Drone-based photogrammetry combined with deep learning to estimate hail size distributions and melting of hail on the ground

Lainer, Martin; Brennan, Killian P.; Hering, Alessandro; Kopp, Jérôme; Monhart, Samuel; Wolfensberger, Daniel; Germann, Urs

doi:10.5194/amt-17-2539-2024

Artikel / Aufsatz Mai 2024 CC BY 4.0

Veröffentlicht

Drone-based photogrammetry combined with deep learning to estimate hail size distributions and melting of hail on the ground

Lainer, Martin; Brennan, Killian P.; Hering, Alessandro; Kopp, Jérôme; Monhart, Samuel; Wolfensberger, Daniel; Germann, Urs

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Einordnung

Erschienen in:: Atmospheric Measurement Techniques
Bd. 17, H. 8 (05.2024), S. 2539-2557
Band:: 17
Heft:: 8
Erscheinungsdatum:: 05.2024
DOI:: 10.5194/amt-17-2539-2024
Sonstiger Identifikator (importID):: oai:publications.copernicus.org:amt111065
Sprache:: Englisch
Ressourcentyp:: Text
Verlag:: Copernicus Publications
Art der Ablieferung:: Verlagsveröffentlichung
Link zum Volltext:: https://amt.copernicus.org/articles/17/2539/2024/amt-17-2539-2024.pdf

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Zitierform:

Lainer, Martin / Brennan, Killian P. / Hering, Alessandro / et al: Drone-based photogrammetry combined with deep learning to estimate hail size distributions and melting of hail on the ground. 2024. Copernicus Publications.

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