Training Metadata for Mäkinen et al. (2022) Bayesian Classification of Non-Meteorological Targets in Polarimetric Doppler Radar Measurements

DOI

Training metadata for Bayesian radar target classifier. The XML file describes selections into the Finnish Meteorological Institute radar data archive, defined by file name, scan angle, bounds of the annulus sector, and the manually assigned class of radar echo in the selection.

Identifier
DOI https://doi.org/10.23728/fmi-b2share.f0e71d5586b249ee8683e719dcb5af06
Source https://fmi.b2share.csc.fi/records/kryvz-rsz29
Metadata Access https://fmi.b2share.csc.fi/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:b2share-:kryvz-rsz29
Provenance
Creator Mäkinen, Terhi; Ritvanen, Jenna; Pulkkinen, Seppo; Weisshaupt, Nadja; Koistinen, Jarmo
Publisher Finnish Meteorological Institute
Publication Year 2021
Rights Creative Commons Zero v1.0 Universal
OpenAccess true
Contact terhi.makinen(at)fmi.fi
Representation
Language English
Resource Type Dataset
Format text/xml
Size 2.0 MB; 1 file
Discipline Geophysics; non-meteorological radar echo classification; Bayesian classification