tilebox-datasets 0.53.0

Access Tilebox datasets from Python

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Tilebox Datasets

Access satellite data using the Tilebox datasets python client powered by gRPC and Protobuf.

Quickstart

Install using pip:

pip install tilebox-datasets

Instantiate a client:

from tilebox.datasets import Client

# create your API key at https://console.tilebox.com
client = Client(token="YOUR_TILEBOX_API_KEY")

Explore datasets and collections:

datasets = client.datasets()
print(datasets)

sentinel2_msi = client.dataset("open_data.copernicus.sentinel2_msi")
collections = sentinel2_msi.collections()
print(collections)

Query data:

s2a_l1c = sentinel2_msi.collection("S2A_S2MSI1C")
results = s2a_l1c.query(
  temporal_extent=("2025-03-01", "2025-06-01"),
  show_progress=True
)
print(f"Found {results.sizes['time']} datapoints")  # Found 220542 datapoints

Spatio-temporal queries:

from shapely.geometry import shape

area_of_interest = shape({
    "type": "Polygon",  # coords in lon, lat
    "coordinates": [[[-5, 50], [-5, 56], [-11, 56], [-11, 50], [-5, 50]]]}
)
s2a_l1c = sentinel2_msi.collection("S2A_S2MSI1C")
results = s2a_l1c.query(
  temporal_extent=("2025-03-01", "2025-06-01"),
  spatial_extent=area_of_interest,
  show_progress=True
)
print(f"Found {results.sizes['time']} datapoints")  # Found 979 datapoints

Documentation

Check out the Tilebox Datasets documentation for more information.

License

Distributed under the MIT License (The MIT License).