Standard
Predicting tick abundance in Southern Scandinavia using machine learning techniques and satellite imagery – a part of the ScandTick Innovation project. / Kjær, Lene Jung; Korslund, L.; Kjelland, V.; Slettan, A.; Andreassen, Å. K.; Paulsen, K. M.; Christensson, M.; Kjellander, P.; Teräväinen, M.; Soleng, A.; Edgar, K. S.; Lindstedt, H. H.; Schou, Kirstine Klitgaard; Bødker, René.
2017.
Research output: Contribution to conference › Paper › Research
Harvard
Kjær, LJ, Korslund, L, Kjelland, V, Slettan, A, Andreassen, ÅK, Paulsen, KM, Christensson, M, Kjellander, P, Teräväinen, M, Soleng, A, Edgar, KS, Lindstedt, HH, Schou, KK
& Bødker, R 2017, '
Predicting tick abundance in Southern Scandinavia using machine learning techniques and satellite imagery – a part of the ScandTick Innovation project'. <
http://flåttsenteret.no/2015/11/nortick-2016/>
APA
Kjær, L. J., Korslund, L., Kjelland, V., Slettan, A., Andreassen, Å. K., Paulsen, K. M., Christensson, M., Kjellander, P., Teräväinen, M., Soleng, A., Edgar, K. S., Lindstedt, H. H., Schou, K. K.
, & Bødker, R. (2017).
Predicting tick abundance in Southern Scandinavia using machine learning techniques and satellite imagery – a part of the ScandTick Innovation project.
http://flåttsenteret.no/2015/11/nortick-2016/
Vancouver
Kjær LJ, Korslund L, Kjelland V, Slettan A, Andreassen ÅK, Paulsen KM et al. Predicting tick abundance in Southern Scandinavia using machine learning techniques and satellite imagery – a part of the ScandTick Innovation project. 2017.
Author
Kjær, Lene Jung ; Korslund, L. ; Kjelland, V. ; Slettan, A. ; Andreassen, Å. K. ; Paulsen, K. M. ; Christensson, M. ; Kjellander, P. ; Teräväinen, M. ; Soleng, A. ; Edgar, K. S. ; Lindstedt, H. H. ; Schou, Kirstine Klitgaard ; Bødker, René. / Predicting tick abundance in Southern Scandinavia using machine learning techniques and satellite imagery – a part of the ScandTick Innovation project.
Bibtex
@conference{1ff3d3f1a5874d3180f335985bc3c43c,
title = "Predicting tick abundance in Southern Scandinavia using machine learning techniques and satellite imagery – a part of the ScandTick Innovation project",
author = "Kj{\ae}r, {Lene Jung} and L. Korslund and V. Kjelland and A. Slettan and Andreassen, {{\AA}. K.} and Paulsen, {K. M.} and M. Christensson and P. Kjellander and M. Ter{\"a}v{\"a}inen and A. Soleng and Edgar, {K. S.} and Lindstedt, {H. H.} and Schou, {Kirstine Klitgaard} and Ren{\'e} B{\o}dker",
note = "NorTick Conference 2017 ; Conference date: 07-02-2017 Through 08-02-2017",
year = "2017",
language = "English",
}
RIS
TY - CONF
T1 - Predicting tick abundance in Southern Scandinavia using machine learning techniques and satellite imagery – a part of the ScandTick Innovation project
AU - Kjær, Lene Jung
AU - Korslund, L.
AU - Kjelland, V.
AU - Slettan, A.
AU - Andreassen, Å. K.
AU - Paulsen, K. M.
AU - Christensson, M.
AU - Kjellander, P.
AU - Teräväinen, M.
AU - Soleng, A.
AU - Edgar, K. S.
AU - Lindstedt, H. H.
AU - Schou, Kirstine Klitgaard
AU - Bødker, René
N1 - NorTick Conference 2017 ; Conference date: 07-02-2017 Through 08-02-2017
PY - 2017
Y1 - 2017
M3 - Paper
ER -
