Abstract
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.
Highlights
Crop growth stage represent the morphological phase in the process of crop growth and development
This study focused on remote sensing researches of crop growth monitoring published by Chinese scholars in English and Chinese journals during the last 20 years (1996 to 2016)
Accurate and timely information on crop growth condition is critical for sustainable agricultural production
Summary
Crop growth stage represent the morphological phase in the process of crop growth and development. Information on crop growth condition was obtained from field scouting. This method can be accurate, it is time-consuming, costly, and limited in area of survey. With the fast development of geospatial science and technology, remote sensing technologies were increasingly applied to monitoring crop growth conditions [2,4,5]. With the fast development of UAV, remote sensing technology can capture crop growth in real time, which can help with crop yield forecast, pest and disease detection, and farm insurance payoff [6,7,8,9]
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