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M. Teräväinen
M. Teräväinen
Swedish University of Agricultural Sciences
Remote sensing
Satellite imagery
Geography
Tick
Ecology
5
Papers
19
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Modelling risk of tick exposure in southern Scandinavia using machine learning techniques, satellite imagery, and human population density maps
2017
Lene Jung Kjær
Lars Korslund
Vivian Kjelland
Audun Slettan
Åshild Kristine Andreassen
K. M. Paulsen
Madeleine Christensson
Petter Kjellander
M. Teräväinen
Arnulf Soleng
K. S. Edgar
Heidi Heggen Lindstedt
Kirstine Klitgaard Schou
Rene Bødker
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Predicting tick abundance in Southern Scandinavia using machine learning techniques and satellite imagery – a part of the ScandTick Innovation project
2017
Lene Jung Kjær
Lars Korslund
Vivian Kjelland
Audun Slettan
Åshild Kristine Andreassen
K. M. Paulsen
Madeleine Christensson
Petter Kjellander
M. Teräväinen
Arnulf Soleng
K. S. Edgar
Heidi Heggen Lindstedt
Kirstine Klitgaard Schou
Rene Bødker
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