the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
SCShores: A comprehensive shoreline dataset of Spanish sandy beaches from a citizen-science monitoring program
Rita González-Villanueva
Jesús Soriano-González
Irene Alejo
Francisco Criado-Sudau
Theocharis Plomaritis
Àngels Fernàndez-Mora
Javier Benavente
Laura Del Río
Miguel Ángel Nombela
Elena Sánchez-García
Abstract. Sandy beaches are ever-changing environments, as they experience constant reshaping due to the external forces of tides, waves, and winds. The shoreline position, which marks the boundary between water and sand, holds great significance in the fields of coastal geomorphology, coastal engineering, and coastal management. It is crucial to understand how beaches evolve over time, but high-resolution shoreline datasets are scarce, and establishing monitoring programs can be costly. To address this, we present a new dataset of shorelines for five Spanish sandy beaches, located in contrasting environments, derived from the CoastSnap citizen-science shoreline monitoring program. The use of citizen science is an increasingly strong current within environmental projects that allows both community awareness and the collection of large amounts of data that are otherwise difficult to obtain. This dataset includes a total of 1721 individual shorelines composed of points every 3 m-spaced points alongshore, accompanied by additional attributes, such as elevation value and acquisition date, allowing for easy comparisons. Our dataset offers a unique perspective on how citizen science can provide reliable datasets that are useful for management and geomorphological studies. The shoreline dataset, along with relevant metadata, is available at https://doi.org/10.5281/zenodo.8056415 (González-Villanueva et al., 2023b).
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Rita González-Villanueva et al.
Status: closed
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RC1: 'Comment on essd-2023-230', Anonymous Referee #1, 19 Aug 2023
The manuscript entitled SC Shores: A comprehensive shoreline dataset of Spanish sandy beaches from a citizen-science monitoring program.
Main objective of the present manuscript is to introduce SC Shores, a Spain Citizen science Shoreline dataset of geographically corrected shorelines obtained for five stations of the Spanish Coast Snap network. The authors tried to offers a comprehensive description of the process involved in building the SC Shores dataset, along with its limitations and the potential applications for different end-users. SC Shores v.1.0 is designed to be analyzed easily using data science tools and geographic information systems (GIS) software.. The manuscript is well organized and well written but need some modification in order to be suitable for publication. The present manuscript requires corrections.
- Would you clarify the rectification process (transform the image from pixel coordinates u, v to world metric coordinates X,Y,Z) in the data processing section.
- The reviewer recommends calibrating your model with high-resolution temporal satellite images for at least two of the studied five coasts (one for the meso-tidal coasts and one for the micro-tidal coasts). It is favorable to do this calibration for the Cadiz site due to shortage of the data during most of the year.
- There are several factors affecting the coastal shorelines should be take in consideration within the produced model (especially in the micro-tide shorelines) e.g. waves, winds, thunder rainfalls etc...
- With respect to the figures 1, 4 and 7; the reviewer recommends to enlarge the images in order to clarify its content.
Citation: https://doi.org/10.5194/essd-2023-230-RC1 -
AC1: 'Reply on RC1', Rita Gonzalez Villanueva, 25 Aug 2023
The authors would like to sincerely thank the Reviewer for the time on reading and reviewing the manuscript and the suggestions provided to improve the manuscript readability and usability of the SCShores database.
Please see the summary of point-by-point changes for your review in the attachment. We hope that the changes to the main manuscript and figures meet the expected standards.
- Would you clarify the rectification process (transform the image from pixel coordinates u, v to world metric coordinates X,Y,Z) in the data processing section.
-
RC2: 'Comment on essd-2023-230', Anonymous Referee #2, 28 Aug 2023
Dear authors,
I have read your article and I find it very interesting. I have only a few minor comments.
In the description section of the monitoring stations, can you report if the support for the phone is anti-vibration (in case of wind)? If not, are the images acquired with wind then eliminated from the dataset?
In the section of the image processing. could you indicate whether these GCPs are located in "fixed" positions/locations(e.g. rocky outcrops, man-made structures, etc.)
Please, could you better describe the procedure for calculating the tidal offsets. In my opinion in not clear how the correction takes place.
In the section of potential application, can the presented tool be also useful for measuring and characterize in morphology the banquette accumulations (Posidonia berms) along Mediterranean beaches? If the authors suppose that the presented tool are suitable for that, a brief description may be provided.
