license: openrail
task_categories:
- image-segmentation
pretty_name: California Burned Areas
size_categories:
- n<1K
California Burned Areas Dataset
Dataset Description
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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
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
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
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Who are the annotators?
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Considerations for Using the Data
Social Impact of Dataset
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Discussion of Biases
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Other Known Limitations
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Additional Information
Dataset Curators
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Licensing Information
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Citation Information
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Contributions
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