csaybar/tacodemo · Datasets at Hugging Face

Dataset Viewer

Split (1)

train · 1 rows

id string	dataset_version string	description string	licenses list	extent dict	providers list	tasks list	taco_version string	title string	curators list	keywords list	publications:list list	optical:sensor string	optical:bands list	optical:num_bands int64	taco:pit_schema dict	taco:field_schema dict	taco:sources dict
majortom-sentinel2-l1c	0.1.0	A global-scale Sentinel-2 L1C dataset derived from ESA's Major TOM framework, providing monotemporal coverage of nearly every piece of Earth captured by the Sentinel-2 constellation. The dataset contains orthorectified Top-Of-Atmosphere (TOA) reflectance data from the Multispectral Instrument (MSI) across 13 spectral bands ranging from coastal aerosol (443nm) to shortwave infrared (2190nm) at 10m, 20m, and 60m spatial resolutions. The 1,068-pixel patch size ensures perfect alignment of all spectral bands without interpolation, preserving original pixel values from Sentinel-2 L1C products. Built on the Major TOM geographical grid system, this dataset leverages the Sentinel-2 constellation's 5-day global revisit frequency and 290km swath width to provide comprehensive land surface coverage for machine learning applications, Earth observation research, and operational monitoring across the complete optical spectrum.	[ "CC-BY-4.0" ]	{ "spatial": [ -180, -90, 180, 90 ], "temporal": [ "2015-06-23T00:00:00", "2024-12-31T23:59:59" ] }	[ { "name": "ESA phi-lab / Major TOM (Hugging Face)", "organization": null, "email": null, "role": null } ]	[ "foundation-model" ]	0.1.0	Major TOM Sentinel-2 L1C Global Dataset	[ { "name": "Cesar Aybar", "organization": "University of Valencia", "email": "cesar.aybar@uv.es", "role": null } ]	[ "remote-sensing", "earth-observation", "multimodal", "deep-learning", "sentinel-2", "sentinel-1", "dem", "embeddings" ]	[ { "doi": "10.1109/IGARSS53475.2024.10640760", "citation": "Francis, Alistair, and Mikolaj Czerkawski. \"Major tom: Expandable datasets for earth observation.\" IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024.", "summary": null }, { "doi": "10.48550/arXiv.2412.05600", "citation": "Czerkawski, Mikolaj, Marcin Kluczek, and J. Ä. Bojanowski. \"Global and dense embeddings of earth: Major tom floating in the latent space.\" arXiv preprint arXiv:2412.05600 (2024).", "summary": null } ]	sentinel2msi	[ { "name": "B01", "index": 0, "common_name": "coastal aerosol", "description": "Band 1 - Coastal aerosol - 60m", "unit": null, "center_wavelength": 443.5, "full_width_half_max": 17 }, { "name": "B02", "index": 1, "common_name": "blue", "description": "Band 2 - Blue - 10m", "unit": null, "center_wavelength": 496.5, "full_width_half_max": 53 }, { "name": "B03", "index": 2, "common_name": "green", "description": "Band 3 - Green - 10m", "unit": null, "center_wavelength": 560, "full_width_half_max": 34 }, { "name": "B04", "index": 3, "common_name": "red", "description": "Band 4 - Red - 10m", "unit": null, "center_wavelength": 664.5, "full_width_half_max": 29 }, { "name": "B05", "index": 4, "common_name": "red edge 1", "description": "Band 5 - Vegetation red edge 1 - 20m", "unit": null, "center_wavelength": 704.5, "full_width_half_max": 13 }, { "name": "B06", "index": 5, "common_name": "red edge 2", "description": "Band 6 - Vegetation red edge 2 - 20m", "unit": null, "center_wavelength": 740.5, "full_width_half_max": 