Dr. Peng Zhang Profile

Dr. Peng Zhang

at National Satellite Meteorological Ctr

SPIE Involvement:

Author | Editor

Publications (19)

Proceedings Article | 1 December 2023 Open Access

Using FY-3 remote sensing to monitor the evolution of El Niño events (Erratum)

Wanjiao Song, Tao Lian, Peng Zhang, Ling Sun

Proceedings Volume 12267, 1226719 (2023) https://doi.org/10.1117/12.3022554

KEYWORDS: Remote sensing, Electroluminescence, Satellites, Signal processing, Image processing, Environmental sensing, Sun, Space weather, Radiometric calibration, Meteorological satellites

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Proceedings Article | 24 November 2023 Paper

Analysis of the effect of profile selection on the simulation accuracy of fast simulation of satellite infrared channel transmittance

Qingyu Mu, Gang Ma, Jing Su, Meihua Wang, Peng Zhang

Proceedings Volume 12935, 129350B (2023) https://doi.org/10.1117/12.3000266

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Proceedings Article | 24 May 2023 Paper

Polarization sensitivity calibration of the non-polarization channel of polarization multiangle imager onboard Fengyun satellite

Haofei Wang, Peng Zhang, Dekui Yin, Jian Shang, Xiuqing Hu, Zhengqiang Li

Proceedings Volume 12706, 1270615 (2023) https://doi.org/10.1117/12.2683135

KEYWORDS: Polarization, Calibration, Satellites, Clouds, Radiometric calibration, Polarized light

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The polarization instrument of Fengyun-3 precipitation satellite is the first Polarization and Multi-Angle Imager (PMAI) with short-wave infrared channel in China, aiming to accurately measure the radiation characteristics of clouds and aerosols in the atmosphere. The accuracy of radiometric measurement is an important technical index of instrument performance, which is of great significance for the inversion of high-precision quantitative parameters of satellite remote sensing. For the non-polarization channel of a polarization imager, polarization is a kind of interference information, and the polarization sensitivity of the instrument needs to be inverted and quantitatively removed to improve the accuracy of radiation calibration. A method of least squares fitting response value of complete linear polarization incident light based on different polarization angles is proposed to measure the polarization sensitivity of the non-polarization channel full field of view. According to the measured polarization rate of each channel and the polarization characteristics of the incident light, the polarization sensitivity of each channel is calibrated based on the polarization calibration model. The results show that the polarization sensitivity of the non-polarization channel shows obvious edge effect, gradually increasing from the center of the focal plane to the edge, and has obvious spectral differences, the smaller the wavelength having the higher the polarization sensitivity. The maximum polarization sensitivity occurs in the edge field of view of the non-polarization channel in the 1030nm band, close to 1.6%, which has a great impact on the accuracy of radiometric calibration. After polarization sensitivity calibration, the polarization sensitivity of the edge field of view is within 0.5%. The results show that by calibrating the polarization sensitivity of the full field of view of the non-polarization channel, the radiometric calibration can be effectively improved, which provides strong support for high-precision quantitative remote sensing.

Proceedings Article | 31 January 2023 Paper

Radiometric nonlinearity and the correction strategies for infrared hyperspectral benchmark sounder

Lu Lee, Chengli Qi, Lei Ding, Peng Zhang, Xiuqing Hu, Mingjian Gu, Tianhang Yang

Proceedings Volume 12505, 1250523 (2023) https://doi.org/10.1117/12.2665585

KEYWORDS: Calibration, Interferograms, Fourier transforms, Infrared radiation, Signal detection, Climatology, Sensors

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Proceedings Article | 26 October 2022 Poster + Paper

Using FY-3 remote sensing to monitor the evolution of El Niño events

Wanjiao Song, Tao Lian, Peng Zhang, Ling Sun

Proceedings Volume 12267, 122670X (2022) https://doi.org/10.1117/12.2628235

KEYWORDS: Electroluminescence, Satellites, Convection, Error analysis, Climatology, Meteorological satellites, Remote sensing, Lanthanum, Statistical analysis, Radiometry

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Proceedings Article | 5 March 2018 Paper

Experimental verification of self-calibration radiometer based on spontaneous parametric downconversion

Dongyang Gao, Xiaobing Zheng, Jianjun Li, Youbo Hu, Maopeng Xia, Abdul Salam, Peng Zhang

Proceedings Volume 10710, 1071003 (2018) https://doi.org/10.1117/12.2303710

KEYWORDS: Calibration, Radiometry, Sensors, Lamps, Photon counting, Standards development, Crystals, Mirrors, Channel projecting optics, Transmittance

