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A Bibliometric Analysis of the Application of Remote Sensing in Crop Spatial Patterns: Current Status, Progress and Future Directions

Author

Listed:
  • Pengnan Xiao

    (College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China)

  • Peng Qian

    (School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China)

  • Jie Xu

    (Faculty of Resources and Environmental Science, Hubei University, Wuhan 430062, China)

  • Mengyao Lu

    (School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China)

Abstract

The crop spatial pattern (CSP) is the spatial expression of the planting structure, maturity and planting pattern of crops in a region or production unit. It reflects the situation of human agricultural production using agricultural production resources, and is very important for human survival and development. Based on 5356 publications collected from the Web of Science Core Collection TM (WoS), this paper’s aim is to illustrate a comprehensive run-through and visualization of the subject of CSP. A time series evolution diagram of hot topics and the evolution of research hotspots are discussed in detail. Then, remote sensing monitoring methods of the crop planting area, multiple cropping, crop planting patterns and the mechanisms of crop spatial patterns are summarized, respectively. In the discussion, we focus on three important issues, namely, the remote sensing cloud platform, the changes in characteristics of the crop spatial pattern and the simulation of the crop spatial pattern. The main objective of the paper is to assist research workers interested in the area of CSP in determining potential research gaps and hotspots.

Suggested Citation

  • Pengnan Xiao & Peng Qian & Jie Xu & Mengyao Lu, 2022. "A Bibliometric Analysis of the Application of Remote Sensing in Crop Spatial Patterns: Current Status, Progress and Future Directions," Sustainability, MDPI, vol. 14(7), pages 1-29, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:7:p:4104-:d:783342
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    References listed on IDEAS

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    1. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    2. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    3. Li, Runwei & Wei, Chenyang & Afroz, Mahnaz Dil & Lyu, Jun & Chen, Gang, 2021. "A GIS-based framework for local agricultural decision-making and regional crop yield simulation," Agricultural Systems, Elsevier, vol. 193(C).
    4. Farzad Emami & Manfred Koch, 2018. "Agricultural Water Productivity-Based Hydro-Economic Modeling for Optimal Crop Pattern and Water Resources Planning in the Zarrine River Basin, Iran, in the Wake of Climate Change," Sustainability, MDPI, vol. 10(11), pages 1-32, October.
    5. Pengnan Xiao & Yong Zhou & Xigui Li & Jie Xu & Chong Zhao, 2021. "Assessment of Heavy Metals in Agricultural Land: A Literature Review Based on Bibliometric Analysis," Sustainability, MDPI, vol. 13(8), pages 1-21, April.
    6. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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    Cited by:

    1. Xigui Li & Pengnan Xiao & Yong Zhou & Jie Xu & Qing Wu, 2022. "The Spatiotemporal Evolution Characteristics of Cultivated Land Multifunction and Its Trade-Off/Synergy Relationship in the Two Lake Plains," IJERPH, MDPI, vol. 19(22), pages 1-34, November.

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