vscode-remote-snap

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.

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. Right-click on the Docker task bar item, select Settings / Preferences and update Resources > File Sharing with any locations your source code is kept. See tips and tricks for troubleshooting.

   3. If you are using 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. On Windows set the environment variable HOME

3. Under $HOME create two folders: data and results

4. Install Visual Studio Code

5. Install the Remote Development extension pack.

6. Run Remote-Containers: Clone Repository in Container Volume... from the Command Palette (F1)

7. Add the URL to this git repository: https://github.com/snap-contrib/vscode-remote-snap.git

8. Select the Volume mode

9. Wait a few minutes for the build to complete

Getting started with EO data

1. Download and extract the Sentinel-1 product S1A_IW_GRDH_1SDV_20201228T170552_20201228T170617_035889_0433FB_D8C7 acquisition to $HOME/data

2. Run the inspect_s1.py python script

Interactive Python

See https://code.visualstudio.com/docs/python/jupyter-support-py to learn about using interactive Python with Visual Studio Code