Dr. Zhibin Sun Profile

Dr. Zhibin Sun

at USDA UV-B Monitoring and Research Program

SPIE Involvement:

Author | Science Fair Judge

Publications (30)

Proceedings Article | 3 October 2022 Presentation

Study the wildfire impacts on surface UV irradiance by ground measurement

Joey Paulson, Zhibin Sun, Maosi Chen, Wei Gao

Proceedings Volume 12233, 122330L (2022) https://doi.org/10.1117/12.2633516

KEYWORDS: Ultraviolet radiation, Aerosols, Solar radiation, Scattering, Earth's atmosphere, Combustion, Atmospheric particles

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Proceedings Article | 6 September 2019 Paper

Reconstruct missing pixels of Landsat land surface temperature product using a CNN with partial convolution

Maosi Chen, Benjamin Newell, Zhibin Sun, Chelsea Corr, Wei Gao

Proceedings Volume 11139, 111390E (2019) https://doi.org/10.1117/12.2529462

KEYWORDS: Convolutional neural networks, Clouds, Earth observing sensors, Landsat, Computer programming, Satellite imaging, Data modeling, Agriculture

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Proceedings Article | 28 September 2018 Paper

Using remote sensing to assess sustainable development on a Chinese national-level new district

Hua Wan, Zhibin Sun, Lingbin Yan, Bilige Nari

Proceedings Volume 10767, 107670V (2018) https://doi.org/10.1117/12.2322009

KEYWORDS: Ecosystems, Remote sensing

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Proceedings Article | 27 September 2018 Paper

Spatial interpolation of surface ozone observations using deep learning

Maosi Chen, Zhibin Sun, John Davis, Chaoshun Liu, Wei Gao

Proceedings Volume 10767, 107670C (2018) https://doi.org/10.1117/12.2320755

KEYWORDS: Neural networks, Optical filters, Convolution, Convolutional neural networks, Process modeling, Error analysis, Matrices

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Surface ozone can trigger many health problems for human (e.g. coughing, bronchitis, emphysema, and asthma), especially for children and the elderly. It also has harmful effects on plants (e.g. chlorosis, necrosis, and yield reduction). The United State (U.S.) Environmental Protection Agency (EPA) has been monitoring surface ozone concentrations across the U.S. since 1980s. However, their stations are sparsely distributed and mainly in urban areas. Evaluation of surface ozone effects at any given locations in the U.S. requires spatial interpolation of ozone observations. In this study, we implemented two traditional spatial interpolation methods (i.e. triangulation-based linear interpolation and geostatistics-based method). One limitation of these two methods is their reliance on single-scene observations in constructing the spatial relationship, which is prone to influence of noisy observations and has large uncertainty. Deep learning, on the other hand, is capable of simulating common patterns (including complex spatial patterns) from a large amount of training samples. Therefore, we also implemented three deep learning algorithms for the spatial interpolation problem: mixture model network (MoNet), Convolutional Neural Network for Graphs (ChebNet), and Recurrent Neural Network (RNN). The training and validation data of this study are the 2016 EPA hourly surface ozone observations within ±3-degree box centered at the Billings, Oklahoma station (USDA UV-B Monitoring and Research Program). The results showed that among the five methods, RNN and MoNet outperformed the two traditional spatial interpolation methods and RNN has the lowest validation error (mean absolute error: 2.82 ppb; standard deviation: 2.76 ppb). Finally, we used the integrated gradients method to analyze the attribution of RNN inputs on the surface ozone prediction. The results showed that surface ozone observation is the most important input feature followed by distance and absolute locations (i.e. elevations, longitudes, and latitudes).

Proceedings Article | 21 September 2018 Paper

Change of sea surface temperature in the northwest Pacific Ocean over the past decade and its impacts on fisheries

Zhu Tao, Runhe Shi, Zhibin Sun, Wei Gao

Proceedings Volume 10767, 1076712 (2018) https://doi.org/10.1117/12.2319257

KEYWORDS: MODIS, Temperature metrology, Water, Remote sensing, Satellites, Oceanography, Infrared radiation, Clouds, Sensors, Algorithm development

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Proceedings Article | 18 September 2018 Presentation

Ensemble learning of satellite remote sensing images via integrating deep and fast learning algorithms for water quality monitoring (Conference Presentation)

Ni-Bin Chang, Zhibin Sun, Wei Gao

Proceedings Volume 10767, 107670D (2018) https://doi.org/10.1117/12.2319432

KEYWORDS: Remote sensing, Satellite imaging, Earth observing sensors, Satellites, Image fusion, Feature extraction, Reconstruction algorithms, Statistical modeling, Temporal resolution

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Proceedings Article | 18 September 2018 Paper

