ChaBuD (Change detection for Burned area Delineation)

The dataset comprises patches of size 512x512 pixels collected from Sentinel-2 L2A satellite mission. All reported forest fires are located in California. For each area of interest, two images are provided: pre-fire acquisition and post-fire acquisition. Each image is composed of 12 different channels, collecting information from the visible spectrum, infrared and ultrablue.

The dataset is split into:

• train set
• validation set
• hidden test set, for which ground truth labels are not disclosed.

The hdf5 file is structured in this way:

root
|
|- uuid_0: {"post_fire", "pre_fire", "mask"}
| 
|
|- uuid_1: {"post_fire", "pre_fire", "mask"}
|
...

Each uuid have associated an attribute called fold.

Dataset can be downloaded from here. You can find a script that can be used to load data.

Additional optional data are available here. If you need more data, contact us.