Examples

This section provides practical examples of using openEO by TiTiler for various Earth Observation tasks.

Web Editor Examples

The openEO Web Editor provides a graphical interface for interacting with the API. To get started:

1. Start the services:

docker compose up

1. Access the editor at localhost:8080 and set the backend URL to localhost:8081

2. Authenticate using the instructions in the Admin Guide

Jupyter Notebook Examples

We provide several Jupyter notebooks demonstrating different use cases:

Manhattan Satellite Imagery

Learn how to:

• Connect to the openEO backend
• Load and process Sentinel-2 imagery using default resolution (1024 pixels width)
• Control output resolution with explicit width/height parameters
• Create true-color RGB visualizations
• Apply color enhancements for better visualization

NDVI Time Series Analysis

Explore how to:

• Calculate vegetation indices (NDVI)
• Extract time series data for specific areas
• Control memory usage with appropriate resolution settings
• Analyze temporal patterns in vegetation
• Visualize results using matplotlib

Resolution Control Examples

The examples demonstrate different approaches to managing resolution:

1. Default Resolution:

   loadcol = load_collection_and_reduce(
       "SENTINEL2_L2A",
       spatial_extent=bbox,
       temporal_extent=["2021-01-01", "2021-12-31"],
       bands=["B04", "B08"]
   )
   # Uses default width of 1024 pixels for memory efficiency
   

2. Custom Resolution:

   loadcol = load_collection_and_reduce(
       "SENTINEL2_L2A",
       spatial_extent=bbox,
       temporal_extent=["2021-01-01", "2021-12-31"],
       bands=["B04", "B08"],
       width=2048,  # Explicitly control resolution
   )
   

Running the Notebooks

To run the notebooks locally:

1. Install the development dependencies:

python -m pip install -e ".[dev]"

1. Start Jupyter:

jupyter notebook docs/notebooks

1. Open the desired notebook and follow the instructions