Lene Jung Kjær

Lene Jung Kjær

Associate Professor

ORCID: 0000-0001-9659-4672

Publication year:
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1 - 6 out of 6Page size: 10
  1. 2017

  2. Big data - modelling of midges in Europa using machine learning techniques and satellite imagery

    Cuellar, A. C., Kjær, L. J., Skovgaard, H., Nielsen, S. A., Stockmarr, A., Anderson, G., Lindström, A., Chirico, J., Lilja, T., Lühken, R., Steinke, S., Kiel, E., Larska, M., Hamnes, S. I., Sviland, S., Hopp, P., Brugger, K., Rubel, F., Balenghien, T., Garros, C. & 16 others, Rakotoarivony, I., Allene, X., Lhoir, J., Delecolle, J. C., Mathieu, B., Delecolle, D., Setier-Rio, M. L., Venail, R., Scheid, B., Miranda Chueca, M. A., Barcelo Segui, C., Lucientes, J., Estrada, R., Wesley, T., Mathis, A. & Bødker, René, 2017, NKVet Symposium 2017 - abstract book.

    Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research

  3. Microclimatic temperatures increase the potential for vector-borne disease transmission in the Scandinavian climate

    Haider, N., Kirkeby, Carsten, Kristensen, B., Kjær, Lene Jung, Havskov Sørensen, J. & Bødker, René, 2017, In: Scientific Reports. 7, 8175.

    Research output: Contribution to journal › Journal article › Research › peer-review

  4. Microclimatic temperatures of Danish cattle farms: a better understanding of the variation in transmission potential of Schmallenberg virus

    Haider, N., Cuellar, A. C., Kjær, Lene Jung, Havskov Sørensen, J. & Bødker, René, 2017, p. 54-55.

    Research output: Contribution to conference › Conference abstract for conference › Research

  5. Modelling risk of tick exposure in southern Scandinavia using machine learning techniques, satellite imagery, and human population density maps

    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, K. K. & Bødker, René, 2017.

    Research output: Contribution to conference › Paper › Research

  6. Modelling tick abundance using machine learning techniques and satellite imagery

    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, K. K. & Bødker, René, 2017.

    Research output: Contribution to conference › Paper › Research

  7. 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, K. K. & Bødker, René, 2017.

    Research output: Contribution to conference › Paper › Research

ID: 210601446