WorldCereal

Project Objectives
  1. Offer a cloud-based processing system allowing anyone to train and apply cropland/crop type detection models using open EO datasets
  2. Demonstrate the accuracy and use of the WorldCereal classification products in the context of global to regional monitoring of food security
  3. Actively encourage and train the agricultural monitoring community in the use of the WorldCereal system

Reference Data Module

To generate accurate cropland and crop type maps, high quality reference data is indispensable for both training classification algorithms and validation of the final products. Therefore, WorldCereal would like to engage with global agricultural community to stimulate and facilitate opening and sharing of reference data.

Here is a short introduction of the module WorldCereal UI quick tutorial

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