OpenEO Python Client

Contents:

• Basic Usage
  • Example: Simple band math
  • Example: Applying a mask
  • Example: Retrieving aggregated timeseries
• Finding and loading data
  • Data discovery
  • Loading collections
• Working with processes
  • A bit of terminology
  • Using common pre-defined processes
  • Generic API for adding processes
  • Processes with child “callbacks”
• Batch Jobs
  • Download batch job results
  • Directly load batch job results
• User-Defined Processes
  • Code reuse with user-defined processes
  • Process Parameters
  • Building and storing user-defined process
  • Evaluate user-defined processes
• Authentication and Account Management
  • Basic HTTP Auth
  • OpenID Connect Based Authentication
  • Config files and openeo-auth helper tool
• User-Defined Functions (UDF) explained
  • Example: Smoothing timeseries with a user defined function (UDF)
  • Example: downloading a datacube and executing an UDF locally
  • UDF function names
  • Profile a process server-side
• DataCube construction
  • The load_collection process
  • Construct DataCube from process
  • Construct DataCube from JSON
• OpenEO CookBook
  • Analysis Ready Data generation
  • Dataset sampling
  • Sharing of user-defined processes
• API
  • High level Interface
  • openeo.rest.datacube
  • openeo.api
  • openeo.rest.connection
  • openeo.rest.job
  • openeo.rest.conversions
  • openeo.rest.udp
  • openeo.udf
• Development and maintenance
  • Running the unit tests
  • Building the documentation
  • Creating a release

Indices and tables

• Index

• Module Index

• Search Page