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Filtering of pulsed lidar data using spatial information and a clustering algorithm

Filtering of pulsed lidar data using spatial information and a clustering algorithm

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_41b64fc305e440d493fe70d646b4e525

Filtering of pulsed lidar data using spatial information and a clustering algorithm

About this item

Full title

Filtering of pulsed lidar data using spatial information and a clustering algorithm

Author / Creator

Publisher

Katlenburg-Lindau: Copernicus GmbH

Journal title

Atmospheric measurement techniques, 2020-11, Vol.13 (11), p.6237-6254

Language

English

Formats

Publication information

Publisher

Katlenburg-Lindau: Copernicus GmbH

More information

Scope and Contents

Contents

Wind lidars present advantages over meteorological masts, including simultaneous multipoint observations, flexibility in measuring geometry, and
reduced installation cost. But wind lidars come with the “`cost” of increased complexity in terms of data quality and analysis. Carrier-to-noise
ratio (CNR) has been the metric most commonly used to...

Alternative Titles

Full title

Filtering of pulsed lidar data using spatial information and a clustering algorithm

Authors, Artists and Contributors

Author / Creator

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_41b64fc305e440d493fe70d646b4e525

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_41b64fc305e440d493fe70d646b4e525

Other Identifiers

ISSN

1867-8548,1867-1381

E-ISSN

1867-8548

DOI

10.5194/amt-13-6237-2020

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