Abstract
An Earth observation system (EOS) is essential in monitoring and improving our understanding of how natural and managed agricultural landscapes change over time or respond to climate change and overgrazing. Such changes can be quantified using a pasture model (PM), a critical tool for monitoring changes in pastures driven by the growing population demands and climate change-related challenges and thus ensuring a sustainable food production system. This study used the bibliometric method to assess global scientific research trends in EOS and PM studies from 1979 to 2019. This study analyzed 399 published articles from the Scopus indexed database with the search term “Earth observation systems OR pasture model”. The annual growth rate of 19.76% suggests that the global research on EOS and PM has increased over time during the survey period. The average growth per article is n = 74, average total citations (ATC) = 2949 in the USA, is n = 37, ATC = 488, in China and is n = 22, ATC = 544 in Italy). These results show that the field of the study was inconsistent in terms of ATC per article during the study period. Furthermore, these results show three countries (USA, China, and Italy) ranked as the most productive countries by article publications and the Netherlands had the highest average total citations. This may suggest that these countries have strengthened research development on EOS and PM studies. However, developing counties such as Mexico, Thailand, Sri Lanka, and other African countries had a lower number of publications during the study period. Moreover, the results showed that Earth observation is fundamental in understanding PM dynamics to design targeted interventions and ensure food security. In general, the paper highlights various advances in EOS and PM studies and suggests the direction of future studies.
Funder
National Research Foundation
Subject
Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Geography, Planning and Development
Reference102 articles.
1. Global Land Cover Share (Glc-Share) Database Beta-Release Version 1.0-2014;Latham,2014
2. Satellite remote sensing of grasslands: from observation to management
3. Soil organic carbon in managed pastures of the southeastern United States of America. Grassland Carbon Sequestration: Management, Policy and Economics;Franzluebbers;Integr. Crop. Manag.,2010
4. Temporal Variations in Ambient Carbon Monoxide Concentrations between Weekdays and Weekends in Akure Central Business District, South West Nigeria
5. Rangeland Management Practices among Emerging Livestock Farmers in Gauteng Province, South Africahttps://uir.unisa.ac.za/handle/10500/25597
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献