Global Bibliometric Data on UAV Remote Sensing for Coastal Ecosystems (2010–2025)

261 peer-reviewed publications from 2010 to 2025 form the curated corpus for this bibliometric analysis. Wei Sheng Chong compiled this dataset to support a manuscript on the evolution of UAV remote sensing applications in coastal environments. The raw data tracks temporal trends, collaborative patterns, and technical system details to ensure transparency and serve as a baseline for future meta-analyses.

Use Cases

• Analyzing publication trends and growth in UAV coastal research based on the temporal data spanning 2010–2025.
• Mapping collaborative networks and author/institution patterns based on the extracted collaborative parameters.
• Studying the geographic distribution of research focus areas based on the geographic study distributions.
• Tracking the adoption of specific drone platforms and sensors based on the technical system details like manufacturer and platform type.

Strengths

• Dataset covers a 15-year time range (2010–2025) for longitudinal trend analysis.
• Includes 261 systematically extracted and peer-reviewed publications, providing a defined corpus.
• Released under a permissive CC0-1.0 license, allowing unrestricted reuse and redistribution.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 49.4 KB file size suggests a very limited scope, likely containing only metadata summaries.

Provenance

Source

figshare, author Wei Sheng Chong.

Collection Method

Systematically extracted from a curated corpus of 261 peer-reviewed publications.

Time Range

2010–2025

Freshness

Last updated 2026-05-23 15:03:21; freshness should be verified.

Geography

Global