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tRackIT OS: Open-source Software for Reliable VHF Wildlife Tracking

dc.contributor.authorHöchst, Jonas
dc.contributor.authorGottwald, Jannis
dc.contributor.authorLampe, Patrick
dc.contributor.authorZobel, Julian
dc.contributor.authorNauss, Thomas
dc.contributor.authorSteinmetz, Ralf
dc.contributor.authorFreisleben, Bernd
dc.date.accessioned2021-12-14T10:57:24Z
dc.date.available2021-12-14T10:57:24Z
dc.date.issued2021
dc.description.abstractWe present tRackIT OS, open-source software for reliable VHF radio tracking of (small) animals in their wildlife habitat. tRackIT OS is an operating system distribution for tRackIT stations that receive signals emitted by VHF tags mounted on animals and are built from low-cost commodity-off-the-shelf hardware. tRackIT OS provides software components for VHF signal processing, system monitoring, configuration management, and user access. In particular, it records, stores, analyzes, and transmits detected VHF signals and their descriptive features, e.g., to calculate bearings of signals emitted by VHF radio tags mounted on animals or to perform animal activity classification. Furthermore, we provide results of an experimental evaluation carried out in the Marburg Open Forest, the research and teaching forest of the University of Marburg, Germany. All components of tRackIT OS are available under a GNU GPL 3.0 open source license at https://github.com/nature40/tRackIT-OS.en
dc.identifier.doi10.18420/informatik2021-035
dc.identifier.isbn978-3-88579-708-1
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/37699
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofINFORMATIK 2021
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-314
dc.subjectRadio Tracking
dc.subjectMarburg Open Forest
dc.subjectOpen Source
dc.subjectMovement Ecology
dc.titletRackIT OS: Open-source Software for Reliable VHF Wildlife Trackingen
gi.citation.endPage442
gi.citation.startPage425
gi.conference.date27. September - 1. Oktober 2021
gi.conference.locationBerlin
gi.conference.sessiontitleWorkshop: Computer Science for Biodiversity (CS4BIODiversity)

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