13 }, { "name": "B07", "index": 6, "common_name": "red edge 3", "description": "Band 7 - Vegetation red edge 3 - 20m", "unit": null, "center_wavelength": 783, "full_width_half_max": 18 }, { "name": "B08", "index": 7, "common_name": "NIR", "description": "Band 8 - Near infrared - 10m", "unit": null, "center_wavelength": 840, "full_width_half_max": 114 }, { "name": "B8A", "index": 8, "common_name": "red edge 4", "description": "Band 8A - Vegetation red edge 4 - 20m", "unit": null, "center_wavelength": 864.5, "full_width_half_max": 19 }, { "name": "B09", "index": 9, "common_name": "water vapor", "description": "Band 9 - Water vapor - 60m", "unit": null, "center_wavelength": 945, "full_width_half_max": 18 }, { "name": "B10", "index": 10, "common_name": "cirrus", "description": "Band 10 - Cirrus - 60m", "unit": null, "center_wavelength": 1375.5, "full_width_half_max": 31 }, { "name": "B11", "index": 11, "common_name": "SWIR 1", "description": "Band 11 - Shortwave infrared 1 - 20m", "unit": null, "center_wavelength": 1613.5, "full_width_half_max": 89 }, { "name": "B12", "index": 12, "common_name": "SWIR 2", "description": "Band 12 - Shortwave infrared 2 - 20m", "unit": null, "center_wavelength": 2199.5, "full_width_half_max": 173 } ]	13	{ "root": { "n": 500, "type": "FOLDER" }, "hierarchy": { "1": [ { "n": 1500, "type": [ "FILE", "FILE", "FILE" ], "id": [ "cloudmask", "s2_l1c", "thumbnail" ] } ] } }	{ "level0": [ [ "id", "string" ], [ "type", "string" ], [ "stac:crs", "string" ], [ "stac:tensor_shape", "list(int64)" ], [ "stac:geotransform", "list(float64)" ], [ "stac:time_start", "int64" ], [ "stac:centroid", "binary" ], [ "s2:mgrs_tile", "string" ], [ "internal:parent_id", "int64" ] ], "level1": [ [ "id", "string" ], [ "type", "string" ], [ "taco:header", "binary" ], [ "internal:parent_id", "int64" ], [ "internal:relative_path", "string" ], [ "internal:stats", "list(list(float32))" ] ] }	{ "count": 27, "ids": [ "majortom-sentinel2-l1c", "majortom-sentinel2-l1c", "majortom-sentinel2-l1c", "majortom-sentinel2-l1c", "majortom-sentinel2-l1c", "majortom-sentinel2-l1c", "majortom-sentinel2-l1c", "majortom-sentinel2-l1c", "majortom-sentinel2-l1c", "majortom-sentinel2-l1c", "majortom-sentinel2-l1c", "majortom-sentinel2-l1c", "majortom-sentinel2-l1c", "majortom-sentinel2-l1c", "majortom-sentinel2-l1c", "majortom-sentinel2-l1c", "majortom-sentinel2-l1c", "majortom-sentinel2-l1c", "majortom-sentinel2-l1c", "majortom-sentinel2-l1c", "majortom-sentinel2-l1c", "majortom-sentinel2-l1c", "majortom-sentinel2-l1c", "majortom-sentinel2-l1c", "majortom-sentinel2-l1c", "majortom-sentinel2-l1c", "majortom-sentinel2-l1c" ], "files": [ "dataset_part0018.tacozip", "dataset_part0012.tacozip", "dataset_part0024.tacozip", "dataset_part0021.tacozip", "dataset_part0003.tacozip", "dataset_part0025.tacozip", "dataset_part0006.tacozip", "dataset_part0004.tacozip", "dataset_part0013.tacozip", "dataset_part0022.tacozip", "dataset_part0010.tacozip", "dataset_part0019.tacozip", "dataset_part0020.tacozip", "dataset_part0005.tacozip", "dataset_part0014.tacozip", "dataset_part0016.tacozip", "dataset_part0027.tacozip", "dataset_part0002.tacozip", "dataset_part0017.tacozip", "dataset_part0023.tacozip", "dataset_part0026.tacozip", "dataset_part0008.tacozip", "dataset_part0007.tacozip", "dataset_part0009.tacozip", "dataset_part0001.tacozip", "dataset_part0015.tacozip", "dataset_part0011.tacozip" ] }