High-Precision CO2 Column Length Analysis on the Basis of a 1.57-μm Dual-Wavelength IPDA Lidar
Abstract
:1. Introduction
2. Methodology
2.1. Principle of the IPDA
2.2. Validity Detection of the Lidar Pulse-Echo Signal
2.3. Lidar Pulse-Echo Noise Estimation and Data Filtering
2.4. Gaussian Decomposition and Fitting Based on Generalized Gaussian Distribution
2.5. Double Measurement Adjustment Ranging Optimization
2.6. Atmospheric Delay Correction
3. Experimental Area and Data
4. Experimental Results
4.1. Validation Data
4.2. Data Processing Results
4.3. Error Analysis
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
- Petit, J.-R.; Raynaud, D. Forty years of ice-core records of CO2. Nat. Cell Biol. 2020, 579, 505–506. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Tans, P.P.; Fung, I.Y.; Takahashi, T. Observational contrains on the global atmospheric CO2 budget. Science 1990, 247, 1431–1438. [Google Scholar] [CrossRef] [PubMed]
- Fan, S.; Gloor, M.; Mahlman, J.; Pacala, S.; Sarmiento, J.; Takahashi, T.; Tans, P. A large terrestrial carbon sink in North America implied by atmospheric and oceanic carbon dioxide data and models. Science 1998, 282, 442–446. [Google Scholar] [CrossRef] [PubMed]
- Chan, K.L.; Ning, Z.; Westerdahl, D.; Wong, K.C.; Sun, Y.; Härtl, A.; Wenig, M. Dispersive infrared spectroscopy measurements of atmospheric CO2 using a Fabry–Pérot interferometer sensor. Sci. Total. Environ. 2014, 472, 27–35. [Google Scholar] [CrossRef]
- Chan, K.L.; Wiegner, M.; Flentje, H.; Mattis, I.; Wagner, F.; Gasteiger, J.; Geiß, A. Evaluation of ECMWF-IFS (version 41R1) operational model forecasts of aerosol transport by using ceilometer network measurements. Geosci. Model Dev. 2018, 11, 3807–3831. [Google Scholar] [CrossRef] [Green Version]
- Houweling, S.; Hartmann, W.; Aben, I.; Schrijver, H.; Skidmore, J.; Roelofs, G.J.; Breon, F.M. Evidence of systematic errors in SCIAMACHY-observed CO2 due to aerosols. Atmos. Chem. Phys. 2005, 5, 3003–3013. [Google Scholar] [CrossRef] [Green Version]
- Buchwitz, M.; de Beek, R.; Burrows, J.; Bovensmann, H.; Warneke, T.; Notholt, J.; Meirink, J.F.; Goede, A.P.H.; Bergamaschi, P.; Korner, S.; et al. Atmospheric methane and carbon dioxide from SCIAMACHY satellite data: Initial comparison with chemistry and transport models. Atmospheric Chem. Phys.Discuss 2005, 5, 941–962. [Google Scholar] [CrossRef] [Green Version]
- Aben, E.; Hasekamp, O.; Hartmann, W. Uncertainties in the space-based measurements of CO2 columns due to scattering in the Earth’s atmosphere. J. Quant. Spectrosc. Radiat. Transf. 2007, 104, 450–459. [Google Scholar] [CrossRef]
- Ma, X.; Wang, C.; Han, G.; Ma, Y.; Li, S.; Gong, W.; Chen, J. Regional Atmospheric Aerosol Pollution Detection Based on LiDAR Remote Sensing. Remote Sens. 2019, 11, 2339. [Google Scholar] [CrossRef] [Green Version]
- Liu, B.; Ma, Y.; Shi, Y.; Jin, S.; Jin, Y.; Gong, W. The characteristics and sources of the aerosols within the nocturnal residual layer over Wuhan, China. Atmos. Res. 2020, 241, 104959–104968. [Google Scholar] [CrossRef]
- Shi, T.; Ma, X.; Han, G.; Xu, H.; Qiu, R.; He, B.; Gong, W. Measurement of CO2 rectifier effect during summer and winter using ground-based differential absorption LiDAR. Atmos. Environ. 2020, 220, 117097–117107. [Google Scholar] [CrossRef]
