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

Description

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.

Year of publication

2021

Type of data

Authors

Finnish Meteorological Institute - Publisher

Koistinen, Jarmo - Creator

Mäkinen, Terhi - Creator

Pulkkinen, Seppo - Creator

Ritvanen, Jenna - Creator

Weisshaupt, Nadja - Creator

Project

Other information

Fields of science

Geosciences

Language

English

Open access

Open

License

Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication

Keywords

INSPIRE theme: climatologyMeteorologyAtmosphere, non-meteorological radar echo classification; Bayesian classification

Subject headings

Temporal coverage

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