Quantifying and reducing epistemic uncertainty of passive acoustic telemetry data from longitudinal aquatic systems

Research output: Contribution to journal › A1: Web of Science-article › peer-review

Thematic List 2020

@article{eb0b6daf94e6416783857b326c3b5737,

title = "Quantifying and reducing epistemic uncertainty of passive acoustic telemetry data from longitudinal aquatic systems",

author = "Stijn Bruneel and Pieterjan Verhelst and J Reubens and J Baetens and Johan Coeck and Tom Moens and P Goethals",

year = "2020",

month = sep,

doi = "10.1016/j.ecoinf.2020.101133",

language = "English",

volume = "59",

journal = "Ecological Informatics",

issn = "1574-9541",

publisher = "Elsevier",

}

TY - JOUR

T1 - Quantifying and reducing epistemic uncertainty of passive acoustic telemetry data from longitudinal aquatic systems

AU - Bruneel, Stijn

AU - Verhelst, Pieterjan

AU - Reubens, J

AU - Baetens, J

AU - Coeck, Johan

AU - Moens, Tom

AU - Goethals, P

PY - 2020/9

Y1 - 2020/9

U2 - 10.1016/j.ecoinf.2020.101133

DO - 10.1016/j.ecoinf.2020.101133

M3 - A1: Web of Science-article

SN - 1574-9541

VL - 59

JO - Ecological Informatics

JF - Ecological Informatics

M1 - 101133

ER -