Articles | Volume 16, issue 5
https://doi.org/10.5194/essd-16-2297-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-2297-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A 30 m annual cropland dataset of China from 1986 to 2021
Ministry of Education Ecological Field Station for East Asian Migratory Birds, Department of Earth System Science, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
Shengbiao Wu
Future Urbanity & Sustainable Environment (FUSE) Lab, Division of Landscape Architecture, Faculty of Architecture, The University of Hong Kong, Hong Kong SAR 999077, China
Future Urbanity & Sustainable Environment (FUSE) Lab, Division of Landscape Architecture, Faculty of Architecture, The University of Hong Kong, Hong Kong SAR 999077, China
Urban Systems Institute and Institute for Climate and Carbon Neutrality, The University of Hong Kong, Hong Kong SAR 999077, China
HKU Musketeers Foundation Institute of Data Science, The University of Hong Kong, Hong Kong SAR 999077, China
Qihao Weng
Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China
Yuqi Bai
Ministry of Education Ecological Field Station for East Asian Migratory Birds, Department of Earth System Science, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China
Jun Yang
Ministry of Education Ecological Field Station for East Asian Migratory Birds, Department of Earth System Science, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China
Ministry of Education Ecological Field Station for East Asian Migratory Birds, Department of Earth System Science, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China
Bing Xu
CORRESPONDING AUTHOR
Ministry of Education Ecological Field Station for East Asian Migratory Birds, Department of Earth System Science, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
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Cited
12 citations as recorded by crossref.
- Mapping Land-Cover Dynamics in Arid Regions Using Spectral Mixture Analysis and Representative Training Samples Y. Cui et al. 10.1109/TGRS.2024.3472080
- Multi-Dimensional Assessment, Regional Differences, and Influencing Factors of Agricultural Water Pollution from the Perspective of Grey Water Footprint in Zhejiang Province, China H. Zhu et al. 10.3390/agriculture14112031
- A 30 m annual cropland dataset of China from 1986 to 2021 Y. Tu et al. 10.5194/essd-16-2297-2024
- Assessing the Consistency of Five Remote Sensing-Based Land Cover Products for Monitoring Cropland Changes in China F. Deng et al. 10.3390/rs16234498
- Spatio-Temporal Pattern of Cropland Abandonment in Hilly and Mountainous Areas: A Case Study of Jiangxi, China W. Jiaming & X. Hualin 10.5814/j.issn.1674-764x.2024.05.018
- Pixel-wise parameter assignment in LandTrendr algorithm: Enhancing cropland abandonment monitoring using satellite-based NDVI time-series D. Wuyun et al. 10.1016/j.compag.2024.109541
- An improved optical trapezoid model to identify wetlands and irrigation water ponds in the arid irrigation district using Google Earth Engine X. Chen et al. 10.1080/15481603.2024.2422930
- Opposite effect on soil organic carbon between grain and non-grain crops: Evidence from Main Grain Land, China S. Liu et al. 10.1016/j.agee.2024.109364
- Desertification Mitigation in Northern China Was Promoted by Climate Drivers after 2000 H. Li et al. 10.3390/rs16193706
- Validation and refinement of cropland map in southwestern China by harnessing ten contemporary datasets Y. Cui et al. 10.1038/s41597-024-03508-5
- Assessing the Accuracy and Consistency of Cropland Products in the Middle Yangtze Plain H. Xu et al. 10.3390/land13030301
- Soil erosion drivers in Chinese croplands R. Wo et al. 10.1016/j.jclepro.2024.144405
9 citations as recorded by crossref.
- Mapping Land-Cover Dynamics in Arid Regions Using Spectral Mixture Analysis and Representative Training Samples Y. Cui et al. 10.1109/TGRS.2024.3472080
- Multi-Dimensional Assessment, Regional Differences, and Influencing Factors of Agricultural Water Pollution from the Perspective of Grey Water Footprint in Zhejiang Province, China H. Zhu et al. 10.3390/agriculture14112031
- A 30 m annual cropland dataset of China from 1986 to 2021 Y. Tu et al. 10.5194/essd-16-2297-2024
- Assessing the Consistency of Five Remote Sensing-Based Land Cover Products for Monitoring Cropland Changes in China F. Deng et al. 10.3390/rs16234498
- Spatio-Temporal Pattern of Cropland Abandonment in Hilly and Mountainous Areas: A Case Study of Jiangxi, China W. Jiaming & X. Hualin 10.5814/j.issn.1674-764x.2024.05.018
- Pixel-wise parameter assignment in LandTrendr algorithm: Enhancing cropland abandonment monitoring using satellite-based NDVI time-series D. Wuyun et al. 10.1016/j.compag.2024.109541
- An improved optical trapezoid model to identify wetlands and irrigation water ponds in the arid irrigation district using Google Earth Engine X. Chen et al. 10.1080/15481603.2024.2422930
- Opposite effect on soil organic carbon between grain and non-grain crops: Evidence from Main Grain Land, China S. Liu et al. 10.1016/j.agee.2024.109364
- Desertification Mitigation in Northern China Was Promoted by Climate Drivers after 2000 H. Li et al. 10.3390/rs16193706
3 citations as recorded by crossref.
- Validation and refinement of cropland map in southwestern China by harnessing ten contemporary datasets Y. Cui et al. 10.1038/s41597-024-03508-5
- Assessing the Accuracy and Consistency of Cropland Products in the Middle Yangtze Plain H. Xu et al. 10.3390/land13030301
- Soil erosion drivers in Chinese croplands R. Wo et al. 10.1016/j.jclepro.2024.144405
Latest update: 13 Dec 2024
Short summary
We developed the first 30 m annual cropland dataset of China (CACD) for 1986–2021. The overall accuracy of CACD reached up to 0.93±0.01 and was superior to other products. Our fine-resolution cropland maps offer valuable information for diverse applications and decision-making processes in the future.
We developed the first 30 m annual cropland dataset of China (CACD) for 1986–2021. The overall...
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