A Bibliometric Analysis of the Application of Remote Sensing in Crop Spatial Patterns: Current Status, Progress and Future Directions
Pengnan Xiao,
Peng Qian,
Jie Xu and
Mengyao Lu
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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
Sustainability, 2022, vol. 14, issue 7, 1-29
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.
Keywords: crop spatial pattern; multiple cropping; crop planting area; crop planting patterns (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:7:p:4104-:d:783342
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