An open-source geospatial framework for beach litter monitoring

Schattschneider, Jessica; Daudt, Nicholas W.; Mattos, Mariana P S; Bonetti, Jarbas; Rangel-Buitrago, Nelson

doi:10.1007/s10661-020-08602-w

Cited by 10 publications

(4 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The free and open source GIS application QField, version 1.9.0 Taivaskero [16], together with the QFieldSync plugin for QGIS, is employed to enable a structured and georeferenced field data collection through MDs. Developed by opengis.ch and released under the GNU Public License (GPL) Version 2 or above, QField and QFieldSync are increasingly being adopted in recent years for field data collection within different fields of application [17][18][19][20]. Among the wide variety of recently developed FOSS solutions for field data collection, QField is chosen due to its high compatibility with QGIS.…”

Section: Methodsmentioning

confidence: 99%

Geospatial Information Technologies for Mobile Collaborative Geological Mapping: The Italian CARG Project Case Study

Gencarelli

Voltolina

Hammouti

et al. 2022

IJGI

View full text Add to dashboard Cite

A collaborative open-source IT infrastructure is designed and implemented to optimize the process of geological field data collection, integration, validation, and sharing. Firstly, field data collection is carried out by multiple users using free and open-source GIS-based tools for mobile devices according to a predefined database structure; then, data integration is automatically performed in a central server, where the collected geological information is stored and validated; finally, data are shared over the Internet, providing users with up-to-date information. The IT infrastructure is currently being employed to accomplish surveys for the realization of the “Brescia” geological map within the New Geological Map of Italy, scale 1:50.000 (CARG Project). Users are only required to run the field data collection application on their mobile devices, add different geometric features to predefined thematic layers and fill in the dialogue forms with the required information to store the new structured and georeferenced data in the central database. The major advantage of the proposed IT infrastructure consists of guaranteeing the operational continuity between field surveys and the finalization of geological or geothematic maps leveraging field data collection tools that are operational both online and offline to ensure the overall system resilience.

show abstract

Section: Methodsmentioning

confidence: 99%

Geospatial Information Technologies for Mobile Collaborative Geological Mapping: The Italian CARG Project Case Study

Gencarelli

Voltolina

Hammouti

et al. 2022

IJGI

View full text Add to dashboard Cite

show abstract

“…Most (73.9%) publication records acknowledged the citizen scientists, but 23.7% did not have an explicit thank-you note to the citizen scientists for their contributions to the research. In 2.4%, acknowledgement to citizen scientists was not applicable: one search result was a paper that presented a software (Schattschneider et al, 2020) and the other reported the results of interviews with CS project's coordinators (Rambonnet et al, 2019).…”

Section: Citizen Scientists' Acknowledgementmentioning

confidence: 99%

Citizen science in marine litter research: A review

Kawabe

Ghilardi-Lopes

Turra

et al. 2022

Marine Pollution Bulletin

View full text Add to dashboard Cite

“…Marine litter is a theme to explore the potentialities of the free and open-source software (FOSS); R and Python are programming languages that have packages available to PANGAEA, KNB, and OBIS. A study in Brazil developed an open-source geospatial framework for beach litter monitoring using R and QGIS (Schattschneider et al, 2020); initiatives in this context can grow, improve, and/or can be easily used if there are marine litter data available to perform tests, thus improving sampling methods or base some management decisions. The available marine litter data in repositories can enhance the usability of open-source tools and framework analysis, such as proposed by Schattschneider et al (2020).…”

Section: Data Usabilitymentioning

confidence: 99%

Where are Brazil's marine litter scientific data?

2022

View full text Add to dashboard Cite

The environmental sciences work with datasets every day. Recently, data sharing has become a more familiar activity for academic researchers. Records of marine litter are scarce and generally difficult to find worldwide, especially in databases. This work reviews and analyzes data repositories to identify the existence of datasets related to marine litter in Brazil. Only one global repository specializing in marine litter was found, and it is in the early stages of operation. Only two datasets about marine litter in Brazil were found in the generalist repository Figshare that do not follow all the FAIR principles (Findable, Accessible, Interoperable, and Reusable) for data sharing. A few initiatives are being developed aiming to collect and share marine litter data, but only one of them (Our Blue Hands) is already in place and uses a standardized, replicable method, and aims to share the data by design. Our work identified interoperability as the main point to be tackled within our context. In the UN Decade of Ocean Science for Sustainable Development (2021–2030), it is essential that repositories are created, improved, and encouraged to address the specific needs of marine litter data-sharing and researchers' behavioral shift to start sharing the data already collected. Data sharing not only allows for the integrated vision of the academic community but can also contribute to public policies, helping decision-makers and encouraging a more sustainable science regarding financial and natural resource use.

show abstract

An open-source geospatial framework for beach litter monitoring

Cited by 10 publications

References 32 publications

Geospatial Information Technologies for Mobile Collaborative Geological Mapping: The Italian CARG Project Case Study

Geospatial Information Technologies for Mobile Collaborative Geological Mapping: The Italian CARG Project Case Study

Citizen science in marine litter research: A review

Where are Brazil's marine litter scientific data?

Contact Info

Product

Resources

About