Earth Observation Systems and Pasture Modeling

A Bibliometric Trend Analysis

Bibliographic Data

ID22032021
AuthorsLwandile Nduku (0000-0001-9168-4548, University of Fort Hare), Ahmed Mukalazi Kalumba (0000-0001-7593-9096, University of Fort Hare), Cilence Munghemezulu (0000-0002-1089-5528, Agricultural Research Council of South Africa), Zinhle Mashaba-Munghemezulu (0000-0003-0267-7405, Agricultural Research Council of South Africa), George Chirima (0000-0002-5784-033X, Agricultural Research Council of South Africa), Gbenga Abayomi Afuye (0000-0001-7965-2009, University of Fort Hare, corresponding author), Emmanuel Tolulope Busayo (0000-0002-9274-2145, University of Fort Hare)
Year2021
Volume10
Issue11
Pages793
Publication date2021-11-20
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi10110793
OpenAlexW3215188144
LanguageEN
References cited82

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

Agricultural economics · Agriculture · China · Climate change · Economics · Geography · Grazing · Overgrazing · Pasture · Physical geography · Political science · Scopus · Environmental Science · Rangeland Management and Livestock Ecology · Remote Sensing in Agriculture · Species Distribution and Climate Change · Ecology · Forestry

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