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dc.contributor.authorSeze, Genevieve
dc.contributor.authorDesbois, Michel
dc.date.accessioned2017-06-09T14:01:40Z
dc.date.available2017-06-09T14:01:40Z
dc.date.copyright1987/02/01
dc.date.issued1987
dc.identifier.issn0733-3021
dc.identifier.otherams-11141.pdf
dc.identifier.urihttp://onlinelibrary.yabesh.ir/handle/yetl/4146337
dc.description.abstractNew developments of a cloud classification scheme based on histogram clustering by a statistical method are presented. Use of time series of geostationary satellite pictures as well as for construction of composite images representative of the surface properties and then for the identification of significative cloud classes is discussed. Spatial variances are introduced as additional parameters of the classification, with the aim to better separate clouds from the surface and the different kinds of more or less homogeneous cloud classes.
dc.publisherAmerican Meteorological Society
dc.titleCloud Cover Analysis from Satellite Imagery Using Spatial and Temporal Characteristics of the Data
dc.typeJournal Paper
dc.journal.volume26
dc.journal.issue2
dc.journal.titleJournal of Climate and Applied Meteorology
dc.identifier.doi10.1175/1520-0450(1987)026<0287:CCAFSI>2.0.CO;2
dc.journal.fristpage287
dc.journal.lastpage303
dc.treeJournal of Climate and Applied Meteorology:;1987:;Volume( 026 ):;Issue: 002
dc.contenttypeFulltext


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