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Large-Scale and High-Resolution Crop Mapping in China Using Sentinel-2 Satellite Imagery

Author

Listed:
  • Yulin Jiang

    (College of Agronomy and Biotechnology, China Agricultural University, Key Laboratory of Farming System, Ministry of Agriculture and Rural Affairs, Beijing 100193, China)

  • Zhou Lu

    (Institute of Geographic Sciences and National Resources Research, Chinese Academy of Sciences, Beijing 100193, China)

  • Shuo Li

    (College of Agronomy and Biotechnology, China Agricultural University, Key Laboratory of Farming System, Ministry of Agriculture and Rural Affairs, Beijing 100193, China)

  • Yongdeng Lei

    (College of Agronomy and Biotechnology, China Agricultural University, Key Laboratory of Farming System, Ministry of Agriculture and Rural Affairs, Beijing 100193, China)

  • Qingquan Chu

    (College of Agronomy and Biotechnology, China Agricultural University, Key Laboratory of Farming System, Ministry of Agriculture and Rural Affairs, Beijing 100193, China)

  • Xiaogang Yin

    (College of Agronomy and Biotechnology, China Agricultural University, Key Laboratory of Farming System, Ministry of Agriculture and Rural Affairs, Beijing 100193, China)

  • Fu Chen

    (College of Agronomy and Biotechnology, China Agricultural University, Key Laboratory of Farming System, Ministry of Agriculture and Rural Affairs, Beijing 100193, China)

Abstract

Large-scale, high-resolution mapping of crop patterns is useful for the assessment of food security and agricultural sustainability but is still limited. This study attempted to establish remote sensing-based crop classification models for specific cropping systems using the decision trees method and monitored the distribution of the major crop species using Sentinel-2 satellites (10 m) in 2017. The results showed that the cropping areas of maize, rice, and soybean on the Northeast China Plain were approximately 12.1, 6.2, and 7.4 million ha, respectively. The cropping areas of winter wheat and summer maize on the North China Plain were 13.4 and 16.9 million ha, respectively. The cropping areas of wheat, rice, and rape on the middle-lower Yangtze River plain were 2.2, 6.4 and 1.3 million ha, respectively. Estimated images agreed well with field survey data (average overall accuracy = 94%) and the national agricultural census data (R 2 = 0.78). This indicated the applicability of the Sentinel-2 satellite data for large-scale, high-resolution crop mapping in China. We intend to update the crop mapping datasets annually and hope to guide the adjustment and optimization of the national agricultural structure.

Suggested Citation

  • Yulin Jiang & Zhou Lu & Shuo Li & Yongdeng Lei & Qingquan Chu & Xiaogang Yin & Fu Chen, 2020. "Large-Scale and High-Resolution Crop Mapping in China Using Sentinel-2 Satellite Imagery," Agriculture, MDPI, vol. 10(10), pages 1-16, September.
    • Handle: RePEc:gam:jagris:v:10:y:2020:i:10:p:433-:d:420177
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    References listed on IDEAS

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    1. Junguo Liu & Hong Yang & H. H. G. Savenije, 2008. "China's move to higher-meat diet hits water security," Nature, Nature, vol. 454(7203), pages 397-397, July.
    2. Xie, Hualin & Cheng, Lingjuan & Lu, Hua, 2018. "Farmers’ responses to the winter wheat fallow policy in the groundwater funnel area of China," Land Use Policy, Elsevier, vol. 73(C), pages 195-204.
    3. Wang, Qing & Liu, Xuehua & Yue, Tianxiang & Wang, Chenliang & Wilson, John P., 2015. "Using models and spatial analysis to analyze spatio-temporal variations of food provision and food potential across China's agro-ecosystems," Ecological Modelling, Elsevier, vol. 306(C), pages 152-159.
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    Cited by:

    1. Argha Ghosh & Manoj Kumar Nanda & Debolina Sarkar & Sukamal Sarkar & Koushik Brahmachari & Mohammed Mainuddin, 2024. "Assessing the cropping intensity dynamics of the Gosaba CD block of Indian Sundarbans using satellite-based remote sensing," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(3), pages 6341-6376, March.
    2. Grace Rebecca Aduvukha & Elfatih M. Abdel-Rahman & Arthur W. Sichangi & Godfrey Ouma Makokha & Tobias Landmann & Bester Tawona Mudereri & Henri E. Z. Tonnang & Thomas Dubois, 2021. "Cropping Pattern Mapping in an Agro-Natural Heterogeneous Landscape Using Sentinel-2 and Sentinel-1 Satellite Datasets," Agriculture, MDPI, vol. 11(6), pages 1-22, June.
    3. Xuhua Hu & Yang Xu & Peng Huang & Dan Yuan & Changhong Song & Yingtao Wang & Yuanlai Cui & Yufeng Luo, 2024. "Identifying Changes and Their Drivers in Paddy Fields of Northeast China: Past and Future," Agriculture, MDPI, vol. 14(11), pages 1-20, October.

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