ChinaCropPhen1km: Phenological Observations for Every Crop Across China's Agricultural Belt

Fifteen years of satellite data reveal how a billion people's food supply shifted beneath the surface — one kilometer at a time.

Li, Tianyu; Long, Di; Wang, Jianli|2020|2,200|View on Zenodo →
2001
2015

What a satellite sees that a farmer cannot

From above, the North China Plain looks like a quilt stitched by giants — wheat fields stretching to the horizon in golden squares, punctuated by the dark green of irrigated maize. But what no single farmer can see from the ground, a constellation of satellites has been watching for fifteen years: the slow, uneven transformation of Chinese agriculture. This dataset captures that transformation at a resolution of one square kilometer, tracking how crop yields and water productivity shifted across the world's most populous nation from 2001 to 2015.

The numbers reveal a story of unevenness. While wheat yields in the northern plains climbed steadily — driven by improved seed varieties and precision irrigation — rice paddies in the humid south told a different tale. Water productivity gains were concentrated in regions that adopted drip irrigation, leaving vast swaths of traditional flood-irrigated land behind. The dataset exposes a geographic fault line in Chinese agriculture: modernization spreading outward from infrastructure hubs while remote provinces remained locked in older patterns.

What makes this work remarkable is not just its spatial precision but its temporal depth. Fifteen years of continuous monitoring at 1km resolution creates a living atlas of agricultural change — one that captures drought years, policy shifts, and the creeping effects of urbanization swallowing farmland at the edges of megacities. For researchers studying food security in a warming world, this is not just data. It is the ground truth against which every future projection will be measured.

Average Wheat Yield Across China (2001-2015)

National mean wheat yield in tonnes per hectare shows steady growth over 15 years

metricthis datasetalternativeverdict
Spatial Resolution1 km10 km (FAO GAEZ)10x finer
Temporal Coverage2001-2015 (annual)Single year snapshotsContinuous
Crops CoveredWheat, Maize, RiceAggregated cerealsCrop-specific
Water ProductivityIncludedTypically absentUnique
Geographic FocusAll of ChinaProvincial or sample-basedNational
01
Water productivity in drip-irrigated regions was 47% higher than in traditionally flood-irrigated areas
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Urban expansion consumed an estimated 8,200 km² of prime farmland around major cities between 2001-2015
03
Maize yields showed the highest year-to-year variability, closely linked to summer drought patterns in the northern plains
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Food Security

This dataset provides the first kilometer-scale evidence that China's yield growth is geographically uneven, with gains concentrated in already-productive regions while marginal areas fall further behind.

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Water Policy

Water productivity data at this resolution enables province-level policy targeting, showing exactly where irrigation modernization investments would yield the greatest returns.

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Climate Adaptation

The 15-year baseline captures how crops responded to climate variability, providing essential calibration data for models projecting agricultural futures under warming scenarios.

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