pkg-toml-test-2320sharon 0.0.30

# CoastSat

[](https://doi.org/10.5281/zenodo.2779293) [](https://gitter.im/CoastSat/community) [](https://www.gnu.org/licenses/gpl-3.0) [](https://GitHub.com/kvos/CoastSat/releases/)

CoastSat is an open-source software toolkit written in Python that enables users to obtain time-series of shoreline position at any coastline worldwide from 30+ years (and growing) of publicly available satellite imagery.


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Relevant publications:

• Shoreline detection algorithm: https://doi.org/10.1016/j.envsoft.2019.104528 (Open Access)

• Accuracy assessment and applications: https://doi.org/10.1016/j.coastaleng.2019.04.004

• Beach slope estimation: https://doi.org/10.1029/2020GL088365 (preprint [here](https://www.essoar.org/doi/10.1002/essoar.10502903.2))

• Satellite-derived shorelines along meso-macrotidal beaches: https://doi.org/10.1016/j.geomorph.2021.107707

• Beach-face slope dataset for Australia: https://doi.org/10.5194/essd-14-1345-2022

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Other repositories and addons related to this toolbox:

• [CoastSat.slope](https://github.com/kvos/CoastSat.slope): estimates the beach-face slope from the satellite-derived shorelines obtained with CoastSat.

• [CoastSat.PlanetScope](https://github.com/ydoherty/CoastSat.PlanetScope): shoreline extraction for PlanetScope Dove imagery (near-daily since 2017 at 3m resolution).

• [InletTracker](https://github.com/VHeimhuber/InletTracker): monitoring of intermittent open/close estuary entrances.

• [CoastSat.islands](https://github.com/mcuttler/CoastSat.islands): 2D planform measurements for small reef islands.

• [CoastSeg](https://github.com/dbuscombe-usgs/CoastSeg): image segmentation, deep learning, doodler.

• [CoastSat.Maxar](https://github.com/kvos/CoastSat.Maxar): shoreline extraction on Maxar World-View images (in progress)

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Visit the [CoastSat website](http://coastsat.wrl.unsw.edu.au/) to explore and download regional-scale datasets of satellite-derived shorelines and beach slopes generated with CoastSat.

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If you like the repo put a star on it! :star:

### Latest updates

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(2022/08/01) CoastSat 2.0 (major release):

• new download function for Landsat images (better alignment between panchromatic and multispectral bands)

• quality-control steps added for fully automated shoreline extraction

• post-processing of the shorelne time-series, including despiking and computing seasonal-averages.

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(2022/07/20) Option to switch off panchromatic sharpening on Landsat 7, 8 and 9 imagery.

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(2022/05/02) Compatibility with Landsat 9 and Landsat Collection 2

### Project description

Satellite remote sensing can provide low-cost long-term shoreline data capable of resolving the temporal scales of interest to coastal scientists and engineers at sites where no in-situ field measurements are available. CoastSat enables the non-expert user to extract shorelines from Landsat 5, Landsat 7, Landsat 8, Landsat 9 and Sentinel-2 images. The shoreline detection algorithm implemented in CoastSat is optimised for sandy beach coastlines. It combines a sub-pixel border segmentation and an image classification component, which refines the segmentation into four distinct categories such that the shoreline detection is specific to the sand/water interface.

The toolbox has four main functionalities:

1. assisted retrieval from Google Earth Engine of all available satellite images spanning the user-defined region of interest and time period.

2. automated extraction of shorelines from all the selected images using a sub-pixel resolution technique.

3. intersection of the 2D shorelines with user-defined shore-normal transects.

4. tidal correction using measured water levels and an estimate of the beach slope.

5. post-processing of the shoreline time-series, despiking and seasonal averaging.

6. validation example at Narrabeen