Stefan Oehmcke

Stefan Oehmcke

Assistant Professor

Member of:

    ORCID: 0000-0002-0240-1559

    Publication year:
    All
    1 - 10 out of 10Page size: 10
    1. 2024
    2. Published

      Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR

      Oehmcke, Stefan, Li, Lei, Trepekli, Aikaterini, Caballer Revenga, Jaime, Nord-Larsen, Thomas, Gieseke, Fabian Cristian & Igel, Christian, 2024, In: Remote Sensing of Environment. 302, 21 p., 113968.

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

    3. Published

      Scattered tree death contributes to substantial forest loss in California

      Cheng, Yan, Oehmcke, Stefan, Brandt, Martin Stefan, Rosenthal, L., Das, A., Vrieling, A., Saatchi, S., Wagner, F., Mugabowindekwe, Maurice, Verbruggen, Wim, Beier, Claus & Horion, Stéphanie, 2024, In: Nature Communications. 15, 1, p. 1-13 641.

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

    4. 2023
    5. Published

      Deep learning enables image-based tree counting, crown segmentation and height prediction at national scale

      Li, Sizhuo, Brandt, Martin Stefan, Fensholt, Rasmus, Kariryaa, Ankit, Igel, Christian, Gieseke, Fabian Cristian, Nord-Larsen, Thomas, Oehmcke, Stefan, Carlsen, Ask Holm, Junttila, S., Tong, Xiaoye, d’Aspremont, A. & Ciais, P., 2023, In: PNAS Nexus. 2, 4, 16 p., pgad076.

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

    6. Published

      High nitrous oxide emissions from temporary flooded depressions within croplands

      Elberling, Bo, Kovács, Gyula Mate, Hansen, Hans Frederik Engvej, Fensholt, Rasmus, Ambus, Per Lennart, Tong, Xiaoye, Gominski, Dimitri Pierre Johannes, Mueller, Carsten W., Poultney, D. M. N. & Oehmcke, Stefan, 2023, In: Communications Earth and Environment. 4, 1, 9 p., 463.

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

    7. Published

      More than one quarter of Africa's tree cover is found outside areas previously classified as forest

      Reiner, F., Brandt, M., Tong, X., Skole, D., Kariryaa, A., Ciais, P., Davies, A., Hiernaux, P., Chave, J., Mugabowindekwe, M., Igel, C., Oehmcke, S., Gieseke, F., Li, S., Liu, S., Saatchi, S., Boucher, P., Singh, J., Taugourdeau, S., Dendoncker, M. & 4 others, Song, X., Mertz, Ole, Tucker, C. J. & Fensholt, Rasmus, 2023, In: Nature Communications. 14, 10 p., 2258.

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

    8. Published

      Multi-scale pseudo labeling for unsupervised deep edge detection

      Zhou, C., Yuan, C., Wang, H., Li, Lei, Oehmcke, Stefan, Liu, J. & Peng, J., 2023, In: Knowledge-Based Systems. 280, 15 p., 111057.

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

    9. Published

      Remember to Correct the Bias When Using Deep Learning for Regression!

      Igel, Christian & Oehmcke, Stefan, 2023, In: KI - Kunstliche Intelligenz. 37, 1, p. 33-40

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

    10. 2022
    11. Published

      Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods

      Caballer Revenga, Jaime, Trepekli, Aikaterini, Oehmcke, Stefan, Jensen, Rasmus, Li, Lei, Igel, Christian, Gieseke, Fabian Cristian & Friborg, Thomas, 2022, In: Remote Sensing. 14, 16, 22 p., 3912.

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

    12. 2021
    13. Published

      Both sides of the story: comparing student-level data on reading performance from administrative registers to application generated data from a reading app

      Sortkær, B., Smith, E., Reimer, D., Oehmcke, Stefan & Andersen, I. G., 2021, In: EPJ Data Science. 10, 1, 21 p., 44.

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

    14. 2018

    15. Input quality aware convolutional LSTM networks for virtual marine sensors

      Oehmcke, Stefan, Zielinski, O. & Kramer, O., 31 Jan 2018, In: Neurocomputing. 275, p. 2603-2615 13 p.

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

    ID: 209373892