Data acquisition

1 Sentinel-2 Images

This section describes how Sentinel-2 images are retrieved, visualised, and organised for model training.

Explanations (what is a satellite image ?), other images, copernicus webapp…

  1. Data acquisition
    Download a Sentinel-2 image for a given bounding box (bbox) and acquisition date, specifying:

    • spatial extent (bbox coordinates and CRS),
    • acquisition date range,
    • selected spectral bands,
    • output file format.

  2. Visualisation
    Plot the downloaded Sentinel-2 image (e.g. RGB composition) to verify spatial coverage and data integrity.

  3. Training dataset structure
    Discover the directory structure containing all Sentinel-2 images used for training.

  4. Automation optional
    Provide the reproducible code to automatically download all Sentinel-2 images required for the training dataset.

2 CLCPlus Labels

This section describes how CLCPlus land-cover labels are retrieved, visualised, and aligned with Sentinel-2 images.

Explanations (what is a segmentation mask for satellite image ?), other labels, copernicus webapp…

  1. Label acquisition
    Download CLCPlus labels for the same bounding box and a specified release version, ensuring spatial compatibility with Sentinel-2 images.

  2. Visualisation
    Plot the CLCPlus labels to verify class distribution and spatial alignment.

  3. Training dataset structure
    Discover the directory structure containing all label files corresponding to the Sentinel-2 images used for training.

  4. Automation optional
    Provide reproducible code to automatically download all CLCPlus labels required for the training dataset.