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Proceedings Article | 5 May 2016 Paper

Analysis of aerosol properties derived from sun photometer and lidar over Dunhuang radiometric calibration site

Lin Chen, Yingying Jing, Peng Zhang, Xiuqing Hu

Proceedings Volume 9876, 98763G (2016) https://doi.org/10.1117/12.2228016

KEYWORDS: Aerosols, Calibration, Remote sensing, Radio optics, Atmospheric particles, Satellites, LIDAR, Sun, Photometry, Refractive index

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Proceedings Article | 10 December 2014 Paper

FY-3C/VIRR SST algorithm and cal/val activities at NSMC/CMA

Sujuan Wang, Peng Cui, Peng Zhang, Maonong Ran, Feng Lu, Weihe Wang

Proceedings Volume 9261, 92610G (2014) https://doi.org/10.1117/12.2068773

KEYWORDS: Satellites, Algorithm development, Meteorological satellites, Infrared radiation, Sensors, Meteorology, Radiometry, Databases, Calibration, Visible radiation

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Proceedings Article | 26 November 2014 Paper

Performance assessment of FY-3C/MERSI on early orbit

Xiuqing Hu, Na Xu, Ronghua Wu, Lin Chen, Min Min, Ling Wang, Hanlie Xu, Ling Sun, Zhongdong Yang, Peng Zhang

Proceedings Volume 9264, 92640Y (2014) https://doi.org/10.1117/12.2071190

KEYWORDS: Calibration, Reflectivity, Signal to noise ratio, Modulation transfer functions, Sensors, Mirrors, MODIS, Satellites, Interference (communication), Image resolution

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Proceedings Article | 26 November 2014 Paper

In-flight intercalibration of FY-3C visible channels with AQUA MODIS

Na Xu, Lin Chen, Ronghua Wu, Xiuqing Hu, Ling Sun, Peng Zhang

Proceedings Volume 9264, 926408 (2014) https://doi.org/10.1117/12.2071185

KEYWORDS: Calibration, Reflectivity, MODIS, Satellites, Magnesium, Sensors, Visible radiation, Radiometry, Meteorological satellites, Spatial resolution

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Proceedings Article | 26 November 2014 Paper

FY-3C/MERSI pre-launch calibration for reflective solar bands

Lin Chen, Na Xu, Yuan Li, Ronghua Wu, Xiuqing Hu, Peng Zhang

Proceedings Volume 9264, 92640Z (2014) https://doi.org/10.1117/12.2070397

KEYWORDS: Calibration, Reflectivity, Sensors, Meteorological satellites, Spectrometers, Sun, Radiometry, Satellite imaging, Satellites, Optical sensors

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Medium Resolution Spectral Imager (MERSI) is the key imaging sensor on board Fengyun-3 (FY-3), the second generation polar-orbiting meteorological satellites in China, currently operating on both FY-3A, FY-3B and FY-3C satellites. It has 20 spectral bands, including 19 reflective solar bands (RSBs) with center wavelengths from 0.41μm to 2.1μm and 1 thermal emissive band (TEB) with center wavelength 12μm, making observations at two spatial resolutions: 250 m (bands 1-5) and 1km (bands 6-20). The FY-3C has been launched in 23, Sept., 2013. The MERSI doesn't carry on-board calibration standards. To obtain RSBs radiometric responses, pre-launched field radiometric calibration test which is called Solar Radiation Based Calibration(SRBC) was taken in Dali in 27, Feb. to 2, Mar., 2013. For the SRBC measurement which the sun was the source of irradiance, MERSI viewed the reflected solar irradiance from a set of the sixteen reference spectral on panels with different reflective level. The uniformity, reflectivity and BRDF (Bidirectional reflection of distribution function) of sixteen reference panels were tested in advance. There are two kinds of calibration coefficient generation methods used in SRBC. One is similar as the Sea-WiFS pre-launch calibration method by Langley calibration. Besides this, we use a portable spectrometers produced by Analytical Spectral Devices inc. (ASD inc.) named FieldSpec 3 to measure the absolutely reflected radiance simultaneously. The calibrated spectrometers measured radiance could be as the reference radiance and the the calibration coefficient of the MERSI can be calculated. We called this method Calibration Based on Reference Instrument(CBRI). The results of these two methods are comparable. The CBRI results are less then 6% difference with Langley calibration method in most channels except water-vapor channels and channel 15. An non-linear feature of the most FY-3C/MERSI detectors was found for the first time. This phenomenon is even more obvious for the water-vapor channels. The second order coefficient determined by pre-launched calibration is quite useful to improve the on-obit calibration accuracy.

