GeoAI-Cubes is a spatial and temporal database from different sensors designed to provide pre-processed information from a variety of Earth observation systems or external data fully aligned at the pixel or tile scale.

Geoaicube is an initiative promoted by the Catalonia Space 2030 Strategy. 

The dataset is optimized to efficiently train artificial intelligence models focused on geospatial applications. All Geoaicube data is in Zarr format, georeferenced in the same WGS84 UTM31N projection and covering the same geographical extent and with the labeling of the Land Cover Map of Catalonia, major changes 2023:

• UTM X West: 427000.
• UTM X East: 459000.
• UTM Y North: 4630900.
• UTM Y South: 46113000.

Reuse of information

The use of the data is subject to a Creative Commons Attribution 4.0 International license.    More information

Contains Sentinel Copernicus data modified by the ICGC.

It is requested that all methodologies and results obtained by the different scientific groups be shared with the ICGC via email: icgc@icgc.cat.

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Dataset Description

The following cartographic and additional information layers have been converted to ZARR format (more efficient for data ingestion processes into AI models):

• Geodatacube_orto2024.zarr: 25 cm resolution (32.9 GB).
• Geodatacube_S22024_2025.zarr: 10 m resolution (1.19 GB).
• GeoDataCube_access_XARRAYvsZARR_cat.ipynb: Jupyter Notebook explaining access to information in zarr format.
• Field_ROI_geodatacube.gpkg: GPKG of crop 1 for Sentinel-2 time series analysis in the notebook.
• Field2_ROI_geodatacube.gpkg: GPKG of crop 2 for Sentinel-2 time series analysis in the notebook.
• bbox_epsg32631.geojson: File in geojson format of the geographic scope.

The usability of GEOAICUBES, happens in I.A. to have good labels. The proposal is that these come together with the publication of the aforementioned geoaicubes (high and low resolution) with the labeling of the Land Cover Map of Catalonia, major changes 2023. 

Download

The data can be downloaded directly from the address https://datacloud.icgc.cat/datacloud/geodatacubes.

Due to the large volume of files available, it is recommended to download using the FTP client.

Server: ftp.icgc.cat | User: descarregues01 | Password: descarregues01

Examples of the available set of images

Sentinel 2 RGB	Orthoimage RGB	nDSM
Sentinel-2 IRC	Orthoimage RGB IRC

Land cover map	Legend
Graphic representation	Class	Name	Color	Hex code	Class	Name	Color	Hex code
	1	Herbaceous crops		#ffff00	22	"Eixample"		#FF53CD
	2	Vegetable gardens, nurseries and forced crops		#CCFF33	23	Lax urban areas		#FFA4E2
	3	Vineyards		#AF5B15	24	Isolated buildings in rural areas		#FFC8E2
	4	Olive groves		#808000	25	Isolated residential areas		#FFB4B4
	5	Other woody crops		#CDCD00	26	Green areas		#0F3700
	6	Crops in transformation		#FFFFCC	27	Industrial, commercial and/or service areas		#730055
	7	Dense coniferous forests		#33CC33	28	Sports and leisure areas		#6200C4
	8	Dense deciduous, broadleaf forests		#66FF33	29	Mining and/or landfill areas		#4A9595
	9	Dense sclerophyll and laurel forests		#689018	30	Zones in transformation		#FF00F0
	10	Scrub		#967D5F	31	Road network		#19E61E
	11	Open forests of conifers		#19E61E	32	Urban bare soil		#FFE6E6
	12	Deciduous, broadleaf open forests		#B4FF9B	33	Airport areas		#67629A
	13	Sclerophyll and laurel open forests		#AAA500	34	Railway network		#4A466E
	14	Meadows and grasslands		#C3C3A0	35	Port areas		#2F2D46
	15	Riverside forest		#00FF9B	36	Reservoirs		#6F6FFF
	16	Sòl nu forestal		#FF9632	37	Lakes and lagoons		#0000DC
	17	Burnt areas		#282828	38	Watercourses		#000064
	18	Rocks and swamps		#79797A	39	Ponds		#185F94
	19	Beaches		#F5DF78	40	Artificial canals		#12466D
	20	Wetlands		#3296FF	41	Sea		#000080
	21	Urban center		#FF007D	0	Outside the border		#ffffff