Lizzie Pearmain

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@LizziePearmain

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Lizzie Pearmain

University of Cambridge & British Antarctic Survey (BAS)

Analysing seabird tracking data to inform marine conservation.

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United Kingdom

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Marine Conservation

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Enhancing automated analysis of marine soundscapes using eco-acoustic indices and machine learning

Bringing together many of our community's tech types like bioacoustics, biologging, drones, remote sensing, machine learning, and more, the Marine Conservation group is a meeting point to begin innovative collaborations and answer difficult questions.

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New app aims to take a bite out of illegal shark fin trade

Powered by artificial intelligence, a new app called Fin Finder enables customs inspectors to take a photo of a shark or ray fin and identify it within seconds. Developed by Conservation International in partnership with Singapore’s National Parks Board, and supported by Microsoft and other partners, this app could help governments confiscate illegal animal parts that are hidden in plain sight.

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Biologging

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New Conservation Tech Directory update

Real-time tracking of animal movements is enabling more effective and efficient wildlife monitoring for management, security, and research. As devices get smaller and prices drop, the possibilities for using biologging on a larger scale have grown, and so have the possibilities for increasing customisation to meet specific research needs. Likewise, real-time tracking of illegal wildlife trade, timber, and fish products as they move from source to consumer can shed light on trafficking routes and actors, as well as support enforcement, making tracking gear a powerful tool beyond the field.

Latest Resource
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WILDLABS Virtual Meetup: Future Questions & Tools in Movement Ecology (Recording)

Our fourth and final meetup in Season 4 explored the future of movement ecology, including tools that could change the game and questions we might not yet have thought to ask. On June 8, we heard short talks from leading experts Christian Rutz, Ran Nathan, Martin Wikelski, and Tanya Berger-Wolf, followed by open discussion and community exchange.

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AI for Conservation

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New Conservation Tech Directory update

Artificial intelligence is increasingly being used in the field to analyse information collected by wildlife conservationists, from camera trap and satellite images to audio recordings. AI can learn how to identify which photos out of thousands contain rare species; or pinpoint an animal call out of hours of field recordings - hugely reducing the manual labour required to collect vital conservation data.

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Bird Sounds Global web portal

A new web portal for annotating bird sounds has been opened called Bird Sounds Global (BSG). It is part of project LIFEPLAN, and its key objective is to develop global, automated software for bird sound identification.

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Remote Sensing & GIS

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New Conservation Tech Directory update

Every day, mapping and spatial analysis are aiding conservation decisions, protected areas designation, habitat management on reserves and monitoring of wildlife populations, to name but a few examples. If you are excited by the ways in which GIS is used in conservation, this is the group for you!

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New Paper: Comparative Analysis of Multi-Platform, Multi-Resolution, Multi-Temporal LiDAR Data for Forest Inventory

This study presents a comprehensive comparison of point clouds from four systems, linear and Geiger-mode LiDAR from manned aircraft and multi-beam LiDAR on unmanned aerial vehicle (UAV), and in-house developed Backpack, with the consideration of different forest canopy cover scenarios.

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Build Your Own Data Logger Community

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Take the Build Your Own Data Logger Survey: End of Course Feedback

Welcome to the official group forum for our virtual course, Build Your Own Data Logger. This is your space to engage with course instructors Akiba and Jacinta from Freaklabs, find help and resources for each module, collaborate and chat with your fellow course participants, and share your progress on your own Data Logger project!

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Module 8: In the Field

Welcome to the eighth and final module of our Build Your Own Data Logger virtual course. We’ve built, coded and tested our data logger. Now we’re taking it into the field.

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