Query open satellite data

Tilebox indexes searchable metadata for public Earth observation catalogs. Use metadata queries to find relevant observations before reading or downloading their image assets.

Prerequisites

You have a Tilebox API key.
You have installed the Python SDK.

uv add tilebox shapely

Select the Sentinel-2 catalog

Open the Sentinel-2 dataset and its Level-2A collection:

Python

from tilebox.datasets import Client, field

client = Client()
sentinel2 = client.dataset("open_data.aws_earth.sentinel2")
collection = sentinel2.collection("L2A")

You can browse other open datasets and inspect their schemas in the Tilebox Console.

Query observation metadata

Query by time and area of interest. The result contains metadata and asset references, but does not download image bytes.

Python

from shapely import box

area = box(-109.05, 37.0, -102.05, 41.0)

scenes = collection.query(
    temporal_extent=("2025-10-01", "2025-11-01"),
    spatial_extent=area,
    filter=field("cloud_cover") < 10,
    show_progress=True,
)

print(scenes[["stac_id", "cloud_cover", "platform"]])

The result is an xarray.Dataset. Use regular xarray operations to sort or select observations:

Python

latest = scenes.sortby("time").isel(time=-1)

print(latest.stac_id.item())
print(latest.cloud_cover.item())

Tilebox Guides

Datasets

Workflows

Operations

Query open satellite data

Prerequisites

Select the Sentinel-2 catalog

Query observation metadata

Next steps

Visualize Sentinel-2 imagery

Querying data

​Prerequisites

​Select the Sentinel-2 catalog

​Query observation metadata

​Next steps

Visualize Sentinel-2 imagery

Querying data

Prerequisites

Select the Sentinel-2 catalog

Query observation metadata

Next steps