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.
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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- Study on the Ground-Based FTS Measurements at Beijing, China and the Colocation Sensitivity of Satellite Data S. Yang et al. 10.3390/atmos12121586
- Methods, Progress and Challenges in Global Monitoring of Carbon Emissions from Biomass Combustion G. Qu et al. 10.3390/atmos15101247
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- Estimating power plant CO2 emission using OCO-2 XCO2 and high resolution WRF-Chem simulations T. Zheng et al. 10.1088/1748-9326/ab25ae
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- Development of a small unmanned aircraft system to derive CO<sub>2</sub> emissions of anthropogenic point sources M. Reuter et al. 10.5194/amt-14-153-2021
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25 citations as recorded by crossref.
- Natural Gas Fugitive Leak Detection Using an Unmanned Aerial Vehicle: Localization and Quantification of Emission Rate L. Golston et al. 10.3390/atmos9090333
- Estimating CO2 Emissions from Large Scale Coal-Fired Power Plants Using OCO-2 Observations and Emission Inventories Y. Hu & Y. Shi 10.3390/atmos12070811
- Accounting for the vertical distribution of emissions in atmospheric CO<sub>2</sub> simulations D. Brunner et al. 10.5194/acp-19-4541-2019
- Spectral sizing of a coarse-spectral-resolution satellite sensor for XCO<sub>2</sub> J. Wilzewski et al. 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. 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. 10.1016/j.jclepro.2023.136525
- Quantification of CH<sub>4</sub> coal mining emissions in Upper Silesia by passive airborne remote sensing observations with the Methane Airborne MAPper (MAMAP) instrument during the CO<sub>2</sub> and Methane (CoMet) campaign S. Krautwurst et al. 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. 10.1016/j.rse.2024.114192
- Study on the Ground-Based FTS Measurements at Beijing, China and the Colocation Sensitivity of Satellite Data S. Yang et al. 10.3390/atmos12121586
- Methods, Progress and Challenges in Global Monitoring of Carbon Emissions from Biomass Combustion G. Qu et al. 10.3390/atmos15101247
- Spatio-temporal distribution of CO2 mixing ratio over Bhubaneswar, Varanasi and Jodhpur of India– airborne campaign, 2016 G. Sreenivas et al. 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. 10.1088/1748-9326/ab25ae
- Comparing airborne algorithms for greenhouse gas flux measurements over the Alberta oil sands B. Erland et al. 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. 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. 10.1016/j.aeaoa.2021.100135
- Detection and quantification of CH<sub>4</sub> plumes using the WFM-DOAS retrieval on AVIRIS-NG hyperspectral data J. Borchardt et al. 10.5194/amt-14-1267-2021
- Coal seam gas industry methane emissions in the Surat Basin, Australia: comparing airborne measurements with inventories B. Neininger et al. 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. 10.1016/j.rse.2024.114515
- Long-Tune Natural Logarithmic Wavelength Modulation Spectroscopy for Gas Sensing L. Lan et al. 10.3390/s24227365
- Monitoring greenhouse gases (GHGs) in China: status and perspective Y. Sun et al. 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. 10.1016/j.rse.2021.112714
- Development of a small unmanned aircraft system to derive CO<sub>2</sub> emissions of anthropogenic point sources M. Reuter et al. 10.5194/amt-14-153-2021
- Recent Advances Toward Transparent Methane Emissions Monitoring: A Review B. Erland et al. 10.1021/acs.est.2c02136
- 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. 10.5194/acp-22-13881-2022
- Determination of the emission rates of CO<sub>2</sub> point sources with airborne lidar S. Wolff et al. 10.5194/amt-14-2717-2021
3 citations as recorded by crossref.
- Methane emissions from a Californian landfill, determined from airborne remote sensing and in situ measurements S. Krautwurst et al. 10.5194/amt-10-3429-2017
- The potential of satellite spectro-imagery for monitoring CO<sub>2</sub> emissions from large cities G. Broquet et al. 10.5194/amt-11-681-2018
- Methane emissions in the Netherlands: The Groningen field T. Yacovitch et al. 10.1525/elementa.308
Latest update: 14 Dec 2024