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Segmentation_EB (Original Files)

new segmentation routine used for floe size distribution (FSD) and accurate floe characteristics (Buckley et al., 2024)

Files include:

  • Segmentation_EB.ipynb - example notebook with commented seg algorithm code
  • input
    • cloud - files for cloud mask
    • tci - images for analysis
    • fci - files for alternative cloud mask (not available yet)
  • output
    • sample output

Packaged version

  • Refactored and optimized code
  • Notebook using packaged code
  • CLI tool fsdproc for image processing

Installation

Preparation

python -m venv .venv # create an enviroment for running the package
source .venv/bin/activate # activate the enviroment just created
pip install --upgrade pip # upgrade pip in case it's an old/unsupported version

For regular use

pip install .

For development

Besides the standard package, extra tooling (e.g., testing, formatting, linting, coverage) can be installed with

pip install -e ".[dev]"

You can also use the included devcontainer, which preinstalls dependencies including:

  • GDAL (for rasterio) and
  • libgtk-3-dev (for cv2) Use the "Reopen in container" command in VSCode or as a GitHub codespace.

CLI

Upon installation the fsdproc command will be available. View its help with fsdproc --help.

Loading and Running

mkdir -p data/
fsdproc load data/tci.tiff --kind truecolor
fsdproc load data/cld.tiff --kind cloud 
fsdproc load data/lnd.tiff --kind landmask
fsdproc process data/tci.tiff data/cld.tiff data/lnd.tiff data/

To get data from Aqua, rather than terra:

fsdproc load data/tci.tiff --kind truecolor --satellite aqua
fsdproc load data/cld.tiff --kind cloud --satellite aqua