Articles | Volume 12, issue 6
https://doi.org/10.5194/amt-12-3403-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-3403-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Jun 2019
Research article |
| 27 Jun 2019
| 27 Jun 2019
Application of open-path Fourier transform infrared spectroscopy (OP-FTIR) to measure greenhouse gas concentrations from agricultural fields
Department of Agronomy, Purdue University, West Lafayette, IN 47907, USA
Richard H. Grant
Department of Agronomy, Purdue University, West Lafayette, IN 47907, USA
Albert J. Heber
Department of Agricultural and Biological Engineering, Purdue
University, West Lafayette, IN 47907, USA
Cliff T. Johnston
Department of Agronomy, Purdue University, West Lafayette, IN 47907, USA
Department of Earth, Atmospheric and Planetary Sciences, Purdue University,
West Lafayette, IN 47907, USA
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Cited
21 citations as recorded by crossref.
- Measuring N2O Emissions from Multiple Sources Using a Backward Lagrangian Stochastic Model C. Lin et al. 10.3390/atmos11121277
- The Effect of Spectral Resolution on the Quantification of OP-FTIR Spectroscopy Y. Qin et al. 10.3390/photonics10040475
- Baseline correction for infrared spectra using relative absorbance-based independent component analysis X. Li et al. 10.1364/OE.545196
- THE SPECTRUM LENGTH METHOD IN QUANTITATIVE INTERPRETATION OF SELECTED OPTICAL SPECTRA M. Wawrzyk 10.35784/iapgos.2931
- Мониторинг парниковых газов в открытой атмосфере методом фурье-спектроскопии И. Голяк et al. 10.31857/S0207401X23040088
- The impact of biodegradable plastics on methane and carbon dioxide emissions in soil ecosystems: a Fourier transform infrared spectroscopy approach Y. Wang et al. 10.1038/s41598-025-90322-7
- Improving Quantitative Accuracy of Ammonia from Open-Path Fourier Transform Infrared Spectroscopy by Incorporating Actual Spectra into Synthetic Calibration Set of Partial Least Squares Regression Q. SONG et al. 10.1016/S1872-2040(20)60036-6
- A Critical Review on Soil Gas Analysis: Modern Technologies and Problems A. Bannov et al. 10.3390/agronomy14102374
- Monitoring Greenhouse Gases in the Open Atmosphere by the Fourier Spectroscopy Method I. Golyak et al. 10.1134/S1990793123020264
- Sources of error in open-path FTIR measurements of N2O and CO2 emitted from agricultural fields C. Lin et al. 10.5194/amt-13-2001-2020
- Research on High-Precision Gas Concentration Inversion for Imaging Fourier Transform Spectroscopy Based on Multi-Scale Feature Attention Model J. Luo et al. 10.3390/app15052438
- Detection of volatile organic compounds: From chemical gas sensors to terahertz spectroscopy V. Galstyan et al. 10.1515/revac-2021-0127
- Enhancing the Accuracy of NDIR Sensors for CO2 Monitoring in Flue Gas with Particulate Matter Compensation B. Hu et al. 10.1021/acs.energyfuels.4c05354
- Self-Assembling Nanoarchitectonics of Twisted Nanofibers of Fluorescent Amphiphiles as Chemo-Resistive Sensor for Methanol Detection V. Singh et al. 10.3390/gels9060442
- Optical Remote Sensing Analysis of Exhaust Emissions During Aircraft Taxiing at Hefei Xinqiao International Airport Y. Qin et al. 10.3390/rs17040664
- High Sensitivity Monitoring of VOCs in Air through FTIR Spectroscopy Using a Multipass Gas Cell Setup A. D’Arco et al. 10.3390/s22155624
- Fast-response algorithm for calculating polyatomic gas concentration using ultrasound A. Matsuda & Y. Kato 10.1016/j.micpro.2023.104891
- Different experimental approaches for Fourier‐transform infrared spectroscopy applications in biology and biotechnology: A selected choice of representative results S. Errico et al. 10.1002/bab.2411
- Greenhouse Gas Emissions and Life Cycle Assessment on the Black Soldier Fly (Hermetia illucens L.) K. Boakye-Yiadom et al. 10.3390/su141610456
- Application of open-path Fourier transform infrared spectroscopy (OP-FTIR) to measure greenhouse gas concentrations from agricultural fields C. Lin et al. 10.5194/amt-12-3403-2019
- Sources of error in open-path FTIR measurements of N2O and CO2 emitted from agricultural fields C. Lin et al. 10.5194/amt-13-2001-2020
19 citations as recorded by crossref.
