Shoreline time series analysis through the Isoradiometric method: Bridging landscape evolution and coastal management
The increasing availability of remotely sensed data has enhanced our ability to monitor coastal evolution, yet extracting reliable time series for long-term analysis remains a challenge. This study evaluates the effectiveness of the Isoradiometric shoreline extraction Method in producing consistent...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-07-01
|
| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843225002651 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849423245598523392 |
|---|---|
| author | F. Caldareri N. Parrino L. Balsamo G. Dardanelli S. Todaro A. Sulli A. Maltese |
| author_facet | F. Caldareri N. Parrino L. Balsamo G. Dardanelli S. Todaro A. Sulli A. Maltese |
| author_sort | F. Caldareri |
| collection | DOAJ |
| description | The increasing availability of remotely sensed data has enhanced our ability to monitor coastal evolution, yet extracting reliable time series for long-term analysis remains a challenge. This study evaluates the effectiveness of the Isoradiometric shoreline extraction Method in producing consistent time series data across different spatial and temporal scales. We applied the method to about 150 multispectral satellite images spanning 40 years, covering two sandy beaches along Sicily’s coast in the central Mediterranean Sea. Our validation approach focused on assessing method consistency across datasets with different spatial resolutions and revisit times. By comparing Landsat and PlanetScope data, we demonstrated that while high-resolution products capture greater variability in shoreline position, lower-resolution but longer time-span observations effectively identify underlying evolutionary trends. The analysis revealed that manual digitization captures instantaneous swash positions, while the Isoradiometric Method consistently identifies stable morphological features between the low tide terrace and berm, providing more reliable indicators of actual coastal change. This multi-resolution approach proved effective in distinguishing between method-related outliers and paroxysmal events, with the latter typically detected across multiple datasets at corresponding timeframes. The systematic application of the Isoradiometric Method successfully characterized both natural variability patterns and anthropic impacts, providing quantitative baselines for interpreting Quaternary coastal processes while offering practical insights for shoreline monitoring and coastal management strategies. Moreover, we calculated the shifts’ gradient to quantify the rate of change in shoreline position. These results demonstrate: i) the necessity of creating shoreline time series as a tool for geological interpretation through the principle of actualism and as a framework for rationalizing contemporary shoreline monitoring approaches; ii) the Isoradiometric Method enables accurate Earth Observation image processing for this purpose. |
| format | Article |
| id | doaj-art-865e96d0ef1a4820bcd66db8412d3fa1 |
| institution | Kabale University |
| issn | 1569-8432 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Applied Earth Observations and Geoinformation |
| spelling | doaj-art-865e96d0ef1a4820bcd66db8412d3fa12025-08-20T03:30:43ZengElsevierInternational Journal of Applied Earth Observations and Geoinformation1569-84322025-07-0114110461810.1016/j.jag.2025.104618Shoreline time series analysis through the Isoradiometric method: Bridging landscape evolution and coastal managementF. Caldareri0N. Parrino1L. Balsamo2G. Dardanelli3S. Todaro4A. Sulli5A. Maltese6Department of Earth and Marine Sciences, University of Palermo 90123 Palermo, ItalyDepartment of Earth and Marine Sciences, University of Palermo 90123 Palermo, Italy; Istituto Nazionale di Geofisica e Vulcanologia, INGV, Rome, Italy; Corresponding author at: Department of Earth and Marine Sciences, University of Palermo, 90123 Palermo, Italy.Department of Earth and Marine Sciences, University of Palermo 90123 Palermo, Italy; Constructional and Environmental Engineering, Sapienza University of Rome, Rome, ItalyDepartment of Engineering, University of Palermo 90128 Palermo, ItalyDepartment of Earth and Marine Sciences, University of Palermo 90123 Palermo, ItalyDepartment of Earth and Marine Sciences, University of Palermo 90123 Palermo, Italy; Istituto Nazionale di Geofisica e Vulcanologia, INGV, Rome, ItalyDepartment of