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---
license: openrail
task_categories:
- image-segmentation
pretty_name: California Burned Areas
size_categories:
- n<1K
---
# California Burned Areas Dataset
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset contains images from Sentinel-2 satellites taken before and after a wildfire.
The ground truth masks are provided by the California Department of Forestry and Fire Protection and they are mapped on the images.
### Supported Tasks
The dataset is designed to do binary semantic segmentation of burned vs unburned areas.
## Dataset Structure
### Dataset opening
Dataset was compressed using `h5py` and BZip2 from `hdf5plugin`. **WARNING: `hdf5plugin` is necessary to extract data**
### Data Instances
Each matrix has a shape of 5490x5490xC, where C is 12 for pre-fire and post-fire images, while it is 0 for binary masks.
### Data Fields
In each HDF5 file, you can find post-fire, pre-fire images and binary masks. The file is structured in this way:
```bash
β”œβ”€β”€ foldn
β”‚ β”œβ”€β”€ uid0
β”‚ β”‚ β”œβ”€β”€ pre_fire
β”‚ β”‚ β”œβ”€β”€ post_fire
β”‚ β”‚ β”œβ”€β”€ mask
β”‚ β”œβ”€β”€ uid1
β”‚ β”œβ”€β”€ post_fire
β”‚ β”œβ”€β”€ mask
β”‚
β”œβ”€β”€ foldm
β”œβ”€β”€ uid2
β”‚ β”œβ”€β”€ post_fire
β”‚ β”œβ”€β”€ mask
β”œβ”€β”€ uid3
β”œβ”€β”€ pre_fire
β”œβ”€β”€ post_fire
β”œβ”€β”€ mask
...
```
where `foldn` and `foldm` are fold names and `uidn` is a unique identifier for the wilfire.
### Data Splits
There are 5 random splits whose names are: 0, 1, 2, 3 and 4.
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
Data are collected directly from Copernicus Open Access Hub through the API. The band files are aggregated into one single matrix.
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
This work is under OpenRAIL license.
### Citation Information
If you plan to use this dataset in your work please cite using the DOI and giving the credit to Sentinel-2 mission and California Department of Forestry and Fire Protection.
### Contributions
[More Information Needed]