[Satlas Website | Github]
The AI-generated geospatial data in Satlas can be downloaded using the links below. All data is released under ODC-BY.
Visit satlas.allen.ai to view the data in an interactive map.
Marine infrastructure points are available as monthly snapshots in GeoJSON, KML, or shapefile formats. The latest data can be downloaded at:
- GeoJSON: https://pub-956f3eb0f5974f37b9228e0a62f449bf.r2.dev/outputs/marine/latest.geojson
- KML: https://pub-956f3eb0f5974f37b9228e0a62f449bf.r2.dev/outputs/marine/latest.kml
- Shapefile: https://pub-956f3eb0f5974f37b9228e0a62f449bf.r2.dev/outputs/marine/latest.shp.zip
Replace latest
with YYYY-MM
to get an older monthly snapshot. For example, 2023-01.geojson
contains off-shore wind turbines and platforms that we believe are present as of January 2023.
Each point is annotated with a category
attribute, either offshore_wind_turbine
or offshore_platform
.
An index file lists all currently available files, along with their hash and last modified time. You can programatically query this file to detect updates, which generally will be published between the 15th and 20th of each month. Data for previous months will be updated when (a) smoothing that includes the latest images changes our estimates for previous months; or (b) we develop improved models.
The points are also available as a single GeoJSON, with additional start
and end
attributes
indicating when the object was constructed or removed (e.g. start=2021-05,end=2022-01
):
Tree cover is available as GeoTIFF files for each WebMercator tile at zoom 7. WebMercator tiles are indexed from the top-left of the projection coordinate system from (0, 0) to (127, 127). The resolution is 10 m/pixel.
Replace YYYY-MM with the padded year and month (e.g. 2023-02 or 2023-11), along with the
unpadded X and Y index of the tile (like 20_44.tif
for Seattle).
Currently the data is computed for 2016-01 to 2023-01 only in 01 (January) and 07 (July).
https://pub-956f3eb0f5974f37b9228e0a62f449bf.r2.dev/outputs/tree-cover/YYYY-MM/X_Y.tif
For example, for Seattle in 2022-07:
https://pub-956f3eb0f5974f37b9228e0a62f449bf.r2.dev/outputs/tree-cover/2022-07/20_44.tif
The GeoTIFF contains a single 8-bit band, with these values:
0: no data
1: no trees
2: low
3: medium
4: high
5: full tree cover
Renewable energy infrastructure points (on-shore wind turbines) and polygons (solar farms) are available as monthly snapshots in GeoJSON, KML, or shapefile formats. The latest data can be downloaded at:
- GeoJSON: https://pub-956f3eb0f5974f37b9228e0a62f449bf.r2.dev/outputs/renewable/latest.geojson
- KML: https://pub-956f3eb0f5974f37b9228e0a62f449bf.r2.dev/outputs/renewable/latest.kml
- Shapefile (wind turbines): https://pub-956f3eb0f5974f37b9228e0a62f449bf.r2.dev/outputs/renewable/latest_wind.shp.zip
- Shapefile (solar farms): https://pub-956f3eb0f5974f37b9228e0a62f449bf.r2.dev/outputs/renewable/latest_solar.shp.zip
Replace latest
with YYYY-MM
to get an older monthly snapshot. For example, 2023-01.geojson
contains wind turbines and solar farms that we believe are present as of January 2023.
Each point is annotated with a category
attribute, either wind_turbine
or solar_farm
.
An index file lists all currently available files, along with their hash and last modified time. You can programatically query this file to detect updates, which generally will be published between the 15th and 20th of each month. Data for previous months will be updated when (a) smoothing that includes the latest images changes our estimates for previous months; or (b) we develop improved models.
The data is also available as a single GeoJSON, with additional start
and end
attributes
indicating when the object was constructed or removed (e.g. start=2021-05,end=2022-01
).
Solar farms in this combined format are not as accurate, since they are split up when different
parts of the solar farm were built at different times.
Due to the large size, the super-resolved imagery is not currently available for bulk download.
For the training and inference code and pre-trained model weights, see https://github.com/allenai/satlas-super-resolution/.
If you have feedback about the code, data, or models, or if you would like to see new types of geospatial data that are feasible to produce from Sentinel-2 imagery, you can contact us by opening an issue or via e-mail at satlas@allenai.org.