sentinelhub

What it is and what it does

sentinelhub is the official Python client for Sentinel Hub's satellite data platform. It abstracts the complexity of multiple Sentinel Hub APIs—Process, Catalog, Batch, Statistical, and OGC services—into a unified Python interface, allowing developers to query, retrieve, and process satellite imagery from Sentinel, Landsat, MODIS, and custom data collections. The package also bundles geospatial utilities for coordinate transformations, large-area splitting, and data I/O, building on established libraries like numpy, shapely, and pyproj.

The package is designed for researchers, data engineers, and developers working with satellite imagery in Python workflows. It handles authentication, rate limiting, and API communication transparently, and serves as a core dependency for eo-learn, a framework for building geospatial data-processing pipelines. Most users configure it once with their Sentinel Hub credentials, then use its request and query classes to fetch imagery and metadata.

Use it for:

• Download and process Sentinel-2 or Landsat imagery for a geographic region using the Process API
• Query available satellite data collections and their metadata via the Catalog API
• Submit large-scale satellite processing jobs asynchronously through the Batch Processing API
• Compute statistical summaries (e.g., NDVI, cloud cover) over areas using the Statistical API
• Integrate satellite data retrieval into geospatial data pipelines built with eo-learn

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

sentinelhub provides a Python interface to Sentinel Hub's satellite data APIs and geospatial utilities, enabling access to Sentinel, Landsat, MODIS, and other satellite imagery collections through Process, Catalog, Batch, and Statistical APIs.

Yes. sentinelhub is actively maintained, production-stable, has low install friction, carries no known vulnerabilities, and is the official client for a widely-used satellite data platform. Install it if you need programmatic access to Sentinel Hub's imagery APIs; skip it if you don't use Sentinel Hub or prefer direct REST calls.

Install

sentinelhub on PyPI

pip install sentinelhub

uv add sentinelhub

poetry add sentinelhub

Installing sentinelhub

Before you install

Low install friction with a pure-wheel distribution. Active maintenance with a recent release 157 days ago and ongoing repository activity. Depends on 17 well-established packages including numpy, shapely, and requests; no compiled dependencies beyond what shapely may require on Windows.

License in practice

MIT License permits commercial and private use with minimal restrictions. You may use, modify, and distribute sentinelhub freely provided you include the original license and copyright notice.

Quickstart

pip install sentinelhub

from sentinelhub import SentinelHubRequest, DataCollection, MimeType

# Configure with your Sentinel Hub credentials, then request imagery
request = SentinelHubRequest(...)

Requires Python >= 3.8 and valid Sentinel Hub API credentials. On Windows, pre-installing shapely from an unofficial wheels repository is recommended before installing sentinelhub.

Verify before relying

• Whether the package's optional [AWS] extra dependencies are commonly needed for typical workflows
• Performance characteristics when processing large satellite imagery datasets
• Specific rate-limit handling behavior and quotas under different Sentinel Hub service tiers

Package facts

Evidence: sentinelhub-3.11.5-py3-none-any.whl

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