ArticleScientific reports2017
Applications of unmanned aerial vehicles in intertidal reef monitoring.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed.
- A Survey of Modern Data Acquisition and Analysis Systems for Environmental Risk Monitoring in Aquatic Ecosystems.Sensors (Basel, Switzerland) · 2026Review
- Z-folding aircraft electromagnetic scattering analysis based on hybrid grid matrix transformation.Scientific reports · 2022Article
- Article
- Joint improvements of radar/infrared stealth for exhaust system of unmanned aircraft based on sorting factor Pareto solution.Scientific reports · 2021Article
- Novel approach to enhance coastal habitat and biotope mapping with drone aerial imagery analysis.Scientific reports · 2021Article
- Three-dimensional digital mapping of ecosystems: a new era in spatial ecology.Proceedings. Biological sciences · 2020Article
- Future sea-level rise drives rocky intertidal habitat loss and benthic community change.PeerJ · 2020Article
- Monitoring Maize Lodging Grades via Unmanned Aerial Vehicle Multispectral Image.Plant phenomics (Washington, D.C.) · 2019Article
- UAVs, Hyperspectral Remote Sensing, and Machine Learning Revolutionizing Reef Monitoring.Sensors (Basel, Switzerland) · 2018Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Monitoring of intertidal reefs is traditionally undertaken by on-ground survey methods which have assisted in understanding these complex habitats; however, often only a small spatial footprint of the reef is observed. Recent developments in unmanned aerial vehicles (UAVs) provide new opportunities for monitoring broad scale coastal ecosystems through the ability to capture centimetre resolution imagery and topographic data not possible with conventional approaches. This study compares UAV remote sensing of intertidal reefs to traditional on-ground monitoring surveys, and investigates the role of UAV derived geomorphological variables in explaining observed intertidal algal and invertebrate assemblages. A multirotor UAV was used to capture <1 cm resolution data from intertidal reefs, with on-ground quadrat surveys of intertidal biotic data for comparison. UAV surveys provided reliable estimates of dominant canopy-forming algae, however, understorey species were obscured and often underestimated. UAV derived geomorphic variables showed elevation and distance to seaward reef edge explained 19.7% and 15.9% of the variation in algal and invertebrate assemblage structure respectively. The findings of this study demonstrate benefits of low-cost UAVs for intertidal monitoring through rapid data collection, full coverage census, identification of dominant canopy habitat and generation of geomorphic derivatives for explaining biological variation.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.