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Evaluation of UAS for photographic re-identification of bowhead whales,Balaena mysticetus
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s13253-009-0002-1openalex-snapshot
Population Estimates From Aerial Photographic Surveys of Naturally and Variably Marked Bowhead Whales
inferredcites →https://doi.org/10.1111/j.1748-7692.2002.tb01040.xopenalex-snapshot
AIRCRAFT SOUND AND DISTURBANCE TO BOWHEAD AND BELUGA WHALES DURING SPRING MIGRATION IN THE ALASKAN BEAUFORT SEA
inferredcites →https://doi.org/10.1111/j.1937-2817.2010.tb01292.xopenalex-snapshot
Small Unmanned Aircraft Systems for Low-Altitude Aerial Surveys
inferredcites →https://doi.org/10.1139/juvs-2013-0014openalex-snapshot
Small unmanned aircraft: precise and convenient new tools for surveying wetlands
inferredcites →https://doi.org/10.1139/juvs-2015-0014openalex-snapshot
Evaluation of an unmanned aircraft system for detecting surrogate caribou targets in Labrador
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-2015-0021openalex-snapshot
Wildlife research and management methods in the 21st century: Where do unmanned aircraft fit in?
inferredcites →https://doi.org/10.1371/journal.pone.0038882openalex-snapshot
Estimating Distribution of Hidden Objects with Drones: From Tennis Balls to Manatees
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/10.14430/arctic4366openalex-snapshot
Contemporary Diet of Bowhead Whales (Balaena mysticetus) from the Eastern Canadian Arctic Inferred from Fatty Acid Biomarkers
inferredcites →https://doi.org/10.1675/063.035.0119openalex-snapshot
Evaluation of an off-the-shelf Unmanned Aircraft System for Surveying Flocks of Geese
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/10.47536/jcrm.v11i2.615openalex-snapshot
Abundance of Bering-Chukchi-Beaufort bowhead whales (Balaena mysticetus) in 2004 estimated from photo-identification data
inferredcites →https://doi.org/10.47536/jcrm.v8i1.701openalex-snapshot
An approach to minimise bias in estimation of the lengthfrequency distribution of bowhead whales (Balaena mysticetus) from aerial photogrammetric data
inferredcites →https://doi.org/10.47536/jcrm.vi.296openalex-snapshot
Demographic parameters of southern right whales off South Africa
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Southern right whales show no behavioral response to low noise levels from a nearby unmanned aerial vehicle
inferred← citeshttps://doi.org/10.1111/mms.12997openalex-snapshot
Fly with care: belugas show evasive responses to low altitude drone flights
inferred← citeshttps://doi.org/10.1111/mms.13185openalex-snapshot
Pediatric Drone: Estimating morphometric measurements in spinner dolphin (Stenella longirostris) calves based on aerial photogrammetry
inferred← citeshttps://doi.org/10.1111/mms.70078openalex-snapshot
Elevating Photo‐Identification: Aerial‐Identification Improves Re‐Sight Rates and Supports Long‐Term Monitoring of Humpback Whales
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Comparing Drone and Vessel‐Based Imaging to Quantify Epibiont Coverage on Humpback Whales
inferred← citeshttps://doi.org/10.1139/as-2021-0047openalex-snapshot
Use of drones for the creation and development of a photographic identification catalogue for an endangered whale population
inferred← citeshttps://doi.org/10.1139/juvs-2015-0014openalex-snapshot
Evaluation of an unmanned aircraft system for detecting surrogate caribou targets in Labrador
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-2015-0021openalex-snapshot
Wildlife research and management methods in the 21st century: Where do unmanned aircraft fit in?
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
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A comparison of drone imagery and ground-based methods for estimating the extent of habitat destruction by lesser snow geese (Anser caerulescens caerulescens) in La Pérouse Bay
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inferred← citeshttps://doi.org/10.33612/diss.178496955openalex-snapshot
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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
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Bottlenose Dolphins and Antillean Manatees Respond to Small Multi-Rotor Unmanned Aerial Systems
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Continuous Focal Group Follows Operated by a Drone Enable Analysis of the Relation Between Sociality and Position in a Group of Male Risso’s Dolphins (Grampus griseus)
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Revue des applications et de l’utilité des drones en conservation de la faune
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