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 |
| Language: | English |
| Published: |
Geographical Society of Finland
1985-02-01
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| Series: | Fennia: International Journal of Geography |
| Online Access: | https://fennia.journal.fi/article/view/9060 |