Øster Voldgade 10, 1350 København K, Building: 6.1.675
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.