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Crop mapping is the process of identifying, classifying, and spatially documenting the distribution of cultivated plant species across agricultural landscapes using remote sensing, GIS, and field survey techniques. It provides researchers and agronomists with accurate data on planting patterns, species composition, and land use, which is essential for monitoring crop health, modeling yield potential, and understanding how agricultural practices interact with local ecosystems. This spatial knowledge underpins large-scale plant science research, from tracking disease spread and phenological changes to informing breeding programs and conservation strategies.

High-resolution distribution map of apple orchards in China based on multisource data.

PubMed · 2026-04-08

Researchers created the first detailed national map of apple orchards across China at 30-meter resolution, covering nearly all of the country's apple-growing areas. This dataset helps track how apple farming is distributed and changing over time, which is critical for understanding food security and climate impacts on one of the world's most important fruit crops.

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The map covers 96% of China's total apple orchard area at a fine 30-meter resolution for the period 2019–2021.

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The dataset achieved an overall accuracy of 87% in correctly identifying orchard locations.

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Municipal-level orchard area estimates from the map correlated strongly with official statistics, with R² values between 0.892 and 0.925.