{"url":"/dataset/clcd","name":"CLCD","full_name":"Cropland-CD","description_markdown":"The CLCD dataset consists of 600 pairs image of cropland change samples, with 360 pairs for training, 120 pairs for validation and 120 pairs for testing. The bi-temporal images in CLCD were collected by Gaofen-2 in Guangdong Province, China, in 2017 and 2019, respectively, with spatial resolution ranged from 0.5 to 2 m. Each group of samples is composed of two images of 512 × 512 and a corresponding binary label of cropland change.\r\n\r\nDataset paper: [A CNN-Transformer Network With Multiscale Context Aggregation for Fine-Grained Cropland Change Detection](https://ieeexplore.ieee.org/document/9780164)","description_withheld":null,"homepage":"https://github.com/liumency/CropLand-CD","introduced_date":"2022-05-23","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Change Detection","url":"/task/change-detection","datasets_with_task":"/datasets/task/change-detection"}],"languages":[],"variants":["CLCD"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/change-detection-on-clcd","task":"Change Detection","dataset_variant":"CLCD","rows":3,"metrics":["F1"],"first_row_in_archive_order":{"model":"BTC","paper":"/paper/be-the-change-you-want-to-see-revisiting","metrics":{"F1":"80.9"},"code_links":[{"title":"blaz-r/BTC-change-detection","url":"https://github.com/blaz-r/BTC-change-detection"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/be-the-change-you-want-to-see-revisiting","title":"Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices","date":"2025-07-04","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/mtp-advancing-remote-sensing-foundation-model","title":"MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining","date":"2024-03-20","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":4,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/fully-convolutional-siamese-networks-for","title":"Fully Convolutional Siamese Networks for Change Detection","date":"2018-10-19","rows_on_this_dataset":1,"code_links":5,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":5,"samples_ran":4,"samples_unverified":1,"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."}