Physical model of snow precipitation interaction with a 3D lidar scanner
Snow precipitation interaction with a generic 3D lidar is modeled. The randomness and the intensity of the signal as a function of the visibility and snowflake size and density distribution are reproduced. To do so, a representative snow density distribution is modeled as a function of visibility. Taking into account the laser beam and pulse characteristics, the probability to have one or many snowflakes of a given size in the lidar sampling cell is calculated. Knowing the number and the size of the snowflakes, the magnitude of the lidar signal is calculated. Finally, a filtering algorithm based on the relative intensity of the snowflakes is discussed.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2020 |
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Erschienen: |
2020 |
Enthalten in: |
Zur Gesamtaufnahme - volume:59 |
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Enthalten in: |
Applied optics - 59(2020), 25 vom: 01. Sept., Seite 7660-7669 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Roy, Gilles [VerfasserIn] |
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Links: |
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Anmerkungen: |
Date Revised 10.09.2020 published: Print Citation Status PubMed-not-MEDLINE |
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doi: |
10.1364/AO.393059 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM314751041 |
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520 | |a Snow precipitation interaction with a generic 3D lidar is modeled. The randomness and the intensity of the signal as a function of the visibility and snowflake size and density distribution are reproduced. To do so, a representative snow density distribution is modeled as a function of visibility. Taking into account the laser beam and pulse characteristics, the probability to have one or many snowflakes of a given size in the lidar sampling cell is calculated. Knowing the number and the size of the snowflakes, the magnitude of the lidar signal is calculated. Finally, a filtering algorithm based on the relative intensity of the snowflakes is discussed | ||
650 | 4 | |a Journal Article | |
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700 | 1 | |a Bernier, Robert |e verfasserin |4 aut | |
700 | 1 | |a Tremblay, Grégoire |e verfasserin |4 aut | |
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