CoastSat: A Google Earth Engine-enabled Python toolkit to extract shorelines from publicly available satellite imagery

CoastSat is an open-source software toolkit written in Python that enables the user to obtain time-series of shoreline position at any sandy coastline worldwide from 30+ years (and growing) of publicly available satellite imagery. The toolkit exploits the capabilities of Google Earth Engine to effic...

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Veröffentlicht in:Environmental modelling & software : with environment data news Jg. 122; S. 104528
Hauptverfasser: Vos, Kilian, Splinter, Kristen D., Harley, Mitchell D., Simmons, Joshua A., Turner, Ian L.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford Elsevier Ltd 01.12.2019
Elsevier Science Ltd
Schlagworte:
Algorithms
Coastal engineering
Coastal management
Coasts
Computer programs
computer software
Google Earth Engine
Image classification
Image detection
Image enhancement
Image processing
Image segmentation
Internet
Landsat
Landsat satellites
Open source software
Pixels
Remote sensing
Satellite imagery
Sentinel-2
Shoreline mapping
Shorelines
Software
Source code
Spatial discrimination
Spatial resolution
Sub-pixel resolution
time series analysis
Shoreline mapping
Google Earth Engine
Sub-pixel resolution
Landsat
Sentinel-2
ISSN:1364-8152, 1873-6726
Online-Zugang:Volltext
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Zusammenfassung:CoastSat is an open-source software toolkit written in Python that enables the user to obtain time-series of shoreline position at any sandy coastline worldwide from 30+ years (and growing) of publicly available satellite imagery. The toolkit exploits the capabilities of Google Earth Engine to efficiently retrieve Landsat and Sentinel-2 images cropped to any user-defined region of interest. The resulting images are pre-processed to remove cloudy pixels and enhance spatial resolution, before applying a robust and generic shoreline detection algorithm. This novel shoreline detection technique combines a supervised image classification and a sub-pixel resolution border segmentation to map the position of the shoreline with an accuracy of ~10 m. The purpose of CoastSat is to provide coastal managers, engineers and scientists a user-friendly and practical toolkit to monitor and explore their coastlines. The software is freely-available on GitHub (https://github.com/kvos/CoastSat) and is accompanied by guided examples (Jupyter Notebook) plus step-by-step README documentation. •Global shoreline mapping toolbox from publicly available Landsat and Sentinel-2 satellite imagery.•Open-source Python toolkit that enables users to obtain 30+ years of satellite-derived shorelines at any beach worldwide.•Satellite images of the user-defined region of interest are retrieved efficiently with Google Earth Engine.•The sand/water interface is automatically mapped using a robust sub-pixel resolution shoreline detection technique.
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ISSN:1364-8152
1873-6726
DOI:10.1016/j.envsoft.2019.104528