Datasets:
Download README.md from eadrah/AgDamage_Benchmark_v1: direct link, hf CLI and curl.
- Browser
- Download file 4.85 kB
-
https://huggingface.co/datasets/eadrah/AgDamage_Benchmark_v1/resolve/main/README.md
- Command line
-
hf download hf://datasets/eadrah/AgDamage_Benchmark_v1/README.md
-
curl -L -o README.md https://huggingface.co/datasets/eadrah/AgDamage_Benchmark_v1/resolve/main/README.md
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.
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 UtahContact: 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
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
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:
Funding: This work was supported by the National Aeronautics and Space Administration (NASA) under Grant NSSC25M7137.


