High-resolution mapping of China’s flooded croplands Article Swipe
Junliang Qiu
,
Xiankun Yang
,
Zihao Zheng
,
Paolo Tarolli
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.scib.2025.01.053
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.scib.2025.01.053
Climate change and the increasing frequency of floods have undermined China's food security. Creating detailed maps of flooded croplands is essential to improve prevention and adopt effective adaptation initiatives. Previous large-scale flood mapping efforts were hampered by limited meteorological and hydrological data, and the susceptibility of optical satellite images to cloud cover, leading to high uncertainty when downscaled to the cropland-scale. Here, using 4968 near-real-time (NRT) Sentinel-1 SAR (S1) images (spatial resolution: 10 m), we generated China's first set of high-resolution flooded cropland maps covering the period from 2017 to 2021. Our results demonstrate that croplands accounted for 43.8% to 49.8% of China's total flooded areas (ranging from 82,175 km2 to 122,037 km2). We also created high-resolution flood maps specifically for rice and maize crops. The inundated rice areas ranged from 8428 km2 to 22,123 km2, accounting for 22.34% to 41.91% of the annual flooded croplands, or 2.82% to 7.45% of the annual rice cropland. In comparison, the inundated maize cropland fluctuated from 2619 km2 to 5397 km2, representing 5.38% to 13.56% of the annual flooded croplands. Our findings revealed extensive floods in rural areas, highlighting the urgent need to prioritize flood prevention and mitigation efforts in such regions. In light of China's allocation of an additional 1-trillion-RMB treasury bonds for water infrastructure projects, the high-resolution flood maps can be used to select sites for flood control projects, and evaluate the impact of flooding on crop yields and food security, thus targeting poverty alleviation in rural areas of China.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.scib.2025.01.053
- OA Status
- hybrid
- Cited By
- 5
- References
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- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4406974815Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.scib.2025.01.053Digital Object Identifier
- Title
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High-resolution mapping of China’s flooded croplandsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
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2025-01-30Full publication date if available
- Authors
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Junliang Qiu, Xiankun Yang, Zihao Zheng, Paolo TarolliList of authors in order
- Landing page
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https://doi.org/10.1016/j.scib.2025.01.053Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.1016/j.scib.2025.01.053Direct OA link when available
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Flood myth, Environmental science, China, Remote sensing, Climate change, Water resource management, Hydrology (agriculture), Geography, Biology, Geotechnical engineering, Archaeology, Ecology, EngineeringTop concepts (fields/topics) attached by OpenAlex
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5Total citation count in OpenAlex
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2025: 5Per-year citation counts (last 5 years)
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