Earth Observation Systems and Pasture Modeling: A Bibliometric Trend Analysis

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 cha...

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Detalles Bibliográficos
Autores principales:	Lwandile Nduku, Ahmed Mukalazi Kalumba, Cilence Munghemezulu, Zinhle Mashaba-Munghemezulu, George Johannes Chirima, Gbenga Abayomi Afuye, Emmanuel Tolulope Busayo
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	bibliometrics climate change EOS PM remote sensing Geography (General) G1-922
Acceso en línea:	https://doaj.org/article/e31d0e42647e402c834195886f2d7bb2
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spelling	oai:doaj.org-article:e31d0e42647e402c834195886f2d7bb22021-11-25T17:53:18ZEarth Observation Systems and Pasture Modeling: A Bibliometric Trend Analysis10.3390/ijgi101107932220-9964https://doaj.org/article/e31d0e42647e402c834195886f2d7bb22021-11-01T00:00:00Zhttps://www.mdpi.com/2220-9964/10/11/793https://doaj.org/toc/2220-9964An 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 <i>n</i> = 74, average total citations (ATC) = 2949 in the USA, is <i>n</i> = 37, ATC = 488, in China and is <i>n</i> = 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.Lwandile NdukuAhmed Mukalazi KalumbaCilence MunghemezuluZinhle Mashaba-MunghemezuluGeorge Johannes ChirimaGbenga Abayomi AfuyeEmmanuel Tolulope BusayoMDPI AGarticlebibliometricsclimate changeEOSPMremote sensingGeography (General)G1-922ENISPRS International Journal of Geo-Information, Vol 10, Iss 793, p 793 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	bibliometrics climate change EOS PM remote sensing Geography (General) G1-922
spellingShingle	bibliometrics climate change EOS PM remote sensing Geography (General) G1-922 Lwandile Nduku Ahmed Mukalazi Kalumba Cilence Munghemezulu Zinhle Mashaba-Munghemezulu George Johannes Chirima Gbenga Abayomi Afuye Emmanuel Tolulope Busayo Earth Observation Systems and Pasture Modeling: A Bibliometric Trend Analysis
description	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 <i>n</i> = 74, average total citations (ATC) = 2949 in the USA, is <i>n</i> = 37, ATC = 488, in China and is <i>n</i> = 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.
format	article
author	Lwandile Nduku Ahmed Mukalazi Kalumba Cilence Munghemezulu Zinhle Mashaba-Munghemezulu George Johannes Chirima Gbenga Abayomi Afuye Emmanuel Tolulope Busayo
author_facet	Lwandile Nduku Ahmed Mukalazi Kalumba Cilence Munghemezulu Zinhle Mashaba-Munghemezulu George Johannes Chirima Gbenga Abayomi Afuye Emmanuel Tolulope Busayo
author_sort	Lwandile Nduku
title	Earth Observation Systems and Pasture Modeling: A Bibliometric Trend Analysis
title_short	Earth Observation Systems and Pasture Modeling: A Bibliometric Trend Analysis
title_full	Earth Observation Systems and Pasture Modeling: A Bibliometric Trend Analysis
title_fullStr	Earth Observation Systems and Pasture Modeling: A Bibliometric Trend Analysis
title_full_unstemmed	Earth Observation Systems and Pasture Modeling: A Bibliometric Trend Analysis
title_sort	earth observation systems and pasture modeling: a bibliometric trend analysis
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/e31d0e42647e402c834195886f2d7bb2
work_keys_str_mv	AT lwandilenduku earthobservationsystemsandpasturemodelingabibliometrictrendanalysis AT ahmedmukalazikalumba earthobservationsystemsandpasturemodelingabibliometrictrendanalysis AT cilencemunghemezulu earthobservationsystemsandpasturemodelingabibliometrictrendanalysis AT zinhlemashabamunghemezulu earthobservationsystemsandpasturemodelingabibliometrictrendanalysis AT georgejohanneschirima earthobservationsystemsandpasturemodelingabibliometrictrendanalysis AT gbengaabayomiafuye earthobservationsystemsandpasturemodelingabibliometrictrendanalysis AT emmanueltolulopebusayo earthobservationsystemsandpasturemodelingabibliometrictrendanalysis
_version_	1718411894620946432

Earth Observation Systems and Pasture Modeling: A Bibliometric Trend Analysis

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