Dataset for the Land cover map (CatLC)
Complete set of images, aerial and satellite, for the creation of the Catalonia land cover map using Artificial Intelligence (AI) techniques
CatLC is a complete set of images, aerial and satellite, for the creation of the Catalonia land cover map using Artificial Intelligence (AI) techniques. The images contain data from the year 2018 at different frequencies and spatial resolutions.
All images in GeoTiff format are georeferenced at the same projection, WGS84 UTM31N, and covering the same geographical extension:
- UTM X West: 240000.
- UTM X East: 540000.
- UTM Y North: 4780000.
- UTM Y South: 4480000.
Use of Information
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 | The use of data is subject to a Creative Commons Attribution 4.0 International license. More information |
It contains Sentinel Copernicus data modified by the ICGC.
It is also requested that the methodologies and results obtained by the different scientific groups are shared with the ICGC through the e-mail: catlc@icgc.cat.
Viewer
Dataset description
The content of the dataset is detailed below:
- Orthophoto RGB: Orthophoto with the 3 visible RGB channels at 1-meter spatial resolution.
- Orthophoto Infrared: Infrared channel at 1-meter spatial resolution.
- Sentinel-1: Monthly and annual composition of radar amplitude image at 10-meter spatial resolution.
- Sentinel-2: 10-channel Sentinel-2 image composition for the months of April and August at 10-meter spatial resolution.
- Topographic data:
- Aspect: Orientation angle of terrain slopes, in degrees, at 5-meter spatial resolution.
- CHM: Digital elevation model of different elements of the terrain, vegetation and buildings for example, referred to the terrain surface at 1-meter spatial resolution.
- DEM: Digital Elevation Model at 5-meter spatial resolution.
- DSM: Digital Surface Model at 1-meter spatial resolution.
- Slope: Terrain slope, in degrees, at 5-meter spatial resolution.
- Land cover: 41-class land cover map created by ICGC at 1-meter spatial resolution. This layer can be used for training and validation when processing with different AI techniques.
Download
Data can be directly downloaded from https://ftp.icgc.cat/descarregues/CatLCNet.
Although, due to the big size of the files, we recommend to download it using an FTP client.
Server: ftp.icgc.cat | Username: descarregues01 | Password: descarregues01
Orthophoto (Orthophoto folder)
- Orthophoto RGB (2018) [252,3 GB]
- Orthophoto IR (2018) [84,1 GB]
- Ortophoto conventional 25 cm resolution
Sentinel-1 (S1 folder)
- Sentinel-1 Asc VV 201801 [3,4 GB]
- Sentinel-1 Asc VV 201802 [3,4 GB]
- Sentinel-1 Asc VV 201803 [3,4 GB]
- Sentinel-1 Asc VV 201804 [3,4 GB]
- Sentinel-1 Asc VV 201805 [3,4 GB]
- Sentinel-1 Asc VV 201806 [3,4 GB]
- Sentinel-1 Asc VV 201807 [3,4 GB]
- Sentinel-1 Asc VV 201808 [3,4 GB]
- Sentinel-1 Asc VV 201809 [3,4 GB]
- Sentinel-1 Asc VV 201810 [3,4 GB]
- Sentinel-1 Asc VV 201811 [3,4 GB]
- Sentinel-1 Asc VV 201812 [3,4 GB]
- Sentinel-1 Asc VV 2018 [3,4 GB]
Sentinel-2 (S2 folder)
Topography (DEM folder)
ICGC Land cover map (Land cover folder)
Catalunya Land cover Dataset
| Orthophoto RGB | Orthophoto Infrared | Sentinel-1 | Sentinel-2 April |
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| Sentinel-2 August | Aspect | Digital Elevation Model | Slope |
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| Digital Surface Model | Canopy Height Model | Land cover | |
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| Class | Name | Color | Class | Name | Color |
|---|---|---|---|---|---|
| 1 | Herbaceous crops | 22 | "Eixample" | ||
| 2 | Orchard, plant nurseries and forced cultivation | 23 | Lax Urban Areas | ||
| 3 | Vineyards | 24 | Isolated buildings in rural areas | ||
| 4 | Olive groves | 25 | Isolated residential areas | ||
| 5 | Other woody crops | 26 | Green areas | ||
| 6 | Crops in transformation | 27 | Industrial or commercial | ||
| 7 | Dense coniferous forests | 28 | Sports and leisure areas | ||
| 8 | Dense deciduous forests | 29 | Mining or landfills | ||
| 9 | Dense forests of sclerophylls | 30 | Areas in transformation | ||
| 10 | Scrub | 31 | Road network | ||
| 11 | Clear coniferous forests | 32 | Urban bare ground | ||
| 12 | Clear deciduous forests | 33 | Airport areas | ||
| 13 | Clear forests of sclerophylls | 34 | Railway network | ||
| 14 | Meadows and grasslands | 35 | Port areas | ||
| 15 | Shore forest | 36 | Reservoirs | ||
| 16 | Bare forest soil | 37 | Lakes and lagoons | ||
| 17 | Burned areas | 38 | Watercourses | ||
| 18 | Rocky | 39 | Rafts | ||
| 19 | Beaches | 40 | Artificial channels | ||
| 20 | Wetlands | 41 | Sea | ||
| 21 | Urban area | 0 | Out of border |