Improved cloud and snow screening in MAIAC aerosol retrievals using spectral and spatial analysis

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dc.contributor.authorLyapustin, A.
dc.contributor.authorWang, Yujie
dc.contributor.authorLaszlo, I.
dc.contributor.authorKorkin, Sergey
dc.date.accessioned2024-09-04T19:58:12Z
dc.date.available2024-09-04T19:58:12Z
dc.date.issued2012-04-27
dc.description.abstractAn improved cloud/snow screening technique in the Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm is described. It is implemented as part of MAIAC aerosol retrievals based on analysis of spectral residuals and spatial variability. Comparisons with AERONET aerosol observations and a large-scale MODIS data analysis show strong suppression of aerosol optical thickness outliers due to unresolved clouds and snow. At the same time, the developed filter does not reduce the aerosol retrieval capability at high 1 km resolution in strongly inhomogeneous environments, such as near centers of the active fires. Despite significant improvement, the optical depth outliers in high spatial resolution data are and will remain the problem to be addressed by the application-dependent specialized filtering techniques.
dc.description.sponsorshipThe research of A. Lyapustin, Y. Wang and S. Korkin was funded by the NASA Terrestrial Ecology Program (D. Wickland), NASA Applications Program (L. Friedl, B. Doorn) and in part by the NOAA GOES-R program (M. Goldberg). The work of I. Laszlo is supported by the NOAA GOES-R program. We are grateful to AERONET team for providing data.
dc.description.urihttps://amt.copernicus.org/articles/5/843/2012/
dc.format.extent8 pages
dc.genrejournal articles
dc.identifierdoi:10.13016/m2znwo-jrjr
dc.identifier.citationLyapustin, A., Y. Wang, I. Laszlo, and S. Korkin. “Improved Cloud and Snow Screening in MAIAC Aerosol Retrievals Using Spectral and Spatial Analysis.” Atmospheric Measurement Techniques 5, no. 4 (April 27, 2012): 843–50. https://doi.org/10.5194/amt-5-843-2012.
dc.identifier.urihttps://doi.org/10.5194/amt-5-843-2012
dc.identifier.urihttp://hdl.handle.net/11603/35936
dc.language.isoen_US
dc.publisherEGU
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC GESTAR II
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology (JCET)
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
dc.rightsPublic Domain
dc.rights.urihttps://creativecommons.org/publicdomain/mark/1.0/
dc.titleImproved cloud and snow screening in MAIAC aerosol retrievals using spectral and spatial analysis
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0002-5576-6711
dcterms.creatorhttps://orcid.org/0000-0001-6514-5233

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