- Ma, X.; Shi, T.; Xu, H.; He, B.; Qiu, R.; Han, G.; Gong, W. On-line wavenumber optimization for a ground-based CH4-DIAL. J. Quant. Spectrosc. Radiat. Transf. 2019, 229, 106–119. [Google Scholar] [CrossRef]
- Pei, Z.; Han, G.; Ma, X.; Su, H.; Gong, W. Response of major air pollutants to COVID-19 lockdowns in China. Sci. Total Environ. 2020, 743, 140879–140890. [Google Scholar] [CrossRef] [PubMed]
- Shi, T.; Han, G.; Ma, X.; Zhang, M.; Pei, Z.; Xu, H.; Qiu, R.; Zhang, H.; Gong, W. An inversion method for estimating strong point carbon dioxide emissions using a differential absorption Lidar. J. Clean. Prod. 2020, 271, 122434–122446. [Google Scholar] [CrossRef]
- Qiu, R.; Han, G.; Ma, X.; Xu, H.; Shi, T.; Zhang, M. A comparison of oco-2 sif, modis gpp, and gosif data from gross primary production (GPP) estimation and seasonal cycles in North America. Remote. Sens. 2020, 12, 258. [Google Scholar] [CrossRef] [Green Version]
- Ramanathan, A.K.; Nguyen, H.M.; Sun, X.; Mao, J.; Abshire, J.B.; Hobbs, J.M.; Braverman, A. A singular value decomposition framework for retrievals with vertical distribution information from greenhouse gas column absorption spectroscopy measurements. Atmos. Meas. Tech. 2018, 11, 4909–4928. [Google Scholar] [CrossRef] [Green Version]
- Durand, Y.; Caron, J.; Bensi, P.; Ingmann, P.; Bezy, J.L.; Meynart, R. A-Scope–Advanced Space Carbon and Climate Observation of Planet Earth. In ESA Report for Assessment; SP-1313/1; ESA: Paris, France, 2008; Available online: https://slideplayer.com/slide/5340298/ (accessed on 15 October 2020).
- Amediek, A.; Sun, X.; Abshire, J.B. Analysis of Range Measurements From a Pulsed Airborne CO2 Integrated Path Differential Absorption Lidar. IEEE Trans. Geosci. Remote. Sens. 2013, 51, 2498–2504. [Google Scholar] [CrossRef] [Green Version]
- Refaat, T.F.; Singh, U.N.; Petros, M.; Remus, R.; Yu, J. Self-calibration and laser energy monitor validations for a double-pulsed 2-μm CO2 integrated path differential absorption lidar application. Appl. Opt. 2015, 54, 7240–7251. [Google Scholar] [CrossRef]
- Refaat, T.F.; Singh, U.N.; Yu, J.; Petros, M.; Remus, R.; Ismail, S. Double-pulse 2-μm integrated path differential absorption lidar airborne validation for atmospheric carbon dioxide measurement. Appl. Opt. 2016, 55, 4232–4246. [Google Scholar] [CrossRef]
- Yue, M.; Fanlin, Y.; Xiushan, L.; Chengkai, F.; Song, L. Elevation error analysis of spaceborne laser altimeter for earth observation. Infrared Laser Eng. 2015, 44, 1042–1047. [Google Scholar]
- Yao, W.; Krzystek, P.; Heurich, M. Tree species classification and estimation of stem volume and DBH based on single tree extraction by exploiting airborne full-waveform LiDAR data. Remote. Sens. Environ. 2012, 123, 368–380. [Google Scholar] [CrossRef]
- Carabajal, C.C.; Harding, D.J.; Luthcke, S.B.; Fong, W.; Rowton, S.C.; Frawley, J.J. Processing of shuttle laser altimeter range and return pulse data in support of SLA-02. Int. Arch. Photogramm. Remote. Sens. Spat. 1999, 32, 65–72. [Google Scholar]
- Herzfeld, U.C.; McDonald, B.W.; Wallin, B.F.; Neumann, T.A.; Markus, T.; Brenner, A.; Field, C. Algorithm for detection of ground and canopy cover in micropulse photon-counting lidar altimeter data in preparation for the ICESat-2 mission. IEEE Trans. Geosci. Remote. Sens. 2013, 52, 2109–2125. [Google Scholar] [CrossRef]
- Bar-David, I. Communication under the Poisson regime. IEEE Trans. Inf. Theory 1969, 15, 31–37. [Google Scholar] [CrossRef]
