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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| Published in | Environmental modelling & software : with environment data news Vol. 122; p. 104528 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Oxford
Elsevier Ltd
01.12.2019
Elsevier Science Ltd |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1364-8152 1873-6726 1873-6726 |
| DOI | 10.1016/j.envsoft.2019.104528 |
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| Abstract | 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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| AbstractList | 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. 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. |
| ArticleNumber | 104528 |
| Author | Simmons, Joshua A. Splinter, Kristen D. Harley, Mitchell D. Turner, Ian L. Vos, Kilian |
| Author_xml | – sequence: 1 givenname: Kilian surname: Vos fullname: Vos, Kilian email: k.vos@unsw.edu.au – sequence: 2 givenname: Kristen D. surname: Splinter fullname: Splinter, Kristen D. – sequence: 3 givenname: Mitchell D. surname: Harley fullname: Harley, Mitchell D. – sequence: 4 givenname: Joshua A. surname: Simmons fullname: Simmons, Joshua A. – sequence: 5 givenname: Ian L. surname: Turner fullname: Turner, Ian L. |
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| Keywords | Shoreline mapping Google Earth Engine Sub-pixel resolution Landsat Sentinel-2 |
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| SubjectTerms | 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 |
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| Title | CoastSat: A Google Earth Engine-enabled Python toolkit to extract shorelines from publicly available satellite imagery |
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