Wavelength selection and detection capability simulation of the mid-infrared DIAL for NO<sub>2</sub> detecion

Ling, 徐 玲 Xu; Bu, Lingbing; Haoze, 蔡镐泽 Cai; Rina, 萨日娜 Sa; Bin, 杨彬 Yang; Jun, 周军 Zhou

doi:10.3788/irla201847.1030002

Cited by 3 publications

(1 citation statement)

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“…In addition to determining the specific distribution of clouds, estimating cloud thickness is crucial for formulating effective astronomical observation strategies. Existing research has shown that infrared radiation measurements of clouds can provide insights into their thickness characteristics (Liang et al 2017), while LiDAR cloud measurement technology can provide information including cloud base and top heights (Lingbing et al 2013). Microwave radar technology can yield information about the vertical and horizontal structure of multi-layer clouds (Qi et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Cloud Identification and Reconstruction from All-sky Camera Images Based on Star Photometry Estimation

Zhi 支,

Wang 王,

Zhang 张

et al. 2024

PASP

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Cloud cover significantly influences ground-based optical astronomical observations, with nighttime astronomy often relying on visible light all-sky cameras for cloud detection. However, existing algorithms for processing all-sky cloud images typically require extensive manual intervention, posing challenges in identifying clouds with pronounced extinction characteristics. Furthermore, there is a lack of effective means for detailed visualization of cloud cover. To address these issues, this paper proposes a method that reconstructs the cloud distribution and thickness from all-sky images through star identification and photometry. Specifically, a high-precision star coordinate to the pixel position imaging model calibration method based on the star recognition for fisheye lenses is investigated, resulting in an all-sky rms error of less than 0.87 pixels. Based on the comprehensive reference star catalog, an optimized star extraction method based on SExtractor is developed to handle the difficulty of image source detection in all-sky cloud images. The optical thickness and distribution of cloud layers is calculated through star matching and extinction measurements. Finally, contingent upon the capability of camera and catalog star density, seven cloud layer reconstruction methods are proposed based on meshing and machine learning techniques, achieving a reconstruction accuracy of up to 1.°8. The processing results from real observed images indicate that the proposed method offers a straightforward calibration process and delivers excellent cloud cover extraction and reconstruction outcomes, thereby providing practical value in telescope dynamic scheduling, site characterization and the development of observation strategies.

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Section: Introductionmentioning

confidence: 99%

Cloud Identification and Reconstruction from All-sky Camera Images Based on Star Photometry Estimation

Zhi 支,

Wang 王,

Zhang 张

et al. 2024

PASP

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High Repetition Rate Mid-Infrared Differential Absorption Lidar for Atmospheric Pollution Detection

Gong

Yang³

et al. 2020

Sensors

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Developments in mid-infrared Differential Absorption Lidar (DIAL), for gas remote sensing, have received a significant amount of research in recent years. In this paper, a high repetition rate tunable mid-infrared DIAL, mounted on a mobile platform, has been built for long range remote detection of gas plumes. The lidar uses a solid-state tunable optical parametric oscillator laser, which can emit laser pulse with repetition rate of 500 Hz and between the band from 2.5 μm to 4 μm. A monitoring channel has been used to record the laser energy in real-time and correct signals. Convolution correction technology has also been incorporated to choose the laser wavelengths. Taking NO2 and SO2 as examples, lidar system calibration experiment and open field observation experiment have been carried out. The observation results show that the minimum detection sensitivity of NO2 and SO2 can reach 0.07 mg/m3, and 0.31 mg/m3, respectively. The effective temporal resolution can reach second level for the high repetition rate of the laser, which demonstrates that the system can be used for the real-time remote sensing of atmospheric pollution gas.

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用于远程气体探测的双波长中红外激光器（特邀）

Xinjie Lü,

Yang Bin,

Yao Hongquan

et al. 2024

激光与光电子学进展

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Wavelength selection and detection capability simulation of the mid-infrared DIAL for NO₂ detecion

Cited by 3 publications

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Cloud Identification and Reconstruction from All-sky Camera Images Based on Star Photometry Estimation

Cloud Identification and Reconstruction from All-sky Camera Images Based on Star Photometry Estimation

High Repetition Rate Mid-Infrared Differential Absorption Lidar for Atmospheric Pollution Detection

用于远程气体探测的双波长中红外激光器（特邀）

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Wavelength selection and detection capability simulation of the mid-infrared DIAL for NO2 detecion

Cited by 3 publications

References 0 publications

Cloud Identification and Reconstruction from All-sky Camera Images Based on Star Photometry Estimation

Cloud Identification and Reconstruction from All-sky Camera Images Based on Star Photometry Estimation

High Repetition Rate Mid-Infrared Differential Absorption Lidar for Atmospheric Pollution Detection

用于远程气体探测的双波长中红外激光器（特邀）

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Wavelength selection and detection capability simulation of the mid-infrared DIAL for NO₂ detecion