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

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...

Full description

Saved in:
Bibliographic Details
Published inSustainability Vol. 14; no. 7; p. 4104
Main Authors Xiao, Pengnan, Qian, Peng, Xu, Jie, Lu, Mengyao
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.04.2022
Subjects
Agricultural production
Agriculture
Bibliometrics
Corn
Crops
Environmental science
Remote sensing
Soil sciences
Statistical methods
Sustainability
Time series
Trends
United States > US
Online AccessGet full text
ISSN2071-1050
2071-1050
DOI10.3390/su14074104

Cover

More Information
Summary: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 CollectionTM (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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2071-1050
2071-1050
DOI:10.3390/su14074104