Katerina Trepekli

Katerina Trepekli

Guest Researcher

Member of:


    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 journalJournal articleResearchpeer-review

    3. 2023
    4. Published

      Advancing drought stress assessment in trees: technologies a fast and efficient method using drone-based remote sensing

      Xu, Jing, Trepekli, Aikaterini, Ræbild, Anders & Hansen, Ole Kim, 2023, Resilient Forests for the Future: Book of Abstracts. Curtu, A. L. & Ciocîrlan, E. (eds.). Transilvania University of Brașov, p. 66

      Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsResearch

    5. 2022
    6. Published

      Deep learning based 3D point cloud regression for estimating forest biomass

      Oehmcke, Stefan, Li, Lei, Caballer Revenga, Jaime, Nord-Larsen, Thomas, Trepekli, Aikaterini, Gieseke, F. & Igel, Christian, 1 Nov 2022, 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2022. Renz, M., Sarwat, M., Nascimento, M. A., Shekhar, S. & Xie, X. (eds.). Association for Computing Machinery, Inc., p. 1-4 38

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    7. Published
    8. Published

      UAV-borne, LiDAR-based elevation modelling: a method for improving local-scale urban flood risk assessment

      Trepekli, Aikaterini, Balstrøm, Thomas, Friborg, Thomas, Fog, Bjarne, Allotey, A. N., Kofie, R. Y. & Møller-Jensen, Lasse, 2022, In: Natural Hazards. 113, p. 423–451 29 p.

      Research output: Contribution to journalJournal articleResearchpeer-review

    9. 2021
    10. Published

      Methods for processing and analyzing UAV-retrieved Lidar and RGB data covering selected areas in Accra

      Trepekli, Aikaterini, Fog, Bjarne & Møller-Jensen, Lasse, 16 Feb 2021, Department of Geography & Geology, University of Copenhagen. 18 p.

      Research output: Book/ReportReportResearch

    11. Published

      Deriving Aerodynamic Roughness Length at Ultra-High Resolution in Agricultural Areas Using UAV-Borne LiDAR

      Trepekli, Aikaterini & Friborg, Thomas, 2021, In: Remote Sensing. 13, 17, 21 p., 3538.

      Research output: Contribution to journalJournal articleResearchpeer-review

    12. Published
    13. Published
    14. Published

      UAV-LiDAR observations increase the precision of urban flood modelling in Accra by detecting critical micro-topographic features

      Trepekli, Aikaterini, Friborg, Thomas, Balstrøm, Thomas, Fog, Bjarne, Allotey, A., Kofie, R. Y. & Møller-Jensen, Lasse, 2021. 1 p.

      Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

    Previous 1 2 Next

    ID: 196033191