Katerina Trepekli
Postdoc
Geography
Øster Voldgade 10, 1350 København K, Building: 6.1.675
Machine Learning
Universitetsparken 1, 2100 København Ø
Quantification of water and carbon budget components in agricutlural and forest ecosystems using Unmanned Aerial Vehicles, Light Detection Ranging technology, thermal and multispectra aerial photogrammetry.
Implementation of machine learning algorithms and 3-D point cloud data processing for generating high resolution maps of aerodynamic resistance of a canopy, above ground biomass and vegetation indices for sustainable water and land management applications in both urban and rural areas.
Multispatial and temporal analysis of surface energy fluxes in natural areas subjected to desertification using the Eddy Covariance method and sattelite imagery from Landsat.
ID: 196033191
Most downloads
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52
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Influence Of Climate Change On The Future Precipitation Pattern In The Region Of Ghana: Climate change resilience in urban mobility
Research output: Book/Report › Report › Research
Published -
40
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Fluxes of gaseous elemental mercury on a Mediterranean coastal grassland
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
28
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Utilization of UAV-Lidar to infer surface roughness and leaf area index of a heterogeneous wooded area
Research output: Contribution to journal › Conference article › Research
Published