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

Wenbin Liu^1,2, Shu Li¹, Jianbin Tao³

¹Changjiang Institute of Survey Technical Research, MWR, Wuhan, Hubei, 430011, China.

Scientific Data

|April 8, 2024

Summary

This study introduces the China Annual Rapeseed Maps (CARM30), a new 30m resolution dataset mapping rapeseed cultivation in China from 2000-2022. The maps provide crucial data for agricultural management and sustainable oil supply.

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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.