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example-sentinel-3-olci-composite

Project Status: WIP – Initial development is in progress, but there has not yet been a stable, usable release suitable for the public.

A development container is a running Docker container with a well-defined tool/runtime stack and its prerequisites. The VS Code Remote - Containers extension allows you to clone a repository or open any folder mounted into (or already inside) a dev container and take advantage of VS Code's full development feature set.

The well-defined tool/runtime stack in this VS Code Remote container is:

  • ESA's SNAP EO Toolbox
  • SNAP snappy Python bindings
  • snapista, a SNAP Python thin layer on top of snappy for creating and running SNAP GPT processing graphs
  • Python development support tools such as flake8, black, mypy, etc.
  • a Python project that does the SAR calibration of Sentinel-1 GRD data

Installation

To get started, follow these steps:

  1. Install and configure Docker for your operating system.

    Windows / macOS:

    1. Install Docker Desktop for Windows/Mac.

    2. If you are using Windows Subsystem for Linux (WSL) 2 on Windows, to enable the Windows WSL 2 back-end: Right-click on the Docker taskbar item and select Settings. Check Use the WSL 2 based engine and verify your distribution is enabled under Resources > WSL Integration.

    Linux:

    1. Follow the official install instructions for Docker CE/EE for your distribution. If you are using Docker Compose, follow the Docker Compose directions as well.

    2. Add your user to the docker group by using a terminal to run: sudo usermod -aG docker $USER

    3. Sign out and back in again so your changes take effect.

  2. Follow the steps in https://github.com/snap-contrib/docker-volume-eo/blob/master/README.md to create a local docker volume with the Sentinel-1 GRD acquisition

  3. Install Visual Studio Code

  4. Install the Remote Development extension pack.

  5. In Visual Studio Code, run Remote-Containers: Clone Repository in Container Volume... from the Command Palette (F1)

  6. Add the URL to this git repository: https://github.com/snap-contrib/example-vscode-remote-snap-sar-calibration.git

  7. Select "Master" and Create New Volume

  8. Wait a few minutes for the build to complete

  9. Activate conda env and install the 'sar-calibration' app:

conda activate env_snap
python setup.py install
  1. Exploit the Sentinel-3 OLCI RGB composite command line utility or evolve the python project