An open-source geospatial framework for beach litter monitoring
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An open-source geospatial framework for beach litter monitoring Jessica L. Schattschneider & Nicholas W. Daudt & Mariana P. S. Mattos & Jarbas Bonetti & Nelson Rangel-Buitrago
Received: 16 March 2020 / Accepted: 10 September 2020 # Springer Nature Switzerland AG 2020
N. W. Daudt Programa de Pós-Graduação em Oceanografia Biológica, Instituto de Oceanografia, Universidade Federal do Rio Grande (FURG), Rio Grande, RS, Brazil
(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.
N. W. Daudt Museu de Ciências Naturais (MUCIN), Universidade Federal do Rio Grande do Sul (UFRGS), Imbé, RS, Brazil
Keywords Environmental monitoring . FOSS . GIS . Marine debris . Plastic . Polluting sources
Abstract Here, we present a framework for a beach litter monitoring process, based on free and opensource software (FOSS), which allows customization for any sampling design. The framework was developed by means of a GIS project (QGIS), a GIS collector Electronic supplementary material The online version of this article (https://doi.org/10.1007/s10661-020-08602-w) contains supplementary material, which is available to authorized users. J. L. Schattschneider : J. Bonetti Laboratório de Oceanografia Costeira, Centro de Ciências Físicas e Matemáticas, Universidade Federal de Santa Catarina (UFSC), Florianópolis, SC, Brazil J. L. Schattschneider (*) : M. P. S. Mattos : J. Bonetti Programa de Pós-Graduação em Oceanografia, Centro de Ciências Físicas e Matemáticas, Universidade Federal de Santa Catarina (UFSC), Florianópolis, SC, Brazil e-mail: [email protected]
M. P. S. Mattos Laboratório de Gestão Costeira Integrada, Centro de Ciências Físicas e Matemáticas, Universidade Federal de Santa Catarina (UFSC), Florianópolis, SC, Brazil N. Rangel-Buitrago Departamentos de Física y Biología, Facultad de Ciencias Básicas, Universidad del Atlántico, Barranquilla, Atlántico, Colombia
Introduction Beach litter monitoring schemes
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