HDA Tutorials

Interactive Jupyter notebooks and practical code examples to help you get started with the Harmonized Data Access (HDA) API.

Note

All tutorials are available as interactive Jupyter notebooks that you can run directly in your environment. Each tutorial includes ready-to-use code samples and real-world workflow examples.

What You’ll Learn

These tutorials will teach you how to:

Authenticate using your DESP account credentials
Discover available datasets and collections
Search data using spatial and temporal filters
Download and access data programmatically
Visualize data using popular Python libraries
Integrate HDA with tools like xarray, EODAG, and matplotlib

Getting Started

If you are new to HDA, start with the REST API tutorial to understand the core concepts. After that, explore the PySTAC tutorial for a more Python-native experience.

API Methods

REST API

Learn the fundamentals using direct HTTP requests with Python.

Authentication with DESP accounts, discovery searches, data access, and basic visualization.

PySTAC Client

Use the pystac-client library for seamless Python integration.

Collections and Items iteration, spatio-temporal searches, and advanced filtering.

Data-Specific Tutorials

DestinE Digital Twins

Access and visualize DestinE Digital Twins datasets.

EUMETSAT Data

Work with EUMETSAT satellite and meteorological data.

Climate Data Store

Access and analyze Climate Data Store datasets.