QGIS Shoreline Change Analysis Tool (QSCAT): A fast, open-source shoreline change analysis plugin for QGIS

Coastal erosion poses a significant threat to most coastal communities. This necessitates a better understanding of coastal erosion dynamics, and thus, shoreline change analysis (SCA) tools would be handy. However, many available tools require commercial softwares and/or a faster computing platform....

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Bibliographic Details
Published inEnvironmental modelling & software : with environment data news Vol. 184; p. 106263
Main Authors Facun, Louis Philippe, Sta Maria, Ma. Yvainne, Ducao, Rodel, Clemente, Jamela Jirah, Carmelo, Ellen Mae, Maon, Angelo, Malaya, Ara Rivina, Cuison, Floribeth, Siringan, Fernando
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.01.2025
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ISSN1364-8152
DOI10.1016/j.envsoft.2024.106263

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Summary:Coastal erosion poses a significant threat to most coastal communities. This necessitates a better understanding of coastal erosion dynamics, and thus, shoreline change analysis (SCA) tools would be handy. However, many available tools require commercial softwares and/or a faster computing platform. To address these issues, QGIS’ Shoreline Change Analysis Tool (QSCAT), a new QGIS plugin built with Python, was developed. QSCAT can perform transect-based and area-based analyses. The transect-based algorithm of QSCAT was patterned after the Digital Shoreline Analysis System (DSAS). Whereas, the area-based algorithm is similar to the change polygon method. Running QSCAT and DSAS together demonstrated that QSCAT generated the same results as DSAS but its overall speed is 8 times faster than DSAS. QSCAT can estimate beach area loss and length of eroding shorelines, which can identify erosion hotspots. These features attest to QSCAT’s potential as a more efficient and an equally reliable SCA tool. •For SCA, QSCAT is an equally reliable but relatively faster alternative to DSAS.•QSCAT can perform both transect-based and area-based analyses.•Development as a QGIS plugin enhances accessibility and adoption of QSCAT.
ISSN:1364-8152
DOI:10.1016/j.envsoft.2024.106263