Design of Inversion Procedure for the Airborne CO<sub>2</sub>-IPDA LIDAR: A Preliminary Study

Xiang, Chengzhi; Ma, Xin; Zhang, Xingying; Han, Ge; Zhang, Wanchun; Chen, Bing-Long; Liang, Ailin; Gong, Wei

doi:10.1109/jstars.2021.3127564

Cited by 9 publications

(4 citation statements)

References 45 publications

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“…With the launch of satellites and the continuous improvements in retrieval technique (Xu et al, 2022;Xiang et al, 2021;Pei et al, 2022;Shi et al, 2022), satellite remote sensing has become a promising approach for the monitoring of various atmospheric pollutant concentrations according to certain spectral ranges. For example, the moderate resolution imaging spectroradiometer (MODIS) and the cloud-aerosol lidar and infrared pathfinder satellite observation can acquire the distribution of aerosol optical depth (AOD) using passive remote sensing and laser remote sensing, respectively.…”

Section: Introductionmentioning

confidence: 99%

Mapping of Pollution Distribution for Electric Power System Based on Satellite Remote Sensing

Pei

et al. 2022

Front. Environ. Sci.

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In recent years, the frequent fouling accidents have posed a serious threat to people’s life and property safety. Owing to the wide distribution of pollution sources and variable meteorological factors, it is a very time-consuming and labor-intensive task to map the pollution distribution using traditional methods. In this work, a study on the mapping of pollution distribution based on satellite remote sensing is carried out in Yunnan Province, China, as an example. Several machine learning methods (e.g. K-nearest neighbor, support vector machine) are used to analyze the effects of conditions such as multiple air pollution and meteorological data on pollution distribution map levels. The results indicate that the ensemble learning model has the highest accuracy of 72.32% in this application. The new pollution distribution map using this classifier has 5,506 more pixels in the most severe pollution level than the traditional map. Last, the remote sensing-based map and the manual measurement-based map were combined with corresponding experience weight to obtain a weighted pollution distribution map.

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Section: Introductionmentioning

confidence: 99%

Mapping of Pollution Distribution for Electric Power System Based on Satellite Remote Sensing

Pei

et al. 2022

Front. Environ. Sci.

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“…A lot of research is aimed at creating and using aircraft lidars to probe the atmosphere and measure greenhouse gases, including CO2, and detect their sources [3][4][5][6][7]. This study is aimed at assessing the possibilities of detecting carbon dioxide sources when probing with IPDA lidar from various heights, determining the limiting technical characteristics of such a lidar.…”

Section: Introductionmentioning

confidence: 99%

Possibility estimation of determining carbon dioxide sources by airborne lidar

Sukhanov

2022

28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics

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The analysis of the reconstructed differential optical depth from simulated IPDA lidar signals when detecting carbon dioxide sources from a low-flying vehicle (such as an airplane) is given, estimates of the limiting capabilities and technical characteristics of a possible lidar system are given. This study was supported by the Ministry of Science and Higher Education of the Russian Federation (V.E. Zuev Institute of Atmospheric Optics of Siberian Branch of the Russian Academy of Sciences).

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“…The accurate detection of atmospheric CO 2 concentration is an important foundation for clarifying carbon sources and sinks, deepening the understanding of carbon transmission, and formulating reasonable emission reduction policies [1][2][3][4][5][6]. Differential absorption lidar (DIAL) is a powerful means of CO 2 detection, which is less affected by the environment and can obtain high-precision, high spatial-temporal resolution of atmospheric CO 2 concentration information.…”

Section: Introductionmentioning

confidence: 99%

Analog and Photon Signal Splicing for CO2-DIAL Based on Piecewise Nonlinear Algorithm

Xiang

Liang

2022

Atmosphere

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In the CO2 differential absorption lidar (DIAL) system, signals are simultaneously collected through analog detection (AD) and photon counting (PC). These two kinds of signals have their own characteristics. Therefore, a combination of AD and PC signals is of great importance to improve the detection capability (detection range and accuracy) of CO2-DIAL. The traditional signal splicing algorithm cannot meet the accuracy requirements of CO2 inversion due to unreasonable data fitting. In this paper, a piecewise least square splicing algorithm is developed to make signal splicing more flexible and efficient. First, the lidar signal is segmented, and according to the characteristics of each signal, the best fitting parameters are obtained by using the least square fitting with different steps. Then, all the segmented and fitted signals are integrated to realize the effective splicing of the near-field AD signal and the far-field PC signal. A weight gradient strategy is also adopted in signal splicing, and the weights of the AD and PC signals in the spliced signal change with the height. The splicing effect of the improved algorithm is evaluated by the measured signal, which are obtained in Wuhan, China, and the splice of the AD and PC signals in the range of 800–1500 m are completed. Compared with the traditional method, the evaluation parameter R2 and the residual sum of squares of the spliced signal are greatly improved. The linear relationship between the AD and PC signals is improved, and the fitting R2 of differential absorption optical depth reaches 0.909, indicating that the improved signal splicing algorithm can well splice the near-field AD signal and the far-field PC signal.

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Design of Inversion Procedure for the Airborne CO₂-IPDA LIDAR: A Preliminary Study

Cited by 9 publications

References 45 publications

Mapping of Pollution Distribution for Electric Power System Based on Satellite Remote Sensing

Mapping of Pollution Distribution for Electric Power System Based on Satellite Remote Sensing

Possibility estimation of determining carbon dioxide sources by airborne lidar

Analog and Photon Signal Splicing for CO2-DIAL Based on Piecewise Nonlinear Algorithm

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Design of Inversion Procedure for the Airborne CO2-IPDA LIDAR: A Preliminary Study

Cited by 9 publications

References 45 publications

Mapping of Pollution Distribution for Electric Power System Based on Satellite Remote Sensing

Mapping of Pollution Distribution for Electric Power System Based on Satellite Remote Sensing

Possibility estimation of determining carbon dioxide sources by airborne lidar

Analog and Photon Signal Splicing for CO2-DIAL Based on Piecewise Nonlinear Algorithm

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Product

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Design of Inversion Procedure for the Airborne CO₂-IPDA LIDAR: A Preliminary Study