1. Introduction
Chile’s coastal areas have undergone significant transformations due to extreme events, the intensification of tidal waves, and anthropogenic actions that have deepened coastal erosion [
1,
2]. Currently, erosion rates in the Valparaíso region are irrefutable, with some beaches reaching −1.5 m/year and others, such as Algarrobo Bay, up to −4.5 m/year [
3]. Given this scenario, beach monitoring poses excellent challenges for quantifying and projecting changes in sandy coastlines. Therefore, rigorous monitoring is required, based on low-cost, high-quality, and accurate data, involving the participation of coastal communities as fundamental axes in data capture [
4].
Recently, the increasing accessibility of open-source tools, digital data, social networks, and the growing visibility of citizen scientists has enabled progress not only in data collection but also in processing and integrating [
4]. Currently, although satellite systems are becoming more and more robust in their spatial resolutions, access to them is costly. At the local scale in coastal areas, it is necessary to have tools that allow the continuous and sustainable monitoring of sandy coastlines, which not only allows for analysis of the inter-daily variability of coastal dynamics but also for understanding, monitoring, and quantifying the transformations caused by extreme events and anthropogenic interventions and contributing to the local management of coastal areas.
To achieve effective local monitoring, we have joined the Coastal Citizen Science (CoastSnap) program [
5]. At present, there is a need to capture coastal data that will contribute to long-term coastal protection and management. It is hoped that the body of data collected will allow for a more detailed study of the interrelationships between social uses and values and the biophysical conditions of the coastal zone [
6].
The main objective of the paper is to present the citizen science initiative for monitoring the beaches of the Valparaíso region in Chile from CoastSnap.
2. Material and Methods
2.1. Study Area
The Valparaíso region has ~180 km of coastline, of which less than 55% is sandy coastline. The beaches of the region are a national and international tourist attraction [
7]. Its coastal morphology is controlled by plate tectonics, configuring an irregular coastline where rocky cliffs, resistant to marine erosion, coexist and form prominent rocky protrusions, sandy beaches, and ancient and contemporary dune fields [
8]. Eight beaches were selected in the Valparaíso region, including tourist attractions, urban beaches, and beaches affected by plate tectonics, to monitor changes due to anthropic interventions and extreme events (
Figure 1).
2.2. Methodology
The implementation of the CoastSnap program in Chile has been carried out in the following phases: (i) selection of the installation sites and measuring of angles that will define the direction (yaw) and inclination (pitch) of the cell phone to achieve the expected visual; (ii) requests for permits from the councils to install the platforms; (iii) design, signaling, and construction of the platforms; (iv) taking of control points (v) installation of the platforms; (vi) inauguration and start-up, and (vii) extraction and processing of shoreline, from open-source codes available at “
https://github.com/Coastal-Imaging-Research-Network/CoastSnap-Toolbox. (accessed on 10 October 2023)”; other free tools can also be downloaded from the CIRN profile (
https://github.com/Coastal-Imaging-Research-Network). It is recommended to install Routines (
https://github.com/Coastal-Imaging-Research-Network/Support-Routines) (accessed on 10 October 2023)” [
6,
9]; (
Figure 2) which summarizes the workflow for the implementation of CoastSnap Chile.
Table 1 summarizes the parameters used as measurements relative to the point where the base is to be fastened.
3. Results and Discussion
CoastSnap Implementation in Chile
Eight CoastSnap platforms were installed in the Valparaíso region on beaches (Papudo, Abanico, Reñaca, Muelle Vergara, Caleta Portales, Algarrobo, Punta de Tralca and Rocas de Santo Domingo).
Figure 3 shows the locations of the CoastSnap bases.
