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

被引:5
|
作者
Xiao, Pengnan [1 ]
Qian, Peng [2 ]
Xu, Jie [3 ]
Lu, Mengyao [2 ]
机构
[1] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China
[2] Zhongnan Univ Econ & Law, Sch Business Adm, Wuhan 430073, Peoples R China
[3] Hubei Univ, Fac Resources & Environm Sci, Wuhan 430062, Peoples R China
关键词
crop spatial pattern; multiple cropping; crop planting area; crop planting patterns; GOOGLE EARTH ENGINE; TIME-SERIES; SUPERVISED CLASSIFICATION; CULTIVATED LAND; MODIS; COVER; DYNAMICS; SYSTEMS; INDEX;
D O I
10.3390/su14074104
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:29
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