Airborne Validation Experiment of 1.57-μm Double-Pulse IPDA LIDAR for Atmospheric Carbon Dioxide Measurement
The demand for greenhouse gas measurement has increased dramatically due to global warming. A 1.57-μm airborne double-pulse integrated-path differential absorption (IPDA) light detection and ranging (LIDAR) system for CO<sub>2</sub> concentration measurement was developed. The airborne f...
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MDPI AG
2020-06-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/12/12/1999 |
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| author | Yadan Zhu Juxin Yang Xiao Chen Xiaopeng Zhu Junxuan Zhang Shiguang Li Yanguang Sun Xia Hou Decang Bi Lingbing Bu Yang Zhang Jiqiao Liu Weibiao Chen |
| author_facet | Yadan Zhu Juxin Yang Xiao Chen Xiaopeng Zhu Junxuan Zhang Shiguang Li Yanguang Sun Xia Hou Decang Bi Lingbing Bu Yang Zhang Jiqiao Liu Weibiao Chen |
| author_sort | Yadan Zhu |
| collection | DOAJ |
| description | The demand for greenhouse gas measurement has increased dramatically due to global warming. A 1.57-μm airborne double-pulse integrated-path differential absorption (IPDA) light detection and ranging (LIDAR) system for CO<sub>2</sub> concentration measurement was developed. The airborne field experiments of this IPDA LIDAR system were conducted at a flight altitude of approximately 7 km, and the weak echo signal of the ocean area was successfully received. The matched filter algorithm was applied to the retrieval of the weak signals, and the pulse integration method was used to improve the signal-to-noise ratio. The inversion results of the CO<sub>2</sub> column-averaged dry-air mixing ratio (XCO<sub>2</sub>) by the scheme of averaging after log (AVD) and the scheme of averaging signals before log were compared. The AVD method was found more effective for the experiment. The long-term correlation between the changing trends of XCO<sub>2</sub> retrieved by the IPDA LIDAR system and CO<sub>2</sub> dry-air volume mixing ratio measured by the in-situ instrument reached 92%. In the steady stage of the open area (30 km away from the coast), which is almost unaffected by the residential areas, the mean value of XCO<sub>2</sub> retrieved by the IPDA LIDAR system was 414.69 ppm, with the standard deviation being 1.02 ppm. Compared with the CO<sub>2</sub> concentration measured by the in-situ instrument in the same period, bias was 1.30 ppm. The flight path passed across the ocean, residential, and mountainous areas, with the mean value of XCO<sub>2</sub> of the three areas being 419.35, 429.29, and 422.52 ppm, respectively. The gradient of the residential and ocean areas was 9.94 ppm, with that of the residential and mountainous areas being 6.77 ppm. Obvious gradients were found in different regions. |
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| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T18:57:54Z |
| publishDate | 2020-06-01 |
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| spelling | doaj.art-06e8752119c04e84bc60d8a3f8d3300c2023-11-20T04:35:29ZengMDPI AGRemote Sensing2072-42922020-06-011212199910.3390/rs12121999Airborne Validation Experiment of 1.57-μm Double-Pulse IPDA LIDAR for Atmospheric Carbon Dioxide MeasurementYadan Zhu0Juxin Yang1Xiao Chen2Xiaopeng Zhu3Junxuan Zhang4Shiguang Li5Yanguang Sun6Xia Hou7Decang Bi8Lingbing Bu9Yang Zhang10Jiqiao Liu11Weibiao Chen12Key Laboratory of Space Laser Communication and Detection Technology, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, ChinaLaboratory of Space Laser Engineering, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, ChinaKey Laboratory of Space Laser Communication and Detection Technology, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, ChinaLaboratory of Space Laser Engineering, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, ChinaLaboratory of Space Laser Engineering, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, ChinaLaboratory of Space Laser Engineering, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, ChinaKey Laboratory of Space Laser Communication and Detection Technology, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, ChinaLaboratory of Space Laser Engineering, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, ChinaLaboratory of Space Laser Engineering, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, ChinaCollaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaGeneral Laboratory of Meteorological and Environmental Satellite, Shanghai Institute of Satellite Engineering, Shanghai 201109, ChinaCenter of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, ChinaKey Laboratory of Space Laser Communication and Detection Technology, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, ChinaThe demand for greenhouse gas measurement has increased dramatically due to global warming. A 1.57-μm airborne double-pulse integrated-path differential absorption (IPDA) light detection and ranging (LIDAR) system for CO<sub>2</sub> concentration measurement was developed. The airborne field experiments of this IPDA LIDAR system were conducted at a flight altitude of approximately 7 km, and the weak echo signal of the ocean area was successfully received. The matched filter algorithm was applied to the retrieval of the weak signals, and the pulse integration method was used to improve the signal-to-noise ratio. The inversion results of the CO<sub>2</sub> column-averaged dry-air mixing ratio (XCO<sub>2</sub>) by the scheme of averaging after log (AVD) and the scheme of averaging signals before log were compared. The AVD method was found more effective for the experiment. The long-term correlation between the changing trends of XCO<sub>2</sub> retrieved by the IPDA LIDAR system and CO<sub>2</sub> dry-air volume mixing ratio measured by the in-situ instrument reached 92%. In the steady stage of the open area (30 km away from the coast), which is almost unaffected by the residential areas, the mean value of XCO<sub>2</sub> retrieved by the IPDA LIDAR system was 414.69 ppm, with the standard deviation being 1.02 ppm. Compared with the CO<sub>2</sub> concentration measured by the in-situ instrument in the same period, bias was 1.30 ppm. The flight path passed across the ocean, residential, and mountainous areas, with the mean value of XCO<sub>2</sub> of the three areas being 419.35, 429.29, and 422.52 ppm, respectively. The gradient of the residential and ocean areas was 9.94 ppm, with that of the residential and mountainous areas being 6.77 ppm. Obvious gradients were found in different regions.https://www.mdpi.com/2072-4292/12/12/1999CO<sub>2</sub> concentrationIPDA LIDARairborne experimentlong-term correlation |
| spellingShingle | Yadan Zhu Juxin Yang Xiao Chen Xiaopeng Zhu Junxuan Zhang Shiguang Li Yanguang Sun Xia Hou Decang Bi Lingbing Bu Yang Zhang Jiqiao Liu Weibiao Chen Airborne Validation Experiment of 1.57-μm Double-Pulse IPDA LIDAR for Atmospheric Carbon Dioxide Measurement Remote Sensing CO<sub>2</sub> concentration IPDA LIDAR airborne experiment long-term correlation |
| title | Airborne Validation Experiment of 1.57-μm Double-Pulse IPDA LIDAR for Atmospheric Carbon Dioxide Measurement |
| title_full | Airborne Validation Experiment of 1.57-μm Double-Pulse IPDA LIDAR for Atmospheric Carbon Dioxide Measurement |
| title_fullStr | Airborne Validation Experiment of 1.57-μm Double-Pulse IPDA LIDAR for Atmospheric Carbon Dioxide Measurement |
| title_full_unstemmed | Airborne Validation Experiment of 1.57-μm Double-Pulse IPDA LIDAR for Atmospheric Carbon Dioxide Measurement |
| title_short | Airborne Validation Experiment of 1.57-μm Double-Pulse IPDA LIDAR for Atmospheric Carbon Dioxide Measurement |
| title_sort | airborne validation experiment of 1 57 μm double pulse ipda lidar for atmospheric carbon dioxide measurement |
| topic | CO<sub>2</sub> concentration IPDA LIDAR airborne experiment long-term correlation |
| url | https://www.mdpi.com/2072-4292/12/12/1999 |
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