131 results on '"Kuhlmann, Gerrit"'
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2. Analyzing nitrogen dioxide to nitrogen oxide scaling factors for data-driven satellite-based emission estimation methods: A case study of Matimba/Medupi power stations in South Africa
3. Reply on RC1
4. Detection of thermo-mechanical damages by in-process Barkhausen Noise Analysis combined with Grinding Power Evaluation.
5. Simultaneous high-speed cutting and high-feed milling: An investigation on surface integrity.
6. A lightweight NO2-to-NOx conversion model for quantifying NOx emissions of point sources from NO2 satellite observations.
7. The ddeq Python library for point source quantification from remote sensing images (version 1.0).
8. A light-weight NO2 to NOx conversion model for quantifying NOx emissions of point sources from NO2 satellite observations
9. Supplementary material to "The ddeq Python library for point source quantification from remote sensing images (Version 1.0)"
10. The ddeq Python library for point source quantification from remote sensing images (Version 1.0)
11. Benchmarking data-driven inversion methods for the estimation of local CO2 emissions from XCO2 and NO2 satellite images
12. Importance of satellite observations for high-resolution mapping of near-surface NO2 by machine learning
13. Deep learning applied to CO2 power plant emissions quantification using simulated satellite images.
14. A light-weight NO2 to NOx conversion model for quantifying NOx emissions of point sources from NO2 satellite observations.
15. Benchmarking data-driven inversion methods for the estimation of 1 local CO2 emissions from XCO2 and NO2 satellite images.
16. Segmentation of XCO2 images with deep learning: application to synthetic plumes from cities and power plants
17. Segmentation of XCO2 images with deep learning: application to synthetic plumes from cities and power plants
18. Bayesian estimation of CO2 flux divergence maps using joint (CO2M-like) NO2 and CO2 images
19. Quantifying methane super-emitters from oil and gas production in Romania with the AVIRIS-NG imaging spectrometer
20. Comment on egusphere-2022-1490
21. Segmentation of XCO2 images with deep learning: application to synthetic plumes from cities and power plants
22. Mapping the spatial distribution of NO2 with in situ and remote sensing instruments during the Munich NO2 imaging campaign
23. Deep learning applied to CO2 power plant emissions quantification using simulated satellite images.
24. Evaluation of simulated CO2 power plant plumes from six high-resolution atmospheric transport models
25. Supplementary material to "Evaluation of simulated CO2 power plant plumes from six high-resolution atmospheric transport models"
26. Simulated XCO2 images and hotspot plumes formatted for deep learning methods and segmentation models weights
27. Analyzing Local Carbon Dioxide and Nitrogen Oxide Emissions From Space Using the Divergence Method: An Application to the Synthetic SMARTCARB Dataset
28. Assessing the Impact of Atmospheric CO2 and NO2 Measurements From Space on Estimating City-Scale Fossil Fuel CO2 Emissions in a Data Assimilation System
29. Mapping the spatial distribution of NO<sub>2</sub> with in situ and remote sensing instruments during the Munich NO<sub>2</sub> imaging campaign
30. Evaluation of simulated CO2 power plant plumes from six high-resolution atmospheric transport models.
31. Segmentation of XCO2 images with deep learning: application to synthetic plumes from cities and power plants.
32. Reply on RC1
33. Supplementary material to "Mapping the spatial distribution of NO<sub>2</sub> with in situ and remote sensing instruments during the Munich NO<sub>2</sub> imaging campaign"
34. Mapping the spatial distribution of NO<sub>2</sub> with in situ and remote sensing instruments during the Munich NO<sub>2</sub> imaging campaign
35. Impact of 3D radiative transfer on airborne NO<sub>2</sub> imaging remote sensing over cities with buildings
36. Impact of 3D radiative transfer on airborne NO2 imaging remote sensing over cities with buildings
37. Uncertainties in the simulation of XCO2 plumes from power plant emissions: A comparison between 6 high-resolution atmospheric transport models
38. Evaluation of simulated CO2 power plant plumes from six high-resolution atmospheric transport models.
39. SMARTCARB-2: Use of satellite measurements of auxiliary reactive trace gases for fossil fuel carbon dioxide emission estimation (Phase 2)
40. Quantifying CO2 Emissions of Power Plants With CO2 and NO2 Imaging Satellites
41. Supplementary material to "Impact of 3D radiative transfer on airborne NO2 imaging remote sensing over cities with buildings"
42. Assessing the constraint of the CO2 monitoring mission on fossil fuel emissions from power plants and a city in a regional carbon cycle fossil fuel data assimilation system
43. Quantifying CO2 emissions of power plants with the CO2M mission
44. Importance of satellite observations for high-resolution mapping of near-surface NO2 by machine learning
45. Quantifying CO<sub>2</sub> emissions of a city with the Copernicus Anthropogenic CO<sub>2</sub> Monitoring satellite mission
46. Three-dimensional radiative transfer effects on airborne and ground-based trace gas remote sensing
47. Spatial and temporal representativeness of point measurements for nitrogen dioxide pollution levels in cities
48. Spatial and temporal representativeness of point measurements for nitrogen dioxide pollution levels in cities
49. Authors' response
50. Three-dimensional radiative transfer effects on airborne and ground-based trace gas remote sensing
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