Published April 14, 2023 | Version v1.0

SCShores: time-series of shorelines from Spanish Sandy beaches from citizen-science monitoring program.

  • 1. Centro de Investigación Mariña, Universidade de Vigo, XM1, 36310 Vigo, España
  • 2. Beach Monitoring Facility ICTS SOCIB, A-07121 Palma de Mallorca, España
  • 1. 1Centro de Investigación Mariña, Universidade de Vigo, XM1, 36310 Vigo, España
  • 2. Beach Monitoring Facility ICTS SOCIB, A-07121 Palma de Mallorca, España
  • 3. Department of Applied Physics, Faculty of Marine and Environmental Sciences, University of Cádiz, 11510 Puerto Real, Cádiz, Spain
  • 4. Departamento Ciencias de la Tierra, Facultad de Ciencias del Mar y Ambientales, Universidad de Cádiz, 11510 Puerto Real, Cádiz, España
  • 5. Centro de Investigación Mariña, Universidade de Vigo, XM1, 36310 Vigo, España

Description

This repository contains 5 years of sandy beaches shorelines deriverd from a citizen-science monitoring program in the Spanish coast. The methodology and the dataset are described in:

González-Villanueva, R., Soriano-González, J., Alejo, I., Criado-Sudau, F., Plomaritis, T., Fernàndez-Mora, À., Benavente, J., Del Río, L., Nombela, M. Á., and Sánchez-García, E.: SCShores: a comprehensive shoreline dataset of Spanish sandy beaches from a citizen-science monitoring programme, Earth System Science Data. V. 15, 4613-4629 , https://doi.org/10.5194/essd-15-4613-2023, 2023. 

The shoreline dataset is provided in 1 GEOJSON file: SCShores.geojson. This dataset covers five sandy beaches located on the Atlantic and Mediterranean coasts of Spain where CoastSnap stations were available, and it includes a total of 1721 shorelines. The coordinate system for the geospatial layer is WGS84.

  • SCShores.geojson: this layer contains the sandy shorelines . Each feature in this layer is a multipoint with the following attributtes:
    • site: CoastSnap station name id, e.g. agrelo, samarador, cadiz, ….
    • date: date and time of the shoreline, yyyyy-mm-dd hh:mm:ss
    • timezone: Coordinated Universal Time, UTC
    • timestampQuality: quality flag indicating the confidence in the date-time indicated by the image provider, e.g. 1, 2
    • imageSource: source of the original image from which the shoreline has been derived, e.g. Instagram, Twitter, Facebook, Email, CoastSnapApp
    • elevation_m: same as Z coordinate, defined by the observed tide and the tidal offset, in meters, Tide+tide offset
    • verticalDatum: mean sea level in Alicante, which is considered the zero topographic reference in the Spanish territory, NMMA
    • geometry: type of geometry used in the file, MultiPoint
    • coordinates: Geographic WGS84 coordinates for each point in the geometry, longitude, latitude, Z

 

Notes

The authors are grateful for the collaboration and support of the local Government of Bueu and the Ministry of Environment and Territory of the Balearic Islands, as well as the funding provided by the European Funds for Balearic Islands, University, and Culture. They also extend their gratitude to the Es Trenc-Salobrar de Campos Maritime-Terrestrial Natural Park and Mondragó Natural Park, and the Atlantic Island Galicia Maritime-Terrestial National Park along with their dedicated technical staff. This work is a contribution to IGCP Project 725 'Forecasting Coastal Change'; CRUNCH project (FEDER-UCA18-107062), funded by EU (2014-2020 ERDF Operational Programme) and by the Department of Economic Transformation, Industry, Knowledge, and Universities of the Regional Government of Andalusia; CRISIS project (PID2019-109143RB-I00), funded by the Spanish Ministry of Science and Innovation and the EU; and to Andalusian PAI research group RNM-328. This work received the support from the Spanish Foundation for Science and Technology (FECYT) through the project "Centinelas de la Costa" (FCT-20-15835). This work has received financial support from the Xunta de Galicia (Centro de Investigación de Galicia accreditation 2019-2022) and the European Union (European Regional Development Fund - ERDF). The installation of Cadiz station was funded by University of Cadiz through project PR2019-022.

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SCShores_v1.0.0.geojson

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Additional details

Related works

Is supplement to
Data paper: 10.5194/essd-15-4613-2023 (DOI)