{"url":"/dataset/satbird","name":"SatBird","full_name":"a Dataset for Bird Species Distribution Modeling using Remote Sensing and Citizen Science Data","description_markdown":"SatBird is a dataset and benchmark for the task of predicting bird species encounter rates jointly at a specific location using remote sensing data. The dataset was obtained from publicly available eBird bird observation records, Sentinel-2 satellite data, and WorldClim and SoilGrids environmental data.\r\nSatBird is composed of 3 sub-datasets: (i) USA summer dataset, generally corresponding to the breeding season, (ii) USA winter dataset, the nonbreeding season, (iii) Kenya dataset, as an example of a low-data regime. 670 and 1054 bird species are considered for the USA and Kenya respectively.","description_withheld":null,"homepage":"https://satbird.github.io/","introduced_date":"2023-11-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/satbird-bird-species-distribution-modeling","title":"SatBird: Bird Species Distribution Modeling with Remote Sensing and Citizen Science Data","first_author":"Mélisande Teng","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["SatBird"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}