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4 classes
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FireRisk

FireRisk

The FireRisk dataset is a dataset for remote sensing fire risk classification.

Description

  • Total Number of Images: 91872
  • Bands: 3 (RGB)
  • Image Size: 320x320
  • 101,878 tree annotations
  • Image Resolution: 1m
  • Land Cover Classes: 7
  • Classes: high, low, moderate, non-burnable, very_high, very_low, water
  • Source: NAIP Aerial

Usage

To use this dataset, simply use datasets.load_dataset("blanchon/FireRisk").

from datasets import load_dataset
FireRisk = load_dataset("blanchon/FireRisk")

Citation

If you use the EuroSAT dataset in your research, please consider citing the following publication:

@article{shen2023firerisk,
  title   = {FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning},
  author  = {Shuchang Shen and Sachith Seneviratne and Xinye Wanyan and Michael Kirley},
  year    = {2023},
  journal = {arXiv preprint arXiv: 2303.07035}
}
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