Remotely-sensed vegetation classification as a snow depth indicator for hydrological analysis in sub-arctic Finland

The relationship between vegetation and snow depth has been studied with a view to subsequent incorporation in hydrological modelling. Study areas were designated at Kilpisjärvi and Kevo, northern Finland, to represent vari­ations in altitude. Landsat MSS data for Kilpisjärvi were processed through...

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Bibliographic Details
Main Authors: Michael Clark, Angela M. Gurnell, Edward J. Milton, Matti Seppälä, Maarit Kyöstilä
Format: Article in Journal/Newspaper
Language:English
Published: Geographical Society of Finland 1985
Subjects:
geo
Online Access:https://doaj.org/article/61644b0c898542bda392c4f8e18a900f