CoastSat v3.2 minor bugfixes

Update README.md

CoastSat v3.1 includes beach slope estimation

• added a section to the notebook about beach slope estimation so that users can directly estimate beach slope along their transects using the satellite-derived shorelines and FES2022 tide model.

CoastSat 3.0

This new version of CoastSat includes integration with the relatively new FES2022 global tide model (from CNES) to predict tide levels at any location and use the tide time-series for tidal correction directly inside CoastSat.

Next releases will focus on also adding the beach slope estimation.

Add reverse compatibility for tilename in downloads

Makes sure that the satellite tile added to the filenames in the image downloads is still compatible with the previous images downloaded without the tilename.

CoastSat v2.6

Changes:

• add tilename to the filenames when downloading (SDS_download.py). Note that this will create backward compatibility issues when trying to load .tif files downloaded with older versions
• fix of deprecated calls in matplotlib and numpy (thanks @2320sharon and @thekester)
• new authenticate and initialise function by @thekester

CoastSat v2.5

Contributions from @2320sharon and @DanieTheron to improve the download updates and the cloud mask.

CoastSat v2.4

Main changes:

• changed Sentinel-2 to collection to S2_HARMONIZED (otherwise there is a shift after 2022/01/01)
• avoid downloading imagery that is already in folder
• function to create an animation with the mapped shorelines

CoastSat v2.3

Improved Sentinel-2 cloud masking using the s2cloudless collection on Google Earth Engine https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_CLOUD_PROBABILITY. This should make Sentinel-2 imagery much more usable for shoreline mapping.

CoastSat 2.2

Some minor updates including:

• new way to convert coordinate systems (with pyproj)
• added IMAGE_QUALITY flag in metadata
• @2320sharon added a commit to save images as .jpg files instead of matplotlib plots

CoastSat 2.1

Update to the workflow to download and preprocess Sentinel-2 imagery. Makes sure the bands that come at different resolutions (10m, 20m and 60m) are reprojected onto the same pixel grid with gdal_warp.