2026-04-19T11:41:28Z
https://fmi.b2share.csc.fi/oai2d
oai:b2share-:kryvz-rsz29
2025-12-10T12:42:07Z
community-fmi
https://fmi.b2share.csc.fi/records/kryvz-rsz29
10.23728/fmi-b2share.f0e71d5586b249ee8683e719dcb5af06
https://etsin.fairdata.fi/dataset/1ffbcb0c-a42f-4f58-8d04-96d18a594f2b
FMI
Training Metadata for Mäkinen et al. (2022) Bayesian Classification of Non-Meteorological Targets in Polarimetric Doppler Radar Measurements
Mäkinen, Terhi
Ritvanen, Jenna
Pulkkinen, Seppo
Weisshaupt, Nadja
Koistinen, Jarmo
2021
Finnish Meteorological Institute
Dataset
eng
3.3.10 → Earth sciences → Geophysics
non-meteorological radar echo classification; Bayesian classification
text/xml
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.
Creative Commons Zero v1.0 Universal
2.0 MB
1 file
terhi.makinen@fmi.fi