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...
Main Authors: | , , , , |
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Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Geographical Society of Finland
1985
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Subjects: | |
Online Access: | https://fennia.journal.fi/article/view/9060 |