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High-resolution distribution map of apple orchards in China based on multisource data.
Wenqiang Xie1, Yunkun Song1, Xuefeng Cui2
1State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China.
Scientific Data
|April 8, 2026
Summary
China
Area of Science:
- Agricultural Science
- Remote Sensing
- Climate Change Impact Studies
Background:
- China is the world's largest apple producer, crucial for global food security.
- Climate variations significantly impact apple cultivation suitability and production.
- High-resolution apple orchard data is lacking for accurate large-scale climate impact assessments.
Purpose of the Study:
- To develop the first 30-m national-scale apple orchard distribution map of China (AOMC).
- To provide a reliable dataset for analyzing climate impacts on apple production.
- To support sustainable development and climate resilience in China's apple industry.
Main Methods:
- Developed an apple-phenology-driven algorithm framework.
- Integrated apple phenology with multi-source geographical information.
- Utilized the time-weighted dynamic time warping algorithm for mapping.
Main Results:
- Created the first 30-m national-scale apple orchard distribution map of China (AOMC) for 2019-2021.
- The AOMC covers 96% of China's total apple orchard area.
- Achieved high accuracy (Overall accuracy: 87%) and strong correlation with statistics (R²: 0.892-0.925).
Conclusions:
- The AOMC is a valuable resource for monitoring apple production spatiotemporal changes.
- The dataset serves as critical input for crop models and climate resilience research.
- Advances understanding and management of China's apple industry under climate change.
