2023
DOI: 10.3390/ijerph20043538
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Remote Sensing Application in Mountainous Environments: A Bibliographic Analysis

Abstract: 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 origi… Show more

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Cited by 5 publications
(2 citation statements)
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“…Aerial and satellite optical datasets have been demonstrated to be suitable tools for monitoring changes in the mountain environment, including glaciers, landslides, forests, rivers, and ecosystems (Jombo et al, 2023). Thanks to photogrammetric techniques for image orientation, camera calibration and 3D reconstruction, dense point clouds can be obtained to be used for geomorphological analyses, change detection, volume computation, feature extraction, etc.…”
Section: Motivationsmentioning
confidence: 99%
“…Aerial and satellite optical datasets have been demonstrated to be suitable tools for monitoring changes in the mountain environment, including glaciers, landslides, forests, rivers, and ecosystems (Jombo et al, 2023). Thanks to photogrammetric techniques for image orientation, camera calibration and 3D reconstruction, dense point clouds can be obtained to be used for geomorphological analyses, change detection, volume computation, feature extraction, etc.…”
Section: Motivationsmentioning
confidence: 99%
“…To ensure this progression is closely monitored, the adoption of remote sensing becomes imperative. Remote sensing, in comparison to traditional methods, presents substantial cost savings 12,13 due to its capacity to surveil expansive territories 14 and hard-to-reach areas 15,16 . However, the efficacy of remote sensing is notably contingent on satellite resolution, encompassing both spatial and temporal aspects 17 .…”
Section: Introductionmentioning
confidence: 99%