Next Article in Journal
Analysis of Light-Induced Changes in the Photochemical Reflectance Index (PRI) in Leaves of Pea, Wheat, and Pumpkin Using Pulses of Green-Yellow Measuring Light
Next Article in Special Issue
Monitoring Extreme Agricultural Drought over the Horn of Africa (HOA) Using Remote Sensing Measurements
Previous Article in Journal
Brazilian Mangrove Status: Three Decades of Satellite Data Analysis
Previous Article in Special Issue
Assessment of the X- and C-Band Polarimetric SAR Data for Plastic-Mulched Farmland Classification
Letter

Bibliometric Analysis of Remote Sensing Research Trend in Crop Growth Monitoring: A Case Study in China

1
School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China
2
School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China
3
Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON K1A0C6, Canada
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(7), 809; https://doi.org/10.3390/rs11070809
Received: 27 February 2019 / Revised: 29 March 2019 / Accepted: 1 April 2019 / Published: 4 April 2019
(This article belongs to the Special Issue Selected Papers from Agro-Geoinformatics 2018)
Remote sensing of crop growth monitoring is an important technique to guide agricultural production. To gain a comprehensive understanding of historical progression and current status, and future trend of remote sensing researches and applications in the field of crop growth monitoring in China, a study was carried out based on the publications from the past 20 years by Chinese scholars. Using the knowledge mapping software CiteSpace, a quantitative and qualitative analysis of research development, current hotspots, and future directions of crop growth monitoring using remote sensing technology in China was conducted. Furthermore, the relationship between high-frequency keywords and the emerging hot topics were visually analyzed. The results revealed that Chinese researchers paid more attention on keywords such as “vegetation index”, “crop growth”, “winter wheat”, “leaf area index (LAI)”, and “model” in the field of crop growth monitoring, and “LAI” and “unmanned aerial vehicle (UAV)”, appeared increasingly in frontier research of this discipline. Overall, bibliometric results from this CiteSpace-aided study provide a quantitative visualization to enrich our understanding on the historical development, current status, and future trend of crop growth monitoring in China. View Full-Text
Keywords: crop growth monitoring; remote sensing; CiteSpace; bibliometric analysis crop growth monitoring; remote sensing; CiteSpace; bibliometric analysis
Show Figures

Figure 1

MDPI and ACS Style

Wang, L.; Zhang, G.; Wang, Z.; Liu, J.; Shang, J.; Liang, L. Bibliometric Analysis of Remote Sensing Research Trend in Crop Growth Monitoring: A Case Study in China. Remote Sens. 2019, 11, 809. https://doi.org/10.3390/rs11070809

AMA Style

Wang L, Zhang G, Wang Z, Liu J, Shang J, Liang L. Bibliometric Analysis of Remote Sensing Research Trend in Crop Growth Monitoring: A Case Study in China. Remote Sensing. 2019; 11(7):809. https://doi.org/10.3390/rs11070809

Chicago/Turabian Style

Wang, Lijuan; Zhang, Guimin; Wang, Ziyi; Liu, Jiangui; Shang, Jiali; Liang, Liang. 2019. "Bibliometric Analysis of Remote Sensing Research Trend in Crop Growth Monitoring: A Case Study in China" Remote Sens. 11, no. 7: 809. https://doi.org/10.3390/rs11070809

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop