Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

SteinmannRene/decoding_footsteps: Code for Decoding the Footsteps of the African Savanna: Classifying Wildlife Using Seismic Signals and Machine Learning

Domain:

environment and energy

Record type:

software
Creator:
Rene Steinmann
Publisher:
Zenodo
Host:avatar

This repository provides the codes for reproducing the results and figures of the paper Decoding the Footsteps of the African Savanna: Classifying Wildlife Using Seismic Signals and Machine Learning by Steinmann et al. 2024 published in Methods in Ecology and Evolution.

Visit

doi.org

Licenses

info:eu-repo/semantics/openAccessMIT Licensehttps://opensource.org/licenses/MIT

Similar

Decoding the footsteps of the African savanna: Classifying wildlife using seismic signals and machine learningSeismic Footsteps: Harnessing Machine Learning to Decode Wildlife in the African Savanna

Decoding the footsteps of the African savanna: Classifying wildlife using seismic signals and machine learning

1. In recent years, seismic sensors, traditionally used in geophysical studies, have been utilized t

Seismic Footsteps: Harnessing Machine Learning to Decode Wildlife in the African Savanna

Seismic sensors, traditionally used in geophysical studies, are emerging as non-invasive tools for c