Crop Type Maps for Operational Global Agricultural Monitoring

Area of Science:

• Agricultural Science
• Geospatial Analysis
• Data Harmonization

Background:

• Crop type maps are crucial for agricultural monitoring, including production forecasting and climate change adaptation.
• Existing global crop maps lack harmonization and up-to-date information for key food commodities.
• A significant data gap exists for consistent, global-scale crop type distribution.

Purpose of the Study:

• To address the critical data gap by developing harmonized, up-to-date global crop type maps.
• To create Best Available Crop Specific (BACS) masks for major food commodities.
• To support the G20 Global Agriculture Monitoring Program (GEOGLAM).

Main Methods:

• Harmonization of 24 national and regional crop type datasets from 21 diverse sources.
• Development of Best Available Crop Specific (BACS) masks for wheat, maize, rice, and soybeans.
• Focus on major production and export countries to ensure global relevance.

Main Results:

• Successful creation of a harmonized dataset of crop type maps.
• Development of BACS masks covering 66 countries for key agricultural commodities.
• Established a foundation for improved global agricultural monitoring.

Conclusions:

• The developed BACS masks fill a critical data gap for global agricultural monitoring.
• Harmonized crop type data is essential for accurate agricultural statistics and decision-making.
• This work supports enhanced climate change adaptation and mitigation strategies in agriculture.