Proceedings Article | 18 November 2014 Paper

Regression modeling of finite field and anti-electromagnetic design for the ocean surface wind speed measurements of the FY-3C microwave imager

Dawei An, Feng Lu, Fangli Dou, Peng Zhang

Proceedings Volume 9265, 92650F (2014) https://doi.org/10.1117/12.2068624

KEYWORDS: Data modeling, Satellites, Microwave radiation, Imaging systems, Satellite imaging, Statistical analysis, Wind measurement, Calibration, Atmospheric modeling, Earth observing sensors

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Proceedings Article | 8 November 2014 Paper

Remote sensing of clouds and evaluation with a 220GHz radar

Dawei An, Jian Shang, Qiong Wu, Feng Lu, Peng Zhang, Weidong Hu, Shitao Wang, Mingming Bian

Proceedings Volume 9259, 92591I (2014) https://doi.org/10.1117/12.2068885

KEYWORDS: Radar, Clouds, Signal attenuation, Digital signal processing, Receivers, Antennas, Transmitters, Reflectivity, Remote sensing, Atmospheric propagation

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Proceedings Article | 8 November 2014 Paper

ATOVS microwave sounding observation cycling assimilation on a tropical cyclone case in 2012

Shuang Xi, Peng-ming Dong, Peng Zhang, Gang Ma, Dan-yu Qin

Proceedings Volume 9259, 92591E (2014) https://doi.org/10.1117/12.2068640

KEYWORDS: Satellites, Microwave radiation, Data modeling, Atmospheric modeling, Meteorological satellites, Meteorology, Data centers, Environmental sensing, Earth observing sensors, Clouds

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Proceedings Article | 8 November 2014 Paper

Investigation and validation of a dust data fusion method based on monitoring data from geostationary and polar-orbiting satellites

GuangZhen Cao, Peng Zhang, Peng Hou, Xiuqing Hu, Lin Chen

Proceedings Volume 9259, 925914 (2014) https://doi.org/10.1117/12.2070292

KEYWORDS: Remote sensing, Satellites, Meteorological satellites, Data fusion, Reliability, Infrared radiation, Algorithm development, Spatial resolution, Algorithms, Atmospheric particles

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Proceedings Article | 11 December 2008 Paper

The profile retrieval scheme of FY3A sounding suite

Xuebao Wu, Peng Zhang, Fengying Zhang, Chengli Qi, Qifeng Lu

Proceedings Volume 7149, 714906 (2008) https://doi.org/10.1117/12.805792

KEYWORDS: Humidity, Satellites, Oxygen, Ozone, Meteorological satellites, Microwave radiation, Radiative transfer, Picosecond phenomena, Error analysis, Lutetium

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Proceedings Article | 27 September 2006 Paper

Spectral characteristics of infrared radiation from forest fires

Han Sun, Zhiguo Rong, Cheng Liu, Jingjing Liu, Yan Zhang, Peng Zhang, Xinli Wang, Wei Gao

Proceedings Volume 6298, 629808 (2006) https://doi.org/10.1117/12.679775

KEYWORDS: Satellites, Combustion, Infrared radiation, Thermography, Remote sensing, Meteorological satellites, Calibration, Temperature metrology, Black bodies, Infrared imaging

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Proceedings Article | 20 January 2005 Paper

Study of hyperspectral IR atmospheric sounding with an accurate forward model

Peng Zhang, Pascal Brunel, Chaohua Dong, Deming Jiang

Proceedings Volume 5655, (2005) https://doi.org/10.1117/12.573056

KEYWORDS: Spectral resolution, Infrared radiation, Atmospheric propagation, Spectral calibration, Atmospheric modeling, Satellites, Transmittance, Thermal modeling, Temperature metrology, Absorption

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Proceedings Article | 20 January 2005 Paper

Experimental study on atmospheric parameters using new atmospheric sounding instrument data

Chaohua Dong, Deming Jiang, Chengli Qi, Peng Zhang

Proceedings Volume 5655, (2005) https://doi.org/10.1117/12.573597

KEYWORDS: Temperature metrology, Humidity, Carbon monoxide, Infrared radiation, Satellites, Atmospheric sensing, Environmental sensing, Climatology, Medium wave, Atmospheric sciences

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