Matches in SemOpenAlex for { <https://semopenalex.org/work/W4214497355> ?p ?o ?g. }
- W4214497355 endingPage "1032" @default.
- W4214497355 startingPage "1021" @default.
- W4214497355 abstract "Abstract. Pollen is nowadays recognized as one of the main atmospheric particles affecting public human health as well as the Earth's climate. In this context, an important issue concerns our ability to detect and differentiate among the existing pollen taxa. In this paper, the potential differences that may exist in light scattering by four of the most common pollen taxa, namely ragweed, birch, pine and ash, are analysed in the framework of the scattering matrix formalism at two wavelengths simultaneously (532 and 1064 nm). Interestingly, our laboratory experimental error bars are precise enough to show that these four pollen taxa, when embedded in ambient air, exhibit different spectral and polarimetric light-scattering characteristics, in the form of 10 scattering matrix elements (5 per wavelength), which allow each to be identified separately. To end with, a simpler light-scattering criterion is proposed for classification among the four considered pollen taxa by performing a principal component (PC) analysis, which still accounts for more than 99 % of the observed variance. We thus believe this work may open new insights for future atmospheric pollen detection." @default.
- W4214497355 created "2022-03-02" @default.
- W4214497355 creator A5005646233 @default.
- W4214497355 creator A5034974034 @default.
- W4214497355 creator A5051432849 @default.
- W4214497355 creator A5058811708 @default.
- W4214497355 creator A5079240147 @default.
- W4214497355 creator A5079491938 @default.
- W4214497355 date "2022-02-25" @default.
- W4214497355 modified "2023-09-27" @default.
- W4214497355 title "Laboratory evaluation of the scattering matrix of ragweed, ash, birch and pine pollen towards pollen classification" @default.
- W4214497355 cites W1681064571 @default.
- W4214497355 cites W1975015817 @default.
- W4214497355 cites W1977793029 @default.
- W4214497355 cites W1987349793 @default.
- W4214497355 cites W1995451497 @default.
- W4214497355 cites W1996417203 @default.
- W4214497355 cites W2005177858 @default.
- W4214497355 cites W2013392009 @default.
- W4214497355 cites W2015978072 @default.
- W4214497355 cites W2019520849 @default.
- W4214497355 cites W2021466390 @default.
- W4214497355 cites W2037297083 @default.
- W4214497355 cites W2049759522 @default.
- W4214497355 cites W2060257233 @default.
- W4214497355 cites W2060527307 @default.
- W4214497355 cites W2076028596 @default.
- W4214497355 cites W2076485300 @default.
- W4214497355 cites W2077485748 @default.
- W4214497355 cites W2115714775 @default.
- W4214497355 cites W2134262590 @default.
- W4214497355 cites W2151960980 @default.
- W4214497355 cites W2293572057 @default.
- W4214497355 cites W2416956474 @default.
- W4214497355 cites W2429676946 @default.
- W4214497355 cites W2510718844 @default.
- W4214497355 cites W2771067020 @default.
- W4214497355 cites W2804694899 @default.
- W4214497355 cites W2884850089 @default.
- W4214497355 cites W2908793133 @default.
- W4214497355 cites W2918549085 @default.
- W4214497355 cites W2918984341 @default.
- W4214497355 cites W2992239651 @default.
- W4214497355 cites W3015202826 @default.
- W4214497355 cites W3016825224 @default.
- W4214497355 cites W3042321381 @default.
- W4214497355 cites W3089984071 @default.
- W4214497355 cites W3094532676 @default.
- W4214497355 cites W3099514962 @default.
- W4214497355 cites W3164533065 @default.
- W4214497355 cites W3180753310 @default.
- W4214497355 cites W36118961 @default.
- W4214497355 cites W4200076749 @default.
- W4214497355 cites W4241469238 @default.
- W4214497355 cites W9586707 @default.
- W4214497355 cites W997424077 @default.
- W4214497355 doi "https://doi.org/10.5194/amt-15-1021-2022" @default.
- W4214497355 hasPublicationYear "2022" @default.
- W4214497355 type Work @default.
- W4214497355 citedByCount "5" @default.
- W4214497355 countsByYear W42144973552022 @default.
- W4214497355 countsByYear W42144973552023 @default.
- W4214497355 crossrefType "journal-article" @default.
- W4214497355 hasAuthorship W4214497355A5005646233 @default.
- W4214497355 hasAuthorship W4214497355A5034974034 @default.
- W4214497355 hasAuthorship W4214497355A5051432849 @default.
- W4214497355 hasAuthorship W4214497355A5058811708 @default.
- W4214497355 hasAuthorship W4214497355A5079240147 @default.
- W4214497355 hasAuthorship W4214497355A5079491938 @default.
- W4214497355 hasBestOaLocation W42144973551 @default.
- W4214497355 hasConcept C120456961 @default.
- W4214497355 hasConcept C120665830 @default.
- W4214497355 hasConcept C121332964 @default.
- W4214497355 hasConcept C151730666 @default.
- W4214497355 hasConcept C191486275 @default.
- W4214497355 hasConcept C203014093 @default.
- W4214497355 hasConcept C207480886 @default.
- W4214497355 hasConcept C2779343474 @default.
- W4214497355 hasConcept C2780618852 @default.
- W4214497355 hasConcept C2780931586 @default.
- W4214497355 hasConcept C39432304 @default.
- W4214497355 hasConcept C59822182 @default.
- W4214497355 hasConcept C6260449 @default.
- W4214497355 hasConcept C86803240 @default.
- W4214497355 hasConceptScore W4214497355C120456961 @default.
- W4214497355 hasConceptScore W4214497355C120665830 @default.
- W4214497355 hasConceptScore W4214497355C121332964 @default.
- W4214497355 hasConceptScore W4214497355C151730666 @default.
- W4214497355 hasConceptScore W4214497355C191486275 @default.
- W4214497355 hasConceptScore W4214497355C203014093 @default.
- W4214497355 hasConceptScore W4214497355C207480886 @default.
- W4214497355 hasConceptScore W4214497355C2779343474 @default.
- W4214497355 hasConceptScore W4214497355C2780618852 @default.
- W4214497355 hasConceptScore W4214497355C2780931586 @default.
- W4214497355 hasConceptScore W4214497355C39432304 @default.
- W4214497355 hasConceptScore W4214497355C59822182 @default.
- W4214497355 hasConceptScore W4214497355C6260449 @default.
- W4214497355 hasConceptScore W4214497355C86803240 @default.