Citation: https://doi.org/10.5194/essd-2023-230-RC2 -
AC2: 'Reply on RC2', Rita Gonzalez Villanueva, 28 Aug 2023
The authors would like to sincerely thank Lukas Jonkers for the time on reading and reviewing the manuscript and the suggestions provided to improve the manuscript readability and usability of the SCShores database.
Please see the summary of point-by-point changes for your review in the attachment. We hope that the changes to the main manuscript meet the expected standards.
-
AC2: 'Reply on RC2', Rita Gonzalez Villanueva, 28 Aug 2023
Status: closed
-
RC1: 'Comment on essd-2023-230', Anonymous Referee #1, 19 Aug 2023
The manuscript entitled SC Shores: A comprehensive shoreline dataset of Spanish sandy beaches from a citizen-science monitoring program.
Main objective of the present manuscript is to introduce SC Shores, a Spain Citizen science Shoreline dataset of geographically corrected shorelines obtained for five stations of the Spanish Coast Snap network. The authors tried to offers a comprehensive description of the process involved in building the SC Shores dataset, along with its limitations and the potential applications for different end-users. SC Shores v.1.0 is designed to be analyzed easily using data science tools and geographic information systems (GIS) software.. The manuscript is well organized and well written but need some modification in order to be suitable for publication. The present manuscript requires corrections.
- Would you clarify the rectification process (transform the image from pixel coordinates u, v to world metric coordinates X,Y,Z) in the data processing section.
- The reviewer recommends calibrating your model with high-resolution temporal satellite images for at least two of the studied five coasts (one for the meso-tidal coasts and one for the micro-tidal coasts). It is favorable to do this calibration for the Cadiz site due to shortage of the data during most of the year.
- There are several factors affecting the coastal shorelines should be take in consideration within the produced model (especially in the micro-tide shorelines) e.g. waves, winds, thunder rainfalls etc...
- With respect to the figures 1, 4 and 7; the reviewer recommends to enlarge the images in order to clarify its content.
Citation: https://doi.org/10.5194/essd-2023-230-RC1 -
AC1: 'Reply on RC1', Rita Gonzalez Villanueva, 25 Aug 2023
The authors would like to sincerely thank the Reviewer for the time on reading and reviewing the manuscript and the suggestions provided to improve the manuscript readability and usability of the SCShores database.
Please see the summary of point-by-point changes for your review in the attachment. We hope that the changes to the main manuscript and figures meet the expected standards.
- Would you clarify the rectification process (transform the image from pixel coordinates u, v to world metric coordinates X,Y,Z) in the data processing section.
-
RC2: 'Comment on essd-2023-230', Anonymous Referee #2, 28 Aug 2023
Dear authors,
I have read your article and I find it very interesting. I have only a few minor comments.
In the description section of the monitoring stations, can you report if the support for the phone is anti-vibration (in case of wind)? If not, are the images acquired with wind then eliminated from the dataset?
In the section of the image processing. could you indicate whether these GCPs are located in "fixed" positions/locations(e.g. rocky outcrops, man-made structures, etc.)
Please, could you better describe the procedure for calculating the tidal offsets. In my opinion in not clear how the correction takes place.
In the section of potential application, can the presented tool be also useful for measuring and characterize in morphology the banquette accumulations (Posidonia berms) along Mediterranean beaches? If the authors suppose that the presented tool are suitable for that, a brief description may be provided.
Citation: https://doi.org/10.5194/essd-2023-230-RC2 -
AC2: 'Reply on RC2', Rita Gonzalez Villanueva, 28 Aug 2023
The authors would like to sincerely thank Lukas Jonkers for the time on reading and reviewing the manuscript and the suggestions provided to improve the manuscript readability and usability of the SCShores database.
Please see the summary of point-by-point changes for your review in the attachment. We hope that the changes to the main manuscript meet the expected standards.
-
AC2: 'Reply on RC2', Rita Gonzalez Villanueva, 28 Aug 2023
Rita González-Villanueva et al.
Data sets
SCShores: time-series of shorelines from Spanish Sandy beaches from citizen-science monitoring program. Rita González-Villanueva, Elena Sánchez-García, & Jesús Soriano-González https://doi.org/10.5281/zenodo.8056415
Rita González-Villanueva et al.
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