openEO CookBook

Contents:

• Analysis Ready Data generation
  • Atmospheric correction
    • Reference implementations
  • SAR backscatter
    • Reference implementations
• Dataset sampling
  • Sampling at point locations
  • Sampling polygons as rasters
  • Performance & scalability
  • Sampling at scale
• Sharing of user-defined processes
  • Publicly publishing a user-defined process.
  • Using a public UDP through URL based “namespace”
  • Loading a published user-defined process as DataCube
• Spectral Indices
  • Band mapping
    • Automatic band mapping
    • Manual band mapping
  • API
    • append_and_rescale_indices()
    • append_index()
    • append_indices()
    • compute_and_rescale_indices()
    • compute_index()
    • compute_indices()
    • list_indices()
• Multi Backend Job Manager
  • Getting Started
    • Setting up the manager
    • Preparing the job database
    • Defining the start_job callback
    • Running everything
  • Job Database
    • CSV and Parquet files
    • STAC API (experimental)
    • Custom interfaces
  • Customizing Job Handling
  • Automatic Result Downloading
  • Canceling Long-Running Jobs
  • Running in a Background Thread
  • Job Status Tracking
  • Job creation based on parameterized processes
    • Example use case:
  • API Reference
    • MultiBackendJobManager
    • Job Database
    • ProcessBasedJobCreator
• Client-side (local) processing
  • Background
  • Installation
  • Usage
    • STAC Collections and Items
    • Local Collections
    • Local Processing
• Miscellaneous tips and tricks
  • Export a process graph
  • Execute a process graph directly from raw JSON
  • Legacy read_vector usage