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 changerelated
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.
