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Flying beneath the clouds at the edge of the world: using a hexacopter to supplement abundance surveys of Steller sea lions (Eumetopias jubatus) in Alaska
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s00300-014-1625-4openalex-snapshot
A small unmanned aerial system for estimating abundance and size of Antarctic predators
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An assessment of the audibility of sound from human transport by breeding Weddell seals (Leptonychotes weddellii)
inferredcites →https://doi.org/10.1111/2041-210x.12231openalex-snapshot
agTrend: A Bayesian approach for estimating trends of aggregated abundance
inferredcites →https://doi.org/10.1139/cjfas-2014-0070openalex-snapshot
A novel approach to compare pinniped populations across a broad geographic range
inferredcites →https://doi.org/10.1139/juvs-2015-0012openalex-snapshot
Evaluation of a ship-based unoccupied aircraft system (UAS) for surveys of spotted and ribbon seals in the Bering Sea pack ice
inferredcites →https://doi.org/10.1139/juvs-2015-0013openalex-snapshot
Assessing use of and reaction to unmanned aerial systems in gray and harbor seals during breeding and molt in the UK
inferredcites →https://doi.org/10.1139/juvs-2015-0017openalex-snapshot
Assessment of known impacts of unmanned aerial systems (UAS) on marine mammals: data gaps and recommendations for researchers in the United States
inferredcites →https://doi.org/10.1139/juvs-2015-0020openalex-snapshot
Photogrammetry of killer whales using a small hexacopter launched at sea
inferredcites →https://doi.org/10.1371/journal.pone.0054700openalex-snapshot
Unmanned Aerial Survey of Elephants
inferredcites →https://doi.org/10.1371/journal.pone.0079556openalex-snapshot
Unmanned Aerial Vehicles (UAVs) for Surveying Marine Fauna: A Dugong Case Study
inferredcites →https://doi.org/10.1644/1545-1542(2001)082<1047:satvit>2.0.co;2openalex-snapshot
SPATIAL AND TEMPORAL VARIATION IN THE TIMING OF BIRTHS OF STELLER SEA LIONS
inferredcites →https://doi.org/10.2193/0091-7648(2006)34[750:aaosua]2.0.co;2openalex-snapshot
An Assessment of Small Unmanned Aerial Vehicles for Wildlife Research
inferredcites →https://doi.org/10.2307/1380406openalex-snapshot
Reproductive Biology of Steller Sea Lions in the Gulf of Alaska
inferredcites →https://doi.org/10.25923/vsdy-9c87openalex-snapshot
Results of the Steller sea lion surveys in Alaska, June–July 2022
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Drones and marine mammals in Svalbard, Norway
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Use of Unnamed Aerial Vehicles (UAVs) to monitor marine megafauna strandings in beach monitoring programs
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inferred← citeshttps://doi.org/10.1071/mf18375openalex-snapshot
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Tracking wildlife energy dynamics with unoccupied aircraft systems and three‐dimensional photogrammetry
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Growth and opportunities for drone surveillance in pinniped research
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Unoccupied aerial system assessment of entanglement in Northwest Atlantic gray seals ( Halichoerus grypus )
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Calibration of aerial photogrammetry to estimate elephant seal mass
inferred← citeshttps://doi.org/10.1111/mms.13002openalex-snapshot
Disturbances due to unmanned aerial vehicles ( UAVs ) on harbor seal (Phoca vitulina) colonies: Recommendations on best practices
inferred← citeshttps://doi.org/10.1134/s1062359024701498openalex-snapshot
Using Unmanned Aerial Vehicles to Count and Monitor the Baikal Seal (Pusa sibirica Gmelin 1788)
inferred← citeshttps://doi.org/10.1139/cjfas-2014-0070openalex-snapshot
A novel approach to compare pinniped populations across a broad geographic range
inferred← citeshttps://doi.org/10.1139/juvs-2015-0017openalex-snapshot
Assessment of known impacts of unmanned aerial systems (UAS) on marine mammals: data gaps and recommendations for researchers in the United States
inferred← citeshttps://doi.org/10.1139/juvs-2018-0001openalex-snapshot
Comparing manned to unmanned aerial surveys for cetacean monitoring in the Arctic: methods and operational results
inferred← citeshttps://doi.org/10.1139/juvs-2018-0002openalex-snapshot
Performance of manned and unmanned aerial surveys to collect visual data and imagery for estimating arctic cetacean density and associated uncertainty
inferred← citeshttps://doi.org/10.1139/juvs-2018-0023openalex-snapshot
