cdse-client 0.3.0

Python client for Copernicus Data Space Ecosystem (CDSE) - Drop-in replacement for sentinelsat

cdse-client

Python client for Copernicus Data Space Ecosystem (CDSE) — a modern replacement for sentinelsat.

Requires Python >= 3.9.

Installation

pip install cdse-client              # Core
pip install cdse-client[geo]         # + shapely, geopandas, geopy
pip install cdse-client[dataframe]   # + pandas
pip install cdse-client[processing]  # + rasterio, numpy, pillow, matplotlib, shapely
pip install cdse-client[async]       # + aiohttp, aiofiles
pip install cdse-client[all]         # Everything

Setup

1. Register at Copernicus Data Space
2. Create OAuth2 credentials in Account Settings

Environment variables:

• macOS/Linux (bash/zsh)

  export CDSE_CLIENT_ID="your-client-id"
  export CDSE_CLIENT_SECRET="your-client-secret"
  

• Windows (PowerShell)

  $env:CDSE_CLIENT_ID = "your-client-id"
  $env:CDSE_CLIENT_SECRET = "your-client-secret"
  

Quick start

from cdse import CDSEClient

client = CDSEClient()  # Uses environment variables

# Search Sentinel-2 products
products = client.search(
    bbox=[9.0, 45.0, 9.5, 45.5],  # Milan area
    start_date="2024-01-01",
    end_date="2024-01-31",
    collection="sentinel-2-l2a",
    cloud_cover_max=20,
    limit=5
)

# Download
for product in products:
    client.download(product)

Search methods

# By bounding box
products = client.search(bbox=[lon_min, lat_min, lon_max, lat_max], ...)

# By geographic point
products = client.search_by_point(lon=9.19, lat=45.46, buffer_km=10, ...)

# By city name (requires [geo])
products = client.search_by_city(city_name="Milano, Italia", ...)

# By product name (OData catalogue)
products = client.search_by_name("S2A_MSIL2A_20240115T102351...", exact=True)

# By UUID (OData catalogue)
product = client.search_by_id("a1b2c3d4-e5f6...")

Note: search() returns STAC results; product identifiers there are not guaranteed to be OData UUIDs. If you need a UUID, use search_by_name(..., exact=True).

Collections: sentinel-1-grd, sentinel-2-l1c, sentinel-2-l2a, sentinel-3-olci, sentinel-3-slstr, sentinel-5p-l2

Download methods

# Single product
client.download(product, output_dir="./downloads")

# Multiple products (parallel)
client.download_all(products, parallel=True, max_workers=4)

# With checksum verification
client.download_with_checksum(product)

# Quicklook preview only
client.download_quicklook(product)
client.download_all_quicklooks(products)

Data export (sentinelsat compatible)

# DataFrame for sorting/filtering
df = client.to_dataframe(products)
df.sort_values('cloud_cover').to_csv("products.csv")

# GeoJSON footprints
geojson = client.to_geojson(products)

# GeoDataFrame for spatial analysis (requires [geo])
gdf = client.to_geodataframe(products)
gdf.plot()

# Total size
size_gb = client.get_products_size(products)

Geometry utilities

from cdse import read_geojson, geojson_to_wkt, bbox_to_geojson

geojson = read_geojson("area.geojson")
wkt = geojson_to_wkt(geojson)
geojson = bbox_to_geojson([9.0, 45.0, 9.5, 45.5])

Processing

pip install cdse-client[processing]

from cdse.processing import calculate_ndvi, crop_and_stack, preview_product

# Extract bands, crop to AOI, stack into GeoTIFF
result = crop_and_stack(
    safe_path="S2A_MSIL2A_20240115.zip",
    bbox=[9.15, 45.45, 9.25, 45.55],
    bands=["B04", "B03", "B02", "B08"],
    resolution=10
)

# Calculate NDVI
ndvi = calculate_ndvi(nir_path="B08.tif", red_path="B04.tif")

# Preview in Jupyter
preview_product(safe_path="...", bbox=[...], display=True)

Async support

pip install cdse-client[async]

import asyncio
from cdse import CDSEClientAsync

async def main():
    async with CDSEClientAsync(client_id, client_secret) as client:
        products = await client.search(...)
        paths = await client.download_all(products)

asyncio.run(main())

CLI

# Search
cdse search --bbox 9.0,45.0,9.5,45.5 -s 2024-01-01 -e 2024-01-31 -c 20 -l 5

# Download by name/UUID
cdse download --name S2A_MSIL2A_20240115T102351...
cdse download --uuid a1b2c3d4-... [--quicklook] [--checksum]

# List collections
cdse collections

# Help
cdse --help

Migration from sentinelsat

sentinelsat	cdse-client
SentinelAPI(user, password)	CDSEClient(client_id, client_secret)
api.query(area, date, ...)	client.search(bbox, start_date, ...)
api.download(uuid)	client.download(product)
api.download_all(products)	client.download_all(products)
api.download_quicklook(uuid)	client.download_quicklook(product)
api.to_dataframe(products)	client.to_dataframe(products)
api.to_geojson(products)	client.to_geojson(products)
read_geojson(path)	read_geojson(path)
geojson_to_wkt(geojson)	geojson_to_wkt(geojson)

Resources

• Copernicus Data Space
• CDSE API Documentation

Documentation (MkDocs)

Build and preview locally:

pip install -e ".[docs]"
mkdocs serve

Disclaimer

This is an unofficial client library and is not affiliated with, endorsed by, or connected to ESA, the European Commission, or the Copernicus Programme.

Copernicus Data Space Ecosystem and Sentinel data are provided by ESA and the European Commission. Users must:

1. Register at dataspace.copernicus.eu
2. Comply with the Terms and Conditions
3. Respect API quotas and fair usage policies

Sentinel data is available under a free, full, and open data policy for any use, including commercial. See the Sentinel Data Legal Notice.

License

MIT License - see LICENSE