Drone-based photogrammetry combined with deep learning to estimate hail size distributions and melting of hail on the ground
Abstract m 2 45 1.5 mm per pixel, defined by the focal length of 35 mm of the camera and a flight altitude of 12 m above the ground. A 2-dimensional orthomosaic model of the survey area (750.4 m 2 18.65 min facilitate investigations into the hail-melting process on the ground.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Drone-based photogrammetry combined with deep learning to estimate hail size distributions and melting of hail on the ground ; volume:17 ; number:8 ; year:2024 ; pages:2539-2557 ; extent:19
Atmospheric measurement techniques ; 17, Heft 8 (2024), 2539-2557 (gesamt 19)
- Creator
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Lainer, Martin
Brennan, Killian P.
Hering, Alessandro
Kopp, Jérôme
Monhart, Samuel
Wolfensberger, Daniel
Germann, Urs
- DOI
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10.5194/amt-17-2539-2024
- URN
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urn:nbn:de:101:1-2405090441489.794543984150
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 11:00 AM CEST
Data provider
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Lainer, Martin
- Brennan, Killian P.
- Hering, Alessandro
- Kopp, Jérôme
- Monhart, Samuel
- Wolfensberger, Daniel
- Germann, Urs
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