- Measuring N2O Emissions from Multiple Sources Using a Backward Lagrangian Stochastic Model C. Lin et al. 10.3390/atmos11121277
- The Effect of Spectral Resolution on the Quantification of OP-FTIR Spectroscopy Y. Qin et al. 10.3390/photonics10040475
- Baseline correction for infrared spectra using relative absorbance-based independent component analysis X. Li et al. 10.1364/OE.545196
- THE SPECTRUM LENGTH METHOD IN QUANTITATIVE INTERPRETATION OF SELECTED OPTICAL SPECTRA M. Wawrzyk 10.35784/iapgos.2931
- Мониторинг парниковых газов в открытой атмосфере методом фурье-спектроскопии И. Голяк et al. 10.31857/S0207401X23040088
- The impact of biodegradable plastics on methane and carbon dioxide emissions in soil ecosystems: a Fourier transform infrared spectroscopy approach Y. Wang et al. 10.1038/s41598-025-90322-7
- Improving Quantitative Accuracy of Ammonia from Open-Path Fourier Transform Infrared Spectroscopy by Incorporating Actual Spectra into Synthetic Calibration Set of Partial Least Squares Regression Q. SONG et al. 10.1016/S1872-2040(20)60036-6
- A Critical Review on Soil Gas Analysis: Modern Technologies and Problems A. Bannov et al. 10.3390/agronomy14102374
- Monitoring Greenhouse Gases in the Open Atmosphere by the Fourier Spectroscopy Method I. Golyak et al. 10.1134/S1990793123020264
- Sources of error in open-path FTIR measurements of N2O and CO2 emitted from agricultural fields C. Lin et al. 10.5194/amt-13-2001-2020
- Research on High-Precision Gas Concentration Inversion for Imaging Fourier Transform Spectroscopy Based on Multi-Scale Feature Attention Model J. Luo et al. 10.3390/app15052438
- Detection of volatile organic compounds: From chemical gas sensors to terahertz spectroscopy V. Galstyan et al. 10.1515/revac-2021-0127
- Enhancing the Accuracy of NDIR Sensors for CO2 Monitoring in Flue Gas with Particulate Matter Compensation B. Hu et al. 10.1021/acs.energyfuels.4c05354
- Self-Assembling Nanoarchitectonics of Twisted Nanofibers of Fluorescent Amphiphiles as Chemo-Resistive Sensor for Methanol Detection V. Singh et al. 10.3390/gels9060442
- Optical Remote Sensing Analysis of Exhaust Emissions During Aircraft Taxiing at Hefei Xinqiao International Airport Y. Qin et al. 10.3390/rs17040664
- High Sensitivity Monitoring of VOCs in Air through FTIR Spectroscopy Using a Multipass Gas Cell Setup A. D’Arco et al. 10.3390/s22155624
- Fast-response algorithm for calculating polyatomic gas concentration using ultrasound A. Matsuda & Y. Kato 10.1016/j.micpro.2023.104891
- Different experimental approaches for Fourier‐transform infrared spectroscopy applications in biology and biotechnology: A selected choice of representative results S. Errico et al. 10.1002/bab.2411
- Greenhouse Gas Emissions and Life Cycle Assessment on the Black Soldier Fly (Hermetia illucens L.) K. Boakye-Yiadom et al. 10.3390/su141610456
2 citations as recorded by crossref.
- Application of open-path Fourier transform infrared spectroscopy (OP-FTIR) to measure greenhouse gas concentrations from agricultural fields C. Lin et al. 10.5194/amt-12-3403-2019
- Sources of error in open-path FTIR measurements of N2O and CO2 emitted from agricultural fields C. Lin et al. 10.5194/amt-13-2001-2020
Latest update: 30 May 2025
Short summary
The open-path FTIR (OP-FTIR) is often used to measure the atmospheric gas composition and concentrations. The OP-FTIR, however, is sensitive to the changed ambient factors, which likely led to quantitative biases. This study developed methods to minimize the effect of the ambient temperature and humidity on N2O/CO2 quantification. These methods can help the users who implement the OP-FTIR to estimate gas fluxes in the agroecosystem achieve more precise and accurate estimations.
The open-path FTIR (OP-FTIR) is often used to measure the atmospheric gas composition and...
