An open-source geospatial framework for beach litter monitoring.

Jessica L Schattschneider, Nicholas W Daudt, Mariana P S Mattos, Jarbas Bonetti, Nelson Rangel-Buitrago
Author Information
  1. Jessica L Schattschneider: Laboratório de Oceanografia Costeira, Centro de Ciências Físicas e Matemáticas, Universidade Federal de Santa Catarina (UFSC), Florianópolis, SC, Brazil. jessica.leiria@gmail.com. ORCID
  2. Nicholas W Daudt: Programa de Pós-Graduação em Oceanografia Biológica, Instituto de Oceanografia, Universidade Federal do Rio Grande (FURG), Rio Grande, RS, Brazil. ORCID
  3. Mariana P S Mattos: Programa de Pós-Graduação em Oceanografia, Centro de Ciências Físicas e Matemáticas, Universidade Federal de Santa Catarina (UFSC), Florianópolis, SC, Brazil. ORCID
  4. Jarbas Bonetti: Laboratório de Oceanografia Costeira, Centro de Ciências Físicas e Matemáticas, Universidade Federal de Santa Catarina (UFSC), Florianópolis, SC, Brazil. ORCID
  5. Nelson Rangel-Buitrago: Departamentos de Física y Biología, Facultad de Ciencias Básicas, Universidad del Atlántico, Barranquilla, Atlántico, Colombia. ORCID

Abstract

Here, we present a framework for a beach litter monitoring process, based on free and open-source software (FOSS), which allows customization for any sampling design. The framework was developed by means of a GIS project (QGIS), a GIS collector (QField), and an R code, allowing further adjustments according to the area to be surveyed and research questions. The aim is to improve data collection, accessibility, and interoperability, as well as to help to fill the currently existing gap between fieldwork and data analysis, preventing typos and allowing better data processing. Therefore, it is expected to take less than an hour from ending fieldwork to obtaining up-to-date products. To test the developed open-source geospatial framework, it was applied in different sectors and dates on an important southern Brazilian touristic beach. Results obtained from the open-source geospatial framework application produce baseline information on beach litter issues, such as amounts, sources, and spatial and temporal patterns. Adoption of the framework can facilitate data collection by local and regional stakeholders, and the results obtained from it can be applied to support management strategies. For researchers, it produces spatialized data for each item in an already tidy format, which can be used for robust and complex models. A series of supplementary files support reproducibility and provide a guide to future users.

Keywords

MeSH Term

Bathing Beaches
Brazil
Environmental Monitoring
Plastics
Reproducibility of Results
Waste Products

Chemicals

Plastics
Waste Products

Word Cloud

Created with Highcharts 10.0.0frameworkdatabeachopen-sourcelittermonitoringGISgeospatialcanFOSSdevelopedallowingcollectionfieldworkappliedobtainedsourcessupportpresentprocessbasedfreesoftwareallowscustomizationsamplingdesignmeansprojectQGIScollectorQFieldRcodeadjustmentsaccordingareasurveyedresearchquestionsaimimproveaccessibilityinteroperabilitywellhelpfillcurrentlyexistinggapanalysispreventingtyposbetterprocessingThereforeexpectedtakelesshourendingobtainingup-to-dateproductstestdifferentsectorsdatesimportantsouthernBraziliantouristicResultsapplicationproducebaselineinformationissuesamountsspatialtemporalpatternsAdoptionfacilitatelocalregionalstakeholdersresultsmanagementstrategiesresearchersproducesspatializeditemalreadytidyformatusedrobustcomplexmodelsseriessupplementaryfilesreproducibilityprovideguidefutureusersEnvironmentalMarinedebrisPlasticPolluting

Similar Articles

Cited By

No available data.