- Bar-David, I. Minimum-mean-square-error estimation of photon pulse delay (Corresp.). IEEE Trans. Inf. Theory 1975, 21, 326–330. [Google Scholar] [CrossRef]
- Elbaum, M.; Diament, P. Estimation of image centroid, size, and orientation with laser radar. Appl. Opt. 1977, 16, 2433–2437. [Google Scholar] [CrossRef]
- Gardner, C.S. Target signatures for laser altimeters: An analysis. Appl. Opt. 1982, 21, 448–453. [Google Scholar] [CrossRef]
- Gardner, C.S. Ranging performance of satellite laser altimeters. IEEE Trans. Geosci. Remote. Sens. 1992, 30, 1061–1072. [Google Scholar] [CrossRef] [Green Version]
- Bufton, J.L. Laser altimetry measurements from aircraft and spacecraft. Proc. IEEE 1989, 77, 463–477. [Google Scholar] [CrossRef]
- Salwen, H.C. Error analysis of optical range measurement systems. Proc. IEEE 1970, 58, 1741–1745. [Google Scholar] [CrossRef]
- Ciddor, P.E. Refractive index of air: New equations for the visible and near infrared. Appl. Opt. 1996, 35, 1566–1573. [Google Scholar] [CrossRef]
- Zhu, Y.; Liu, J.; Chen, X.; Zhu, X.; Bi, D.; Chen, W. Sensitivity analysis and correction algorithms for atmospheric CO2 measurements with 1.57-µm airborne double-pulse IPDA LIDAR. Opt. Express 2019, 27, 32679–32699. [Google Scholar] [CrossRef]
- Pavlis, N.K.; Holmes, S.A.; Kenyon, S.C.; Factor, J.K. The development and evaluation of the Earth Gravitational Model 2008 (EGM2008). J. Geophys. Res. Space Phys. 2013, 118, 2633. [Google Scholar] [CrossRef]
- King, M.A. The GPS Contribution to the Error Budget of Surface Elevations Derived From Airborne LIDAR. IEEE Trans. Geosci. Remote. Sens. 2008, 47, 874–883. [Google Scholar] [CrossRef]
- Yuan, H.; Mei, H.; Huang, Y.; Rao, R. Research on Atmospheric Refraction Correction Algorithm and Model for Satellite Laser Range-Finding. Acta Optica Sin 2011, 31, 31–37. [Google Scholar]
- Andersen, O.B.; Woodworth, P.L.; Flather, R.A. Intercomparison of recent ocean tide models. J. Geophys. Res. Space Phys. 1995, 100, 25261–25282. [Google Scholar] [CrossRef]
Parameter Name/Unit | Value | Parameter Name/Unit | Value | Parameter Name /Unit | Value |
---|---|---|---|---|---|
Parameter Name | Value |
---|---|
Platform height/km | around 6.9 |
Lidar energy/mJ | 6 |
On-line wavelength/nm | 1572.024 |
Off-line wavelength/nm | 1572.085 |
Repetition frequency/Hz | 20 (double pulse) |
Pulse width/ns | 15–20 |
Lidar pulse repetition rate/Hz | 20 |
Lidar divergence angle/mrad | 0.62 |
Field angle of the receiver/mrad | 1.0 |
Telescope diameter/m | 0.15 |
Sampling rate/MHz | 125 |
Beam emission interval/us | 200 |
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Ma, X.; Zhang, H.; Han, G.; Xu, H.; Shi, T.; Gong, W.; Ma, Y.; Li, S. High-Precision CO2 Column Length Analysis on the Basis of a 1.57-μm Dual-Wavelength IPDA Lidar. Sensors 2020, 20, 5887. https://doi.org/10.3390/s20205887
Ma X, Zhang H, Han G, Xu H, Shi T, Gong W, Ma Y, Li S. High-Precision CO2 Column Length Analysis on the Basis of a 1.57-μm Dual-Wavelength IPDA Lidar. Sensors. 2020; 20(20):5887. https://doi.org/10.3390/s20205887
Chicago/Turabian StyleMa, Xin, Haowei Zhang, Ge Han, Hao Xu, Tianqi Shi, Wei Gong, Yue Ma, and Song Li. 2020. "High-Precision CO2 Column Length Analysis on the Basis of a 1.57-μm Dual-Wavelength IPDA Lidar" Sensors 20, no. 20: 5887. https://doi.org/10.3390/s20205887