Yan Cheng

Yan Cheng

PhD fellow

ORCID: 0000-0001-8658-4673

Publication year:
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1 - 5 out of 5Page size: 10
  1. 2023
  2. Published

    Quantifying Tree Mortality Drivers - a Case Study in a Boreal Forest

    Jääskeläinen, J., Junttila, S., O’Sullivan, H., Cheng, Yan, Horion, Stéphanie & Vastaranta, M., 11 Nov 2023, (FORECO-D-23-02383).

    Research output: Working paper › Preprint › Research

  3. Published

    A framework to assess multi-hazard physical climate risk for power generation projects from publicly-accessible sources

    Luo, T., Cheng, Yan, Falzon, J., Kölbel, J., Zhou, L., Wu, Y. & Habchi, A., 2023, In: Communications Earth and Environment. 4, 13 p., 117.

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

  4. Published

    MAPPING TREE MORTALITY IN CALIFORNIA FROM VERY HIGH RESOLUTION IMAGERY USING DEEP LEARNING

    Cheng, Yan, Oehmcke, Stefan, Brandt, Martin Stefan, Das, A., Rosenthal, L., Saatchi, S., Wagner, F., Vrieling, A., Verbruggen, Wim, Beier, Claus & Horion, Stéphanie, 2023.

    Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

  5. Published

    Mapping and characterising tree mortality in California at individual tree level using deep learning

    Cheng, Yan, Oehmcke, Stefan, Brandt, Martin Stefan, Das, A., Rosenthal, L., Saatchi, S., Wagner, F., Verbruggen, Wim, Vrieling, A., Beier, Claus & Horion, Stéphanie, 2023. 1 p.

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

  6. Published

    Seasonal-Trend Time Series Decomposition on Graphics Processing Units

    Serykh, Dmitry, Oehmcke, Stefan, Oancea, Cosmin Eugen, Masiliunas, D., Verbesselt, J., Cheng, Yan, Horion, Stéphanie, Gieseke, F. & Hinnerskov, Nikolaj Hey, 2023, Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023. He, J., Palpanas, T., Hu, X., Cuzzocrea, A., Dou, D., Slezak, D., Wang, W., Gruca, A., Lin, J. C-W. & Agrawal, R. (eds.). IEEE, p. 5914-5923 10 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

ID: 284815711