The installation of CoastSnap bases has given communities living in coastal municipalities the opportunity to participate in the collection of high-quality data that are used by researchers and coastal managers to monitor beaches, detect critical areas, and analyze the vulnerability of the coast to coastal hazards [
6]. The datasets provided by citizens are reliable and useful for coastal management, geomorphological studies, and the analysis of changes in extreme events [
5,
6]. As of July 2023, the communities had shared more than 350 photographs through social networks and the CoastSnap app. That has allowed us to know the inter-daily variability of some beaches, the high tide lines, and the impact of a coastal storm. This contributes to the reduction in the enormous gap of data and information existing in coastal areas, which not only benefits scientific work for the understanding of hydro-morphodynamical processes but also enhances the development of indicators and tools for decision making that favor a sustainable and safe development of these areas.
Currently, beach monitoring has been carried out with conventional techniques (GPS, in situ topography) [
3,
10,
11,
12,
13] and recently with satellite images (MONCOSTA, SIMONA Coastal video monitoring). The different methods of coastal measurement are compatible and complementary to each other. For example, MONCOSTA uses optical satellite images that are affected by the coastal trough, which makes monitoring impossible when there are clouds; CoastSnap and SIMONA, the former from images shared by citizens and the latter from video monitoring, can monitor beaches when cloudy conditions do not allow it. Although the CoastSnap initiative was installed in Chile in 2022, the response has been positive on most beaches. The highest number of photos shared by the community occurred in the summer seasons, with a significant increase in photos at each of the beaches from 10 to 50 photos during the season.
Figure 4 shows the beach width results from 4 CoastSnap bases installed in the region, showing average weekly variability: (
Figure 4a) Papudo beach 40.5 m; (
Figure 4b) Caleta Portales beach 47.2 m; (
Figure 4c) Punta de Tralca beach 90.8 m; and (
Figure 4d) Rocas de Santo Domingo 43.8 m. At the time of writing, the platform installed in Algarrobo was severely damaged by the coastal storms of August 2023. The remaining platforms are only available for the summer season.
The comparison of shorelines derived from photographs allows us to establish the areas with coastal erosion problems and the volumes of sediment displaced. The results show the coastal dynamics in short periods of time; in this case, one year since the installation in Chile. The images shared by citizens contribute to the construction of data collections that provide necessary information for integrated coastal management and improve the understanding of long-term littoral dynamics, monitoring the changes in land uses, impacts of tidal waves, and the recuperation of beaches before extreme events [
6].
4. Conclusions
The CoastSnap initiative in Chile has provided a valuable data set for coastal monitoring. These data complement the monitoring carried out with satellite images, video monitoring, and in situ data. We expect that in the short term, the data from citizen science will allow us to derive relevant metrics and indicators which will allow analysis to support decision-making processes in relation to the integrated management of coastal areas.
Citizen science from the CoastSnap initiative is presented as a long-term data collection method that involves citizens, local governments, and researchers. Although the limited data collection period is approximately 1 year since the first base was installed, the data collected provides robust, accurate, and valuable information for all researchers, local governments, and citizens.
The highest participation is centred on the summer seasons. Significant broadcasting of the program is required to increase the communities’ response and consolidate a database with daily records of the coastline.
Author Contributions
Conceptualization, I.B.d.U.; methodology, I.B.d.U. and W.P.-M.; software, I.B.d.U. and N.T.-P.; validation, I.B.d.U. and W.P.-M.; formal analysis, I.B.d.U.; investigation, I.B.d.U.; resources, I.B.d.U. and W.P.-M.; data curation, I.B.d.U. and N.T.-P.; writing—original draft preparation, I.B.d.U.; writing—review and editing, W.P.-M. and I.B.d.U.; visualization, N.T.-P.; supervision, I.B.d.U.; project administration, W.P.-M.; funding acquisition, W.P.-M. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by FONDEF-IDeA I+D 2019 de National Research and Development Agency (ANID) (acronym in Spanish), project code ID19I10361.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Acknowledgments
Coastal Citizen Science (CoastSnap) program, developed by the Water Research Laboratory, University of New South Wales (UNSW), Sydney, and ANID Chile, FONDEF-IDeA I+D 2019 project code ID19I10361.
Conflicts of Interest
The authors declare no conflicts of interest.
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