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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| Published in | Environmental modelling & software : with environment data news Vol. 184; p. 106263 |
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| Main Authors | , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.01.2025
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1364-8152 |
| DOI | 10.1016/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. |
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| ISSN: | 1364-8152 |
| DOI: | 10.1016/j.envsoft.2024.106263 |