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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Extended Data on China's 30-m Annual Cropland Dataset for 1990–2023 (CACD-v1)

Authors: Tu, Ying; Wu, Shengbiao; Chen, Bin; Weng, Qihao; Bai, Yuqi; Yang, Jun; Yu, Le; +1 Authors

Extended Data on China's 30-m Annual Cropland Dataset for 1990–2023 (CACD-v1)

Abstract

CACD 2022 and 2023 are now available! The 30-m Annual Cropland Dataset of China (CACD) provides long-term, high-resolution maps of cropland extent across the country and has been widely applied in diverse studies. To meet the growing needs of the research community, we have extended the dataset to include the years 2022 and 2023, reprocessing all spatial tiles on the Google Earth Engine platform. In this updated version, minor methodological adjustments were introduced to further improve classification accuracy. For details on the mapping procedures and performance, please refer to the attached document. Data description *Data format: GeoTIFF (.tif) *Pixel size: 30 m (∼ 0.00027°) *Projection: EPSG: 4326 (WGS84) *Values: 1 denotes cropland and 0 denotes non-cropland Reference: Ying Tu, Shengbiao Wu, Bin Chen, Qihao Weng, Yuqi Bai, Jun Yang, Le Yu, and Bing Xu*. A 30 m annual cropland dataset of China from 1986 to 2021. Earth System Science Data 16 (2024): 2297–2316. https://doi.org/10.5194/essd-16-2297-2024

Keywords

Cropland maps; Landsat; Change detection; Google Earth Engine; China

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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