WorldCereal Documentation
  1. Processing Module (PM)
  2. Overview
  • Welcome
  • Introduction
    • How it all started
    • Purpose and Scope
    • System Overview
  • Reference Data Module (RDM)
    • Overview
    • Reference Data Harmonization
    • Explore and Retrieve Data
    • Upload Your Data
    • Publish Your Data
  • Processing Module (PM)
    • Overview
    • Usage of the Cloud System
    • Usage of the Standalone System
  • Visualization and Dissemination Module (VDM)
    • Overview
    • Visualizing Global Products
    • Launch Processing Jobs
  • Support and Resources

On this page

  • The WorldCereal Processing Module
    • Generic overview
  1. Processing Module (PM)
  2. Overview

The WorldCereal Processing Module

Generic overview

The WorldCereal Processing Module has been designed to generate custom cropland and crop type maps, anywhere on the globe. Users can either use our default models or train a custom classification model, finetuned for their region, time and crops of interest.

The figure below provides a full conceptual overview of the Processing Module:

pm-overview

Generic workflow employed by the WorldCereal Processing Module.

In short, the Processing Module deals with the following steps:
- Fetching Earth Observation (EO) and ancillary input data needed for training/inference
- Pre-processing the fetched time series and ensuring all inputs are resampled to 10 m resolution
- Using the Presto deep learning framework to compute classification features, based on the extracted inputs
- Training a custom CatBoost classification model
- Applying a trained (or default) model on an area and season of interest
- Spatially cleaning the model predictions and associated class probabilities

NOTE: more details on the individual components of the processing module will be added here…

Publish Your Data
Usage of the Cloud System