Articles | Volume 13, issue 11
https://doi.org/10.5194/essd-13-5403-2021
© Author(s) 2021. 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-13-5403-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
19 Nov 2021
Data description article |
| 19 Nov 2021
| 19 Nov 2021
A 1 km global cropland dataset from 10 000 BCE to 2100 CE
Bowen Cao
Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
Ministry of Education Ecological Field Station for East Asian Migratory Birds, Beijing 100084, China
Xuecao Li
College of Land Science and Technology, China Agricultural University, Beijing 100083, China
Min Chen
Department of Forest and Wildlife Ecology, University of Wisconsin – Madison, 1630 Linden Drive, Madison, WI 53706-1598, USA
Nelson Institute Center for Climatic Research, University of Wisconsin – Madison, 1225 W. Dayton St., Madison, WI 53706, USA
Ministry of Education Key Laboratory of Geographic Information Science, School of Geographic Sciences, East China Normal University, Shanghai 200241, China
Pengyu Hao
Food and Agriculture Organization of the United Nations, Viale delle Terme di Caracalla, 00153 Rome, Italy
Peng Gong
Ministry of Education Ecological Field Station for East Asian Migratory Birds, Beijing 100084, China
Department of Geography and Department of Earth Sciences, University of Hong Kong, Hong Kong
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We created detailed maps showing where different crops are grown in China and how planting changes over time. By combining existing maps with information learned from satellite images, we produced nationwide maps at 10 m resolution from 2018 to 2021. The maps agree well with local statistics and clearly reveal shifting crop patterns. These results can support better agricultural planning, farm management, and climate-smart decisions.
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Quandi Niu, Xuecao Li, Jianxi Huang, Hai Huang, Xianda Huang, Wei Su, and Wenping Yuan
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Min Zhao, Changxiu Cheng, Yuyu Zhou, Xuecao Li, Shi Shen, and Changqing Song
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We generated a unique dataset of global annual urban extents (1992–2020) using consistent nighttime light observations and analyzed global urban dynamics over the past 3 decades. Evaluations using other urbanization-related ancillary data indicate that the derived urban areas are reliable for characterizing spatial extents associated with intensive human settlement and high-intensity socioeconomic activities. This dataset can provide unique information for studying urbanization and its impacts.
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Short summary
In the study, the first 1 km global cropland proportion dataset for 10 000 BCE–2100 CE was produced through the harmonization and downscaling framework. The mapping result coincides well with widely used datasets at present. With improved spatial resolution, our maps can better capture the cropland distribution details and spatial heterogeneity. The dataset will be valuable for long-term simulations and precise analyses. The framework can be extended to specific regions or other land use types.
In the study, the first 1 km global cropland proportion dataset for 10 000 BCE–2100 CE was...
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