README.md

metadata

license: cc-by-4.0
pretty_name: BloomField
tags:
  - remote-sensing
  - water-quality
  - chlorophyll-a
  - harmful-algal-blooms
  - spatial-reconstruction
  - benchmark
size_categories:
  - 1B<n<10B

BloomField

Whole-lake chlorophyll-a (Chl-a) field-reconstruction benchmark for the trusted-sparse × biased-dense regime: a handful of accurate in-situ stations paired with two independent, value-biased ocean-colour satellites (GOCI-II geostationary + Sentinel-3 OLCI), over three eutrophic lakes in eastern China (Tai, Chao, Hongze), 2021–2024.

Structure

Per-lake folder (tai/, chao/, hongze/):

• goci_cache.npy, olci_cache.npy — gridded per-scene Chl-a rasters on a common ~300 m lake grid.
• goci_scenes.json, olci_dates.json — scene → cache-row indices.
• goci/, sentinel/ — raw per-scene rasters and lake-grid metadata (lake_meta*).
• situ/ — in-situ station time series (chlorophyll-a, turbidity, and station coordinates only).
• split_index.csv, alignment_index.csv — (scene, station) match-ups with temporal split.
• goci_station_features.csv, olci_station_features.csv — station-pixel satellite values.
• station_meta.csv, shp/ — station and lake geometry.

Splits are strictly temporal (train ≤2023, val 2024-H1, test 2024-H2).

Usage

The benchmark code consumes a lake via two environment variables:

export SCENE_DATA_ROOT=/path/to/bloomfield/tai
export SCENE_META=/path/to/bloomfield/tai/goci/full/lake_meta_taihu.npz

Download:

from huggingface_hub import snapshot_download
snapshot_download(repo_id="ALH84001/bloomfield", repo_type="dataset", local_dir="bloomfield")

Companion resources

The benchmark code and the small station × satellite match-up tables are released separately; their links are provided upon publication (anonymized during double-blind review).

License & sources

Released under CC-BY-4.0. Underlying Level-2 products (GOCI-II, Sentinel-3 OLCI) are public and re-downloadable; in-situ readings come from an automatic-analyser station network. See the paper's Dataset Datasheet appendix for full provenance, collection, and ethics.

Citation

BloomField: a benchmark for whole-lake chlorophyll-a field reconstruction. Under review.

Raw per-scene rasters (tarballs)

The *_cache.npy files already stack every scene for direct use by the code, so most users need only the caches. For provenance / custom re-gridding we also ship the individual per-scene .npz rasters as per-lake tarballs (Lake Tai GOCI scenes are cache-only):

• <lake>/scenes_sentinel.tar, <lake>/scenes_goci.tar

Extract inside the lake folder to restore sentinel/scene_npz/ and goci/full/scene_npz/:

cd tai && tar -xf scenes_sentinel.tar