Articles | Volume 11, issue 2
https://doi.org/10.5194/amt-11-721-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-11-721-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
07 Feb 2018
Research article |
| 07 Feb 2018
Airborne remote sensing and in situ measurements of atmospheric CO2 to quantify point source emissions
Thomas Krings
CORRESPONDING AUTHOR
Institute of Environmental Physics, University of Bremen, FB 1, P.O. Box 330440, 28334 Bremen, Germany
Bruno Neininger
METAIR AG, Airfield Hausen am Albis, 8915 Hausen am Albis,
Switzerland
Zurich University of Applied Sciences, 8400 Winterthur, Switzerland
Konstantin Gerilowski
Institute of Environmental Physics, University of Bremen, FB 1, P.O. Box 330440, 28334 Bremen, Germany
Sven Krautwurst
Institute of Environmental Physics, University of Bremen, FB 1, P.O. Box 330440, 28334 Bremen, Germany
Michael Buchwitz
Institute of Environmental Physics, University of Bremen, FB 1, P.O. Box 330440, 28334 Bremen, Germany
John P. Burrows
Institute of Environmental Physics, University of Bremen, FB 1, P.O. Box 330440, 28334 Bremen, Germany
Carsten Lindemann
Institute for Space Sciences, Free University of Berlin, Carl-Heinrich-Becker-Weg 6-10, 12165 Berlin, Germany
Thomas Ruhtz
Institute for Space Sciences, Free University of Berlin, Carl-Heinrich-Becker-Weg 6-10, 12165 Berlin, Germany
Dirk Schüttemeyer
ESA/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, the Netherlands
Heinrich Bovensmann
Institute of Environmental Physics, University of Bremen, FB 1, P.O. Box 330440, 28334 Bremen, Germany
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- Natural Gas Fugitive Leak Detection Using an Unmanned Aerial Vehicle: Localization and Quantification of Emission Rate L. Golston et al. https://doi.org/10.3390/atmos9090333
- Estimating CO2 Emissions from Large Scale Coal-Fired Power Plants Using OCO-2 Observations and Emission Inventories Y. Hu & Y. Shi https://doi.org/10.3390/atmos12070811
- Characterizing diurnal variability in power plant carbon emissions in Asia: A top-down estimation approach constrained by geostationary NO2 and OCO-3 CO2 observations T. Xu et al. https://doi.org/10.1016/j.rse.2026.115261
- Accounting for the vertical distribution of emissions in atmospheric CO2 simulations D. Brunner et al. https://doi.org/10.5194/acp-19-4541-2019
- Total Calibration-Free Gas Sensing and Its Optimization Based on ln-LC-WMS L. Lan et al. https://doi.org/10.1109/JSEN.2025.3546247
- Impact of atmospheric turbulence on the accuracy of point source emission estimates using satellite imagery M. Gałkowski et al. https://doi.org/10.5194/acp-25-13831-2025
- Spectral sizing of a coarse-spectral-resolution satellite sensor for XCO2 J. Wilzewski et al. https://doi.org/10.5194/amt-13-731-2020
- Allocation and optimization of carbon emission permits considering fairness and efficiency under the dual-carbon background Y. Xiao et al. https://doi.org/10.3389/fenvs.2022.1036771
- CO2 emissions retrieval from coal-fired power plants based on OCO-2/3 satellite observations and a Gaussian plume model W. Guo et al. https://doi.org/10.1016/j.jclepro.2023.136525
- Quantification of CH4 coal mining emissions in Upper Silesia by passive airborne remote sensing observations with the Methane Airborne MAPper (MAMAP) instrument during the CO2 and Methane (CoMet) campaign S. Krautwurst et al. https://doi.org/10.5194/acp-21-17345-2021
- Revisiting the quantification of power plant CO2 emissions in the United States and China from satellite: A comparative study using three top-down approaches C. He et al. https://doi.org/10.1016/j.rse.2024.114192
- Optimizing airborne emission rate retrievals with sub-hectometre resolution numerical modelling S. Fathi et al. https://doi.org/10.5194/amt-19-3911-2026
- Measurement report: Temporal variability of vertical profiles of CO2 and CH4 over an urban environment M. Zimnoch et al. https://doi.org/10.5194/acp-26-7061-2026
