Dr. Yanqing Xie Profile

Dr. Yanqing Xie

at Aerospace Information Research Institute CAS

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Publications (3)

Proceedings Article | 27 March 2022 Paper

Preliminary retrieval and validation of aerosol optical depth from the spaceborne synchronization monitoring atmospheric corrector

Weizhen Hou, Yundong Xuan, Bangyu Ge, Yanqing Xie, Lingling Xu, Xiao Liu, Zheng Shi, Yan Ma

Proceedings Volume 12169, 121699W (2022) https://doi.org/10.1117/12.2625722

KEYWORDS: Aerosols, Satellites, Reflectivity, Atmospheric optics, Atmospheric particles, Atmospheric monitoring, Satellite imaging, Atmospheric sensing, Polarization, MODIS

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The high-resolution multi-mode imaging satellite called GFDM (Gao Fen Duo Mo) has been successful launched in July 3 of 2020, which was integrated with 1 panchromatic and 8 multispectral bands with the spatial resolution of 0.42 m and 1.6 m, respectively. The Synchronization Monitoring Atmospheric Corrector (SMAC) instrument was also on board GFDM satellite, aiming for offering time synchronized and field of view overlapped atmospheric measurements to improve the atmospheric correction of the GFDM main sensor image. As the first civilian atmospheric corrector onboard high spatial resolution satellite with polarization detection, SMAC has 8 wavelength bands from visible to short-wave infrared with the spatial resolution about 6.7 km. In order take full advantage of the multispectral measurements of SMAC, we investigate to retrieve the aerosol optical depth (AOD) by using the intensity measurements in this study. To decouple the surface-atmosphere contribution from SAMC measurements, the corresponding surface reflectance over land is derived from the Moderate-resolution Imaging Spectroradiometer (MODIS) surface bi-directional reflectance climatology. Based on the principal component analysis method and the dataset from spectral libraries, the surface reflectance ratios are further obtained by spectral conversion with the spectral response function from MODIS to SAMC for aerosol retrieval. With the aerosol look-up table (LUT) established by the Second Simulation of the Satellite Signal in the Solar Spectrum (6S) radiation transmission model, the multispectral inversions are carried out and the AODs are retrieved. In addition, the AOD data from Aerosol Robotic Network are used to validate the retrieved results from SAMC by the spatial-temporal matching, the statistical parameters including the root mean square error (RMSE) and the correlation coefficient (R) are employed together. By this means, the retrieved AODs from the intensity measurements of SAMC are preliminary investigated.

Proceedings Article | 27 March 2022 Paper

Data preprocessing methods and procedures for the wide swath polarized scanning atmospheric corrector onboard HJ-2A/B satellites

Xuefeng Lei, Zhenhai Liu, Fei Tao, Xinxin Zhao, Weizhen Hou, Honglian Huang, Yanqing Xie, Hao Dong, Peng Zou, Maoxin Song, Jin Hong

Proceedings Volume 12169, 121698D (2022) https://doi.org/10.1117/12.2625113

KEYWORDS: Polarization, Calibration, Atmospheric corrections, Remote sensing

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Proceedings Article | 5 November 2020 Paper

Preliminary study on the multispectral measurement simulations of polarized scanning atmospheric corrector image

Weizhen Hou, Yanqing Xie, Zhengqiang Li, Hongji Yang, Zhongzheng Hu, Chaoyu Song, Jun Lin, Honglian Huang, Xuefeng Lei, Bangyu Ge, Yan Ma

Proceedings Volume 11566, 115660E (2020) https://doi.org/10.1117/12.2577500

KEYWORDS: Polarization, Satellites, Atmospheric modeling, Aerosols, Satellite imaging, Radiative transfer

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Environment-2 (HJ-2) A/B satellites will be launched in 2020, which are expected to work as the successors of Environment-1 (HJ-1) satellites in Chinese Environment and Disaster Monitoring and Prediction Satellite Constellation. A new space-borne instrument called Polarized Scanning Atmospheric Corrector (PSAC) also will be onboard HJ-2 satellites, aiming to provide the atmospheric properties for synchronous atmospheric correction of the main sensors, such as the charge-coupled device cameras onboard the same satellite. PSAC is a cross-track scanning polarimeter with polarized channels from near-ultraviolet to shortwave infrared, centered in 410, 443, 555, 670, 865, 910, 1380, 1610 and 2250 nm. In order to test the performance of inversion algorithms and software modules, synthetic data simulated by the vector radiative transfer is indispensable. In this paper, the regional simulation of PSAC multispectral measurements are preliminarily studied, and the Unified Linearized Vector Radiative Transfer Model (UNL-VRTM) has been used as the forward model. For the observation geometries, the viewing zenith angles are calculated by the linear interpolation over the cross-track scanning angle range from west to east, while the viewing azimuth angle are simulated by following the azimuth angle distribution of other corresponding satellite. By taking the vegetated surface type as an example, the multispectral Lambertian surface reflectance and wavelength-independent BPDF model are used in the forward simulation, and different aerosol optical depth with fine-dominated and coarse-dominated aerosols are considered. In this way, the multispectral measurements can be obtained by the forward simulations over a regional grid with the predefined latitude and longitude, and further analysis are carried out based on the synthetic data. Thus, this study can provide key support to the testbed of inversion algorithms and software modules before and after the satellite launch.

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