Comparison of sampling precision for nearshore marine wildlife using unmanned and manned aerial surveys
inferred← citeshttps://doi.org/10.1139/juvs-2018-0039openalex-snapshot
Measurements of juvenile Atlantic bluefin tuna (Thunnus thynnus) size using an unmanned aerial system
inferred← citeshttps://doi.org/10.1139/juvs-2019-0002openalex-snapshot
Shark detection probability from aerial drone surveys within a temperate estuary
inferred← citeshttps://doi.org/10.1146/annurev-marine-010318-095323openalex-snapshot
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Quantification and Analysis of Icebergs in a Tidewater Glacier Fjord Using an Object-Based Approach
inferred← citeshttps://doi.org/10.1371/journal.pone.0187465openalex-snapshot
An accurate and adaptable photogrammetric approach for estimating the mass and body condition of pinnipeds using an unmanned aerial system
inferred← citeshttps://doi.org/10.1371/journal.pone.0255586openalex-snapshot
Deep neural networks based automated extraction of dugong feeding trails from UAV images in the intertidal seagrass beds
inferred← citeshttps://doi.org/10.1515/jisys-2021-0026openalex-snapshot
Automated system for dispatching the movement of unmanned aerial vehicles with a distributed survey of flight tasks
inferred← citeshttps://doi.org/10.3106/ms2020-0029openalex-snapshot
Origin and Abundance of Steller Sea Lions (Eumetopias jubatus) in Winter Haulout at Benten-Jima Rock Off Cape Soya, Hokkaido, Japan between 2012–2017
inferred← citeshttps://doi.org/10.31857/s0044513424030096openalex-snapshot
Using unmanned aerial vehicles to count the numbers and monitor the condition of the Baikal seal (Pusa sibirica Gmelin 1788, Phocidae)
inferred← citeshttps://doi.org/10.31893/multiscience.2025598openalex-snapshot
Optimized UAV surveillance strategies for securing strategic objects: A performance-based comparative analysis
inferred← citeshttps://doi.org/10.3354/esr01007openalex-snapshot
Using small drones to photo-identify Antillean manatees: a novel method for monitoring an endangered marine mammal in the Caribbean Sea
inferred← citeshttps://doi.org/10.3389/fmars.2016.00277openalex-snapshot
Noise Levels of Multi-Rotor Unmanned Aerial Vehicles with Implications for Potential Underwater Impacts on Marine Mammals
inferred← citeshttps://doi.org/10.3389/fmars.2018.00316openalex-snapshot
Bottlenose Dolphins and Antillean Manatees Respond to Small Multi-Rotor Unmanned Aerial Systems
inferred← citeshttps://doi.org/10.3389/fmars.2021.640338openalex-snapshot
A Novel Method for Using Small Unoccupied Aerial Vehicles to Survey Wildlife Species and Model Their Density Distribution
inferred← citeshttps://doi.org/10.3389/fmars.2021.648772openalex-snapshot
Drones Minimize Antarctic Predator Responses Relative to Ground Survey Methods: An Appeal for Context in Policy Advice
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Developing UAV Monitoring of South Georgia and the South Sandwich Islands’ Iconic Land-Based Marine Predators
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How low can you go? Exploring impact of drones on haul out behaviour of harbour - and grey seals
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Drones for Conservation in Protected Areas: Present and Future
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Drone-Monitoring: Improving the Detectability of Threatened Marine Megafauna
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Using Drones with Thermal Imaging to Estimate Population Counts of European Hare (Lepus europaeus) in Denmark
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Unmanned Aerial Vehicles (UAVs) in Marine Mammal Research: A Review of Current Applications and Challenges
inferred← citeshttps://doi.org/10.3390/drones8050193openalex-snapshot
Strategies for Optimized UAV Surveillance in Various Tasks and Scenarios: A Review
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Networked Unmanned Aerial Vehicles for Surveillance and Monitoring: A Survey
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The Use of Unmanned Aerial Systems in Marine Mammal Research
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Some Problems of Deployment and Navigation of Civilian Aerial Drones
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Integration of UAS-based spatial surveys and bio-logging tracking enhances precision in population size estimation
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Cetacean population monitoring : the merits and challenges of combining acoustic and visual data
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