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End Point Rate Tool for QGIS (EPR4Q)

Validation Using DSAS and Ambur

Bibliographic Data

ID22033828
AuthorsLucas Terres de Lima (0000-0003-0620-0655, University of Aveiro, corresponding author), Sandra Fernández-Fernández (0000-0001-7664-9525, University of Aveiro), Jean Marcel De Almeida Espinoza (0000-0002-7933-2897, Instituto Federal de Educação, Ciência e Tecnologia de Santa Catarina), Miguel Guia Albuquerque (0000-0002-2063-492X, Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul), Miguel da Guia Albuquerque (IFRS—Federal Institute of Rio Grande do Sul, Campus Rio Grande, Department of Geoprocessing, 96201-460 Rio Grande, Rio Grande do Sul, Brazil), Cristina Bernardes (0000-0003-2105-4908, University of Aveiro)
Year2021
Volume10
Issue3
Pages162
Publication date2021-03-12
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi10030162
OpenAlexW3138335943
LanguageEN
References cited54

This paper presents the validation of the End Point Rate (EPR) tool for QGIS (EPR4Q), a tool built-in QGIS graphical modeler for calculating the shoreline change with the end point rate method. The EPR4Q tries to fill the gaps in user-friendly and free open-source tools for shoreline analysis in a geographic information system environment since the most used software—Digital Shoreline Analysis System (DSAS)—although being a free extension, it is created for commercial software. Additionally, the best free, open-source option to calculate EPR is called Analyzing Moving Boundaries Using R (AMBUR); since it is a robust and powerful tool, the complexity can restrict the accessibility and simple usage. The validation methodology consists of applying the EPR4Q, DSAS, and AMBUR with different types of shorelines found in nature, extracted from the US Geological Survey Open-File. The obtained results of each tool were compared with Pearson’s correlation coefficient. The validation results indicate that the EPR4Q tool acquired high correlation values with DSAS and AMBUR, reaching a coefficient of 0.98 to 1.00 on linear, extensive, and non-extensive shorelines, proving that the EPR4Q tool is ready to be freely used by the academic, scientific, engineering, and coastal managers communities worldwide

Correlation coefficient · End point · Open source · Open source software · Operating system · Real-time computing · Shore · Coastal and Marine Dynamics · Coastal and Marine Management · Coastal wetland ecosystem dynamics · Computer Science · Mathematics · Geology · Software

Highly citedNo

Tools

Open DOIOpen Access
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