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metadata
license: cc-by-4.0
pretty_name: 'BFC-Bench: Burnt & Flooded Crop Benchmark Data'
tags:
  - remote-sensing
  - earth-observation
  - sentinel-1
  - sentinel-2
  - agriculture
  - floods
  - wildfires
  - phenology
  - geospatial
task_categories:
  - image-segmentation
size_categories:
  - 1K<n<10K
configs:
  - config_name: flooded
    data_files: Flooded/manifest.parquet
  - config_name: burnt
    data_files: Burnt/manifest.parquet

Burnt & Flooded Crop Benchmark Data (BFC-Bench)

Global, phenology-timed agricultural hazard benchmark data for geospatial foundation models.

5,102 chips of flooded cropland (1,297 events) and 4,786 chips of burnt cropland (1,463 events), 2020–2026. Each chip is 512 × 512 px at 10 m and comes with its damage label, Sentinel-2 and Sentinel-1 images from before and after the event, the crop growth stage at the event date, and a quality-control verdict.

Events with damaged cropland: 1,297 flood events and 1,463 burn events

Each hazard folder holds shards/*.tar, with five GeoTIFFs (label, Sentinel-2 and Sentinel-1 before and after) and a JSON sidecar per chip, and manifest.csv / manifest.parquet, one row per chip.

Overview and Code access

  • Overvew and code: GitHub: the pipelines, overview, chip format and statistics

  • Publication: title, authors, venue, year (to be added): https://doi.org/10.xxxx/axxxxxxxx (in preperation)

  • Authors: Esmaeel Adrah1, Julina Maharjan1, Jamon Van Den Hoek2, He Yin1,3,4
    1 Department of Geography, Kent State University
    2 Department of Geography and Environmental Sciences, Oregon State University
    3 School of Environment, Society & Sustainability, University of Utah
    4 Scientific Computing and Imaging Institute, University of Utah

  • Contact: Esmaeel Adrah (eadrah@kent.edu | esmaeelad@gmail.com), He Yin (he.yin@utah.edu)

If you use this dataset or code, please cite:

@article{bfcbench,
  title   = {< Burnt & Flooded Crop Benchmark Data (BFC-Bench): Global, Phenology-timed, Agriculutral Hazard Benchmark Data for Geosppatial Foundation Models>},
  author  = {<Esmaeel Adrah, Julina Maharjan, Jamon Van Den Hoek, He Yin>>},
  journal = {<TBD>},
  year    = {<2026>},
  doi     = {10.xxxx/axxxxxxxx}
}

Examples

Flooded crop

Flood events in six countries: Sentinel-2 and Sentinel-1 before and after, label and flood persistence

Six chips from Niger, Pakistan, China, Brazil, Thailand and Greece, one per event. Columns: Sentinel-2 before and after, Sentinel-1 VV before and after, the label, and flood persistence, the share of valid Sentinel-1 overpasses in which each pixel was flooded. fc is the chip's flooded-cropland share.

Burnt crop

Burn events in six countries: Sentinel-2 and Sentinel-1 before and after, label and dNBR severity

Six chips from Ethiopia, India, China, Brazil, Vietnam and Turkey. Columns: Sentinel-2 before and after, Sentinel-1 before and after, the label, and dNBR burn severity, from 0 (unburned) to 4 (high).

Acknowledgments

Affiliated institutions:

Utah_updated Kent Oregon
Sensland

Funding: This work was supported by the National Aeronautics and Space Administration (NASA) under Grant NSSC25M7137.

NASA