ArticleEcology and evolution2018
Can drones count gulls? Minimal disturbance and semiautomated image processing with an unmanned aerial vehicle for colony-nesting seabirds.
Article in Ecology and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Airborne imagery does not preclude detectability issues in estimating bird colony size.Scientific reports · 2024Article
- Counting animals in aerial images with a density map estimation model.Ecology and evolution · 2023Article
- A colonial-nesting seabird shows no heart-rate response to drone-based population surveys.Scientific reports · 2022Article
- Monitoring Colonies of Large Gulls Using UAVs: From Individuals to Breeding Pairs.Micromachines · 2022Article
- Responses of turkey vultures to unmanned aircraft systems vary by platform.Scientific reports · 2021Article
- Drones, automatic counting tools, and artificial neural networks in wildlife population censusing.Ecology and evolution · 2021Article
- Improving Animal Monitoring Using Small Unmanned Aircraft Systems (sUAS) and Deep Learning Networks.Sensors (Basel, Switzerland) · 2021Article
- A global horizon scan of the future impacts of robotics and autonomous systems on urban ecosystems.Nature ecology & evolution · 2021Article
- Automated Bird Counting with Deep Learning for Regional Bird Distribution Mapping.Animals : an open access journal from MDPI · 2020Article
- Accurate Non-Disturbance Population Survey Method of Nesting Colonies in the Reedbed with Georeferenced Aerial Imagery.Sensors (Basel, Switzerland) · 2020Article
- Drone Surveys Do Not Increase Colony-wide Flight Behaviour at Waterbird Nesting Sites, But Sensitivity Varies Among Species.Scientific reports · 2020Article
- An experimental approach to evaluate the potential of drones in terrestrial mammal research: a gregarious ungulate as a study model.Royal Society open science · 2020Article
- Can drones count gulls? Minimal disturbance and semiautomated image processing with an unmanned aerial vehicle for colony-nesting seabirds.Ecology and evolution · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Accurate counts of wild populations are essential to monitor change through time, but some techniques demand specialist surveyors and may result in unacceptable disturbance or inaccurate counts. Recent technological developments in unmanned aerial vehicles (UAVs) offer great potential for a range of survey and monitoring approaches. They literally offer a bird's-eye view, but this increased power of observation presents the challenge of translating large amounts of imagery into accurate survey data. Seabirds, in particular, present the particular challenges of nesting in large, often inaccessible colonies that are difficult to view for ground observers, which are commonly susceptible to disturbance. We develop a protocol for carrying out UAV surveys of a breeding seabird colony (Lesser Black-backed Gulls,
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