Remote Sensing Application in Mountainous Environments: A Bibliographic Analysis Article Swipe
Simbarashe Jombo
,
Mohamed A. M. Abd Elbasit
,
Anesu Dion Gumbo
,
Nthaduleni Samuel Nethengwe
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/ijerph20043538
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/ijerph20043538
Advancement in remote sensing platforms, sensors, and technology has significantly improved the assessment of hard-to-access areas, such as mountains. Despite these improvements, Africa lags in terms of research work published. This is of great concern as the continent needs more research to achieve sustainable development. Therefore, this study applied a bibliometric analysis of the annual production of publications on the application of remote sensing methods in mountainous environments. In total, 3849 original articles between 1973 and 2021 were used, and the results indicate a steady growth in publications from 2004 (n = 26) to 2021 (n = 504). Considering the source journals, Remote Sensing was the top-ranked, with 453 total publications. The University of the Chinese Academy of Sciences was the highest-ranking affiliation, with 217 articles, and China produced the highest number of publications (n = 217). Keywords used between 1973 and 1997, such as “Canada”, “alps”, and “GIS”, metamorphosed into “remote sensing” between 1998 and 2021. This metamorphosis indicates a change in the areas of interest and an increase in the application of remote sensing methods. Most studies were conducted in the Global North countries, and a few were published in low-impact journals within the African continent. This study can help researchers and scholars better understand the progress and intellectual structure of the field and future research directions in the application of remote sensing methods in mountainous environments.
Related Topics
Concepts
Ranking (information retrieval)
China
Remote sensing
Field (mathematics)
Sustainable development
Geography
Work (physics)
Chinese academy of sciences
Environmental resource management
Computer science
Library science
Environmental science
Political science
Engineering
Information retrieval
Archaeology
Law
Mathematics
Pure mathematics
Mechanical engineering
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/ijerph20043538
- https://www.mdpi.com/1660-4601/20/4/3538/pdf?version=1676874525
- OA Status
- gold
- Cited By
- 10
- References
- 80
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4321242384
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4321242384Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/ijerph20043538Digital Object Identifier
- Title
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Remote Sensing Application in Mountainous Environments: A Bibliographic AnalysisWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-02-17Full publication date if available
- Authors
-
Simbarashe Jombo, Mohamed A. M. Abd Elbasit, Anesu Dion Gumbo, Nthaduleni Samuel NethengweList of authors in order
- Landing page
-
https://doi.org/10.3390/ijerph20043538Publisher landing page
- PDF URL
-
https://www.mdpi.com/1660-4601/20/4/3538/pdf?version=1676874525Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://www.mdpi.com/1660-4601/20/4/3538/pdf?version=1676874525Direct OA link when available
- Concepts
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Ranking (information retrieval), China, Remote sensing, Field (mathematics), Sustainable development, Geography, Work (physics), Chinese academy of sciences, Environmental resource management, Computer science, Library science, Environmental science, Political science, Engineering, Information retrieval, Archaeology, Law, Mathematics, Pure mathematics, Mechanical engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
10Total citation count in OpenAlex
- Citations by year (recent)
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2025: 5, 2024: 4, 2023: 1Per-year citation counts (last 5 years)
- References (count)
-
80Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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