CARM30: China annual rapeseed maps at 30 m spatial resolution from 2000 to 2022 using multi-source data.

Area of Science:

• Agricultural remote sensing
• Crop distribution mapping
• Geospatial data analysis

Background:

• Rapeseed is a vital global crop, particularly in China, yet lacks comprehensive, long-term remote sensing maps.
• Accurate rapeseed cultivation data is essential for agricultural management, oil supply sustainability, and policy decisions.

Purpose of the Study:

• To develop the first high-resolution, long-term annual rapeseed distribution maps for China.
• To provide a valuable resource for agricultural stakeholders, researchers, and policymakers.

Main Methods:

• Utilized multi-source data including satellite imagery, GLDAS environmental variables, land cover maps, and terrain data.
• Created annual rapeseed maps at 30m spatial resolution for China covering the period 2000-2022 (CARM30).

Main Results:

• The CARM30 product demonstrated high accuracy, with average F1 scores of 0.869 for winter and 0.971 for spring rapeseed.
• CARM30 showed strong spatial consistency with existing higher-resolution maps and significant correlation with agricultural statistics (R² = 0.65-0.86).

Conclusions:

• The CARM30 dataset offers a reliable and consistent long-term record of rapeseed cultivation across China.
• This resource supports refined agricultural management, sustainable vegetable oil supply chains, and informed governmental decision-making.