openEO CookBook¶

Contents:

  • Analysis Ready Data generation
    • Atmospheric correction
      • Reference implementations
    • SAR backscatter
      • Reference implementations
  • Dataset sampling
  • 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
  • Miscellaneous tips and tricks
    • Execute a process graph directly from raw JSON

openEO Python Client

Table of Contents

  • openEO Python Client
  • Installation
  • Getting Started
  • Finding and loading data
  • Working with processes
  • Batch Jobs
  • User-Defined Processes
  • Authentication and Account Management
  • User-Defined Functions (UDF) explained
  • DataCube construction
  • Machine Learning
  • Configuration
  • openEO CookBook
    • Analysis Ready Data generation
    • Dataset sampling
    • Sharing of user-defined processes
    • Spectral Indices
    • Miscellaneous tips and tricks
  • API
  • openEO Process Mapping
  • Development and maintenance
  • Best practices, coding style and general tips
  • Changelog

Related Topics

  • Documentation overview
    • Previous: Configuration
    • Next: Analysis Ready Data generation

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Docs for openEO Python Client
Version: 0.11.1a1
Last updated: 2022/08/03
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