- Insights into Elevated Methane Emissions from an Australian Open-Cut Coal Mine Using Two Independent Airborne Techniques J. Borchardt et al. https://doi.org/10.1021/acs.estlett.4c01063
- Study on the Ground-Based FTS Measurements at Beijing, China and the Colocation Sensitivity of Satellite Data S. Yang et al. https://doi.org/10.3390/atmos12121586
- Estimation of diurnal emissions of CO2 from thermal power plants using spaceborne integrated path differential absorption (IPDA) lidar X. Zhang et al. https://doi.org/10.5194/acp-25-6725-2025
- Methods, Progress and Challenges in Global Monitoring of Carbon Emissions from Biomass Combustion G. Qu et al. https://doi.org/10.3390/atmos15101247
- Spatio-temporal distribution of CO2 mixing ratio over Bhubaneswar, Varanasi and Jodhpur of India– airborne campaign, 2016 G. Sreenivas et al. https://doi.org/10.1016/j.atmosenv.2019.01.010
- Estimating power plant CO2 emission using OCO-2 XCO2 and high resolution WRF-Chem simulations T. Zheng et al. https://doi.org/10.1088/1748-9326/ab25ae
- A Methane Emissions Reconciliation Exercise: Comparing Sub-Site Measurement-Based Emission Factor Estimates with Site-Level Measurements at Two LNG Facilities N. Yarrow-Mann et al. https://doi.org/10.3390/rs18121968
- Comparing airborne algorithms for greenhouse gas flux measurements over the Alberta oil sands B. Erland et al. https://doi.org/10.5194/amt-15-5841-2022
- Methane retrieval from MethaneAIR using the CO2 proxy approach: a demonstration for the upcoming MethaneSAT mission C. Chan Miller et al. https://doi.org/10.5194/amt-17-5429-2024
- Quantifying methane emissions from coal mining ventilation shafts using an unmanned aerial vehicle (UAV)-based active AirCore system T. Andersen et al. https://doi.org/10.1016/j.aeaoa.2021.100135
- Detection and quantification of CH4 plumes using the WFM-DOAS retrieval on AVIRIS-NG hyperspectral data J. Borchardt et al. https://doi.org/10.5194/amt-14-1267-2021
- Identification and quantification of CH4 emissions from Madrid landfills using airborne imaging spectrometry and greenhouse gas lidar S. Krautwurst et al. https://doi.org/10.5194/acp-25-14669-2025
- Coal seam gas industry methane emissions in the Surat Basin, Australia: comparing airborne measurements with inventories B. Neininger et al. https://doi.org/10.1098/rsta.2020.0458
- Estimating anthropogenic CO2 emissions from China's Yangtze River Delta using OCO-2 observations and WRF-Chem simulations M. Sheng et al. https://doi.org/10.1016/j.rse.2024.114515
- Long-Tune Natural Logarithmic Wavelength Modulation Spectroscopy for Gas Sensing L. Lan et al. https://doi.org/10.3390/s24227365
- Evaluation of coal mine methane inventory methods using aircraft-based approaches in the Bowen Basin, Australia S. Harris et al. https://doi.org/10.5194/acp-26-10043-2026
- Monitoring greenhouse gases (GHGs) in China: status and perspective Y. Sun et al. https://doi.org/10.5194/amt-15-4819-2022
- Quantifying CO2 emissions from a thermal power plant based on CO2 column measurements by portable Fourier transform spectrometers H. Ohyama et al. https://doi.org/10.1016/j.rse.2021.112714
- Development of a small unmanned aircraft system to derive CO2 emissions of anthropogenic point sources M. Reuter et al. https://doi.org/10.5194/amt-14-153-2021
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- Retrieving CH4-emission rates from coal mine ventilation shafts using UAV-based AirCore observations and the genetic algorithm–interior point penalty function (GA-IPPF) model T. Shi et al. https://doi.org/10.5194/acp-22-13881-2022
- Determination of the emission rates of CO2 point sources with airborne lidar S. Wolff et al. https://doi.org/10.5194/amt-14-2717-2021
- An evaluation of airborne mass balance and tracer correlation approaches to estimate site-level CH4 emissions from LNG facilities using CO2 as a tracer of opportunity M. Lunt et al. https://doi.org/10.5194/amt-18-4413-2025
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