67
article

Historical Coast Snaps: Using Centennial Imagery to Track Shoreline Change

Cristina Ponte Lira, Amy E. East, Rui Taborda, Fátima Valverde
article en
1 citations

Abstract

Understanding long-term coastal evolution requires historical data, yet accessing reliable information becomes increasingly challenging for extended periods. While vertical aerial imagery has been extensively used in coastal studies since the mid-20th century, and satellite-derived shoreline measurements are now revolutionizing shoreline change studies, ground-based images, such as historical photographs and picture postcards, provide an alternative source of shoreline data for earlier periods when other datasets are scarce. Despite their frequent use for documenting qualitative morphological changes, these valuable historical data sources have rarely supported quantitative assessments of coastal evolution. This study demonstrates the potential of historical ground-oblique images for quantitatively assessing shoreline position and long-term change. Using Conceição-Duquesa Beach (Cascais, Portugal) as a case study, we analyze shoreline evolution over 92 years by applying a novel methodology to historical photographs and postcards. The approach combines image registration, shoreline detection, coordinate transformation, and rectification while accounting for positional uncertainty. Results reveal a significant counterclockwise rotation of the shoreline between the 20th and 21st centuries, exceeding estimated uncertainty thresholds. This study highlights the feasibility of using historical ground-based imagery to reconstruct shoreline positions and quantify long-term coastal change. The methodology is straightforward, adaptable, and offers a promising avenue for extending the temporal range of shoreline datasets, advancing our understanding of coastal evolution.

Remote SensingVol. 17(8)
United States Geological Survey (US), University of Lisbon (PT), Portuguese Sea and Atmosphere Institute (PT), Pacific Science Center (US), Portuguese Environment Agency (PT)
Openalex Percentile: Top 20%
Coastal and Marine Dynamics
1.67
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