Gerrit Kuhlmann
0000-0002-7021-4712
University of Zurich
6 papers found
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Deep learning applied to CO2 power plant emissions quantification using simulated satellite images
Segmentation of XCO2 images with deep learning: application to synthetic plumes from cities and power plants
Quantifying CO<sub>2</sub> emissions of a city with the Copernicus Anthropogenic CO<sub>2</sub> Monitoring satellite mission
Spatial and temporal representativeness of point measurements for nitrogen dioxide pollution levels in cities
Detectability of CO<sub>2</sub> emission plumes of cities and power plants with the Copernicus Anthropogenic CO<sub>2</sub> Monitoring (CO2M) mission
Accounting for the vertical distribution of emissions in atmospheric CO<sub>2</sub> simulations
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