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Particulate matter concentrations derived from airborne high spectral resolution lidar measurements using machine learning regression.

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Title: Particulate matter concentrations derived from airborne high spectral resolution lidar measurements using machine learning regression.
Authors: Ferrare, Richard1 (AUTHOR) r.a.ferrare@gmail.com, Hair, Johnathan1 (AUTHOR), Shingler, Taylor1 (AUTHOR), Hostetler, Chris1 (AUTHOR), Nehrir, Amin1 (AUTHOR), Fenn, Marta2 (AUTHOR), Scarino, Amy Jo2 (AUTHOR), Burton, Sharon1 (AUTHOR), Clayton, Marian2 (AUTHOR), Collins, James2 (AUTHOR), Judd, Laura1 (AUTHOR), Crawford, James1 (AUTHOR), Travis, Katherine1 (AUTHOR), Toth, Travis1 (AUTHOR), Saide, Pablo3,4 (AUTHOR), Jimenez, Jose Luis5,6 (AUTHOR), Campuzano-Jost, Pedro5,6 (AUTHOR), Symonds, Guy5,6 (AUTHOR), Moore, Richard1 (AUTHOR), Ziemba, Luke1 (AUTHOR)
Source: Atmospheric Measurement Techniques. 2025, Vol. 18 Issue 24, p7735-7766. 32p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Atmospheric+Measurement+Techniques%22">Atmospheric Measurement Techniques</searchLink>. 2025, Vol. 18 Issue 24, p7735-7766. 32p.
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