Seismic savanna: machine learning for classifying wildlife and behaviours using ground‐based vibration field recordings

Seismic savanna: machine learning for classifying wildlife and behaviours using ground‐based vibration field recordings

Abstract We develop a machine learning approach to detect and discriminate elephants from other species, and to recognise important behaviours such as running and rumbling, based only on seismic data generated by the animals. We demonstrate our approach using data acquired in the Kenyan savanna, con...

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Bibliographic Details
Main Authors: Alexandre Szenicer, Michael Reinwald, Ben Moseley, Tarje Nissen‐Meyer, Zachary Mutinda Muteti, Sandy Oduor, Alex McDermott‐Roberts, Atilim G. Baydin, Beth Mortimer
Format: Article
Language:English
Published: Wiley 2022-04-01
Series:Remote Sensing in Ecology and Conservation
Subjects:
African elephant
machine learning
seismic waves
wildlife monitoring
Online Access:https://doi.org/10.1002/rse2.242

Internet

https://doi.org/10.1002/rse2.242

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