Engineering, University of Palermo 90128 Palermo, ItalyThe increasing availability of remotely sensed data has enhanced our ability to monitor coastal evolution, yet extracting reliable time series for long-term analysis remains a challenge. This study evaluates the effectiveness of the Isoradiometric shoreline extraction Method in producing consistent time series data across different spatial and temporal scales. We applied the method to about 150 multispectral satellite images spanning 40 years, covering two sandy beaches along Sicily’s coast in the central Mediterranean Sea. Our validation approach focused on assessing method consistency across datasets with different spatial resolutions and revisit times. By comparing Landsat and PlanetScope data, we demonstrated that while high-resolution products capture greater variability in shoreline position, lower-resolution but longer time-span observations effectively identify underlying evolutionary trends. The analysis revealed that manual digitization captures instantaneous swash positions, while the Isoradiometric Method consistently identifies stable morphological features between the low tide terrace and berm, providing more reliable indicators of actual coastal change. This multi-resolution approach proved effective in distinguishing between method-related outliers and paroxysmal events, with the latter typically detected across multiple datasets at corresponding timeframes. The systematic application of the Isoradiometric Method successfully characterized both natural variability patterns and anthropic impacts, providing quantitative baselines for interpreting Quaternary coastal processes while offering practical insights for shoreline monitoring and coastal management strategies. Moreover, we calculated the shifts’ gradient to quantify the rate of change in shoreline position. These results demonstrate: i) the necessity of creating shoreline time series as a tool for geological interpretation through the principle of actualism and as a framework for rationalizing contemporary shoreline monitoring approaches; ii) the Isoradiometric Method enables accurate Earth Observation image processing for this purpose.http://www.sciencedirect.com/science/article/pii/S1569843225002651Landscape evolutionShoreline dynamicsIsoradiometric methodTime series |
| spellingShingle | F. Caldareri N. Parrino L. Balsamo G. Dardanelli S. Todaro A. Sulli A. Maltese Shoreline time series analysis through the Isoradiometric method: Bridging landscape evolution and coastal management International Journal of Applied Earth Observations and Geoinformation Landscape evolution Shoreline dynamics Isoradiometric method Time series |
| title | Shoreline time series analysis through the Isoradiometric method: Bridging landscape evolution and coastal management |
| title_full | Shoreline time series analysis through the Isoradiometric method: Bridging landscape evolution and coastal management |
| title_fullStr | Shoreline time series analysis through the Isoradiometric method: Bridging landscape evolution and coastal management |
| title_full_unstemmed | Shoreline time series analysis through the Isoradiometric method: Bridging landscape evolution and coastal management |
| title_short | Shoreline time series analysis through the Isoradiometric method: Bridging landscape evolution and coastal management |
| title_sort | shoreline time series analysis through the isoradiometric method bridging landscape evolution and coastal management |
| topic | Landscape evolution Shoreline dynamics Isoradiometric method Time series |
| url | http://www.sciencedirect.com/science/article/pii/S1569843225002651 |
| work_keys_str_mv | AT fcaldareri shorelinetimeseriesanalysisthroughtheisoradiometricmethodbridginglandscapeevolutionandcoastalmanagement AT nparrino shorelinetimeseriesanalysisthroughtheisoradiometricmethodbridginglandscapeevolutionandcoastalmanagement AT lbalsamo shorelinetimeseriesanalysisthroughtheisoradiometricmethodbridginglandscapeevolutionandcoastalmanagement AT gdardanelli shorelinetimeseriesanalysisthroughtheisoradiometricmethodbridginglandscapeevolutionandcoastalmanagement AT stodaro shorelinetimeseriesanalysisthroughtheisoradiometricmethodbridginglandscapeevolutionandcoastalmanagement AT asulli shorelinetimeseriesanalysisthroughtheisoradiometricmethodbridginglandscapeevolutionandcoastalmanagement AT amaltese shorelinetimeseriesanalysisthroughtheisoradiometricmethodbridginglandscapeevolutionandcoastalmanagement |