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A comparison of manual and automated detection of rusa deer (Rusa timorensis) from RPAS-derived thermal imagery

https://doi.org/10.1071/wr20169

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Unmanned aircraft systems in wildlife research: current and future applications of a transformative technology

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Evaluating the Use of Drones Equipped with Thermal Sensors as an Effective Method for Estimating Wildlife

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Visible and thermal infrared remote sensing for the detection of white‐tailed deer using an unmanned aerial system

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Best practice for minimising unmanned aerial vehicle disturbance to wildlife in biological field research

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Automated detection of koalas using low-level aerial surveillance and machine learning

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Integrating data from different survey types for population monitoring of an endangered species: the case of the Eld’s deer

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Precision wildlife monitoring using unmanned aerial vehicles

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The liberation, distribution, abundance and management of wild deer in Australia

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Control of pest mammals for biodiversity protection in Australia. I. Patterns of control and monitoring

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A systematic review of the impacts and management of introduced deer (family Cervidae) in Australia

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Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning

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Using object-based analysis of image data to count birds: mapping of Lesser Flamingos at Kamfers Dam, Northern Cape, South Africa

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Adapting astronomical source detection software to help detect animals in thermal images obtained by unmanned aerial systems

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Population status, biology and ecology of the Maral,Cervus elaphus maral, in Golestan National Park, Iran

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Feral Deer in the Suburbs: An Emerging Issue for Australia?

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Fast animal detection in UAV images using convolutional neural networks

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Animal Detection From Highly Cluttered Natural Scenes Using Spatiotemporal Object Region Proposals and Patch Verification

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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

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Fine-Tuning CNN Image Retrieval with No Human Annotation

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How do you find the green sheep? A critical review of the use of remotely sensed imagery to detect and count animals

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Drones count wildlife more accurately and precisely than humans

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Applications for deep learning in ecology

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Detectability and visibility biases associated with using a consumer-grade unmanned aircraft to survey nesting colonial waterbirds

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Introduced deer and their potential role in disease transmission to livestock in Australia

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A comparison of traffic estimates of nocturnal flying animals using radar, thermal imaging, and acoustic recording

inferredcites →https://doi.org/10.2193/0022-541x(2005)069[0837:mowdia]2.0.co;2openalex-snapshot

MANAGEMENT OF WILD DEER IN AUSTRALIA

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

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Animal Detection Using Thermal Images and Its Required Observation Conditions

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A REVIEW OF THE METHODS FOR MONITORING ROE DEER EUROPEAN POPULATIONS WITH PARTICULAR REFERENCE TO ITALY

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WILDLIFE MULTISPECIES REMOTE SENSING USING VISIBLE AND THERMAL INFRARED IMAGERY ACQUIRED FROM AN UNMANNED AERIAL VEHICLE (UAV)

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Estimating relative density of an invasive ungulate in a biodiversity hotspot using drone-based thermal video surveys

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On the move: Influence of animal movements on count error during drone surveys

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Imperfect detection and wildlife density estimation using aerial surveys with infrared and visible sensors

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An empirical study of automatic wildlife detection using drone-derived imagery and object detection

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Collectively advancing deep learning for animal detection in drone imagery: Successes, challenges, and research gaps

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Automated detection of moose and deer in thermal imagery using unmanned aerial vehicles and deep learning

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Assessing sampling error associated with animal movements and distributions across drone monitoring strategies

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Detection of rabbit and wombat warrens in broad-scale satellite imagery

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Foreword to the Special Issue on ‘The rapidly expanding role of drones as a tool for wildlife research’

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Ecology, impacts and management of wild deer in Australia

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Comparison of thermal cameras and human observers to estimate population density of fallow deer (Dama dama) from aerial surveys in Tasmania, Australia

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Resilient wildlife of the sprawling suburbia of south-eastern Sydney

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Use of Artificial Intelligence to Understand Biodiversity and Biodiversity Trends

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Supplementing aerial drone surveys with biotelemetry data validates wildlife detection probabilities

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YOLO-Based UAV Technology: A Review of the Research and Its Applications

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A Single Drone as Two Observers: Increasing Wildlife Detection Availability in Complex Environments Using Repeated Drone Flights with Offset Paths

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Evaluation of Automated Object-Detection Algorithms for Koala Detection in Infrared Aerial Imagery

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Automated detection of koalas with deep learning ensembles

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