Utility of CrIS/ATMS temperature and humidity profiles to diagnose the atmospheric duct

Yixing Zhang, Xiaojing Hao, Yan-An Liu, Zhibin Sun

Proceedings Volume 10767, 107671A (2018) https://doi.org/10.1117/12.2320936

KEYWORDS: Humidity, Satellites, Atmospheric propagation, Atmospheric sciences, Diagnostics, Radio propagation, Data analysis, Clouds, Atmospheric sensing

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Proceedings Article | 18 September 2018 Paper

Correction and prediction of ultraviolet (UV-MFRSR) radiation value based on GARCH model

Wei Zhuo, Runhe Shi, Zhibin Sun, Wei Gao

Proceedings Volume 10767, 107670O (2018) https://doi.org/10.1117/12.2320106

KEYWORDS: Ultraviolet radiation, Data modeling, Atmospheric modeling, Autoregressive models, Solar radiation, Calibration, Radiometry, Aerosols, Ozone, Signal attenuation

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Proceedings Article | 19 September 2017 Paper

Total ozone column retrieval from UV-MFRSR irradiance measurements: evaluation at Mauna Loa station

Melina Maria Zempila, Konstantinos Fragkos, John Davis, Zhibin Sun, Maosi Chen, Wei Gao

Proceedings Volume 10405, 1040507 (2017) https://doi.org/10.1117/12.2274565

KEYWORDS: Ozone, Ultraviolet radiation, Atmospheric optics, Earth's atmosphere, Algorithm development, Calibration

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Proceedings Article | 19 September 2017 Paper

Quality assurance of the UV irradiances of the UV-B Monitoring and Research Program: the Mauna Loa test case

Melina Maria Zempila, John Davis, George Janson, Becky Olson, Maosi Chen, Bill Durham, Scott Simpson, Jonathan Straube, Zhibin Sun, Wei Gao

Proceedings Volume 10405, 104050A (2017) https://doi.org/10.1117/12.2274525

KEYWORDS: Ultraviolet radiation, Radiometry, Calibration, Agriculture, Solar radiation, Climate change, Quality measurement, Climatology

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Proceedings Article | 1 September 2017 Paper

Potential inundated coastal area estimation in Shanghai with multi-platform SAR and altimetry data

Guanyu Ma, Tianliang Yang, Qing Zhao, Julia Kubanek, Antonio Pepe, Hongbin Dong, Zhibin Sun

Proceedings Volume 10405, 104050V (2017) https://doi.org/10.1117/12.2272961

KEYWORDS: Synthetic aperture radar, Interferometry, Sensors, Interferometric synthetic aperture radar, Climate change, Coastal modeling

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Proceedings Article | 1 September 2017 Presentation + Paper

Using input feature information to improve ultraviolet retrieval in neural networks

Zhibin Sun, Ni-Bin Chang, Wei Gao, Maosi Chen, Melina Zempila

Proceedings Volume 10405, 1040506 (2017) https://doi.org/10.1117/12.2274522

KEYWORDS: Feature extraction, Ultraviolet radiation, Neural networks

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Proceedings Article | 1 September 2017 Paper

Using deep recurrent neural network for direct beam solar irradiance cloud screening

Maosi Chen, John Davis, Chaoshun Liu, Zhibin Sun, Melina Maria Zempila, Wei Gao

Proceedings Volume 10405, 1040503 (2017) https://doi.org/10.1117/12.2273364

KEYWORDS: Clouds, Standards development, Systems modeling, Ultraviolet radiation, Calibration, Radiometry, Agriculture

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Proceedings Article | 1 September 2017 Paper

Relationship between Aleutian Low and sea surface heat flux during North Pacific winter

Junqiang Gong, Chaoshun Liu, Zhibin Sun

Proceedings Volume 10405, 104050G (2017) https://doi.org/10.1117/12.2272706

KEYWORDS: Heat flux, Climatology

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Proceedings Article | 1 September 2017 Paper

Residual settlements detection of ocean reclaimed lands with multi-platform SAR time series and SBAS technique: a case study of Shanghai Pudong International Airport

Lei Yu, Tianliang Yang, Qing Zhao, Antonio Pepe, Hongbin Dong, Zhibin Sun

Proceedings Volume 10405, 104050X (2017) https://doi.org/10.1117/12.2273107

KEYWORDS: Synthetic aperture radar, Satellites, Buildings, Sensors

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Shanghai Pudong International airport is one of the three major international airports in China. The airport is located at the Yangtze estuary which is a sensitive belt of sea and land interaction region. The majority of the buildings and facilities in the airport are built on ocean-reclaimed lands and silt tidal flat. Residual ground settlement could probably occur after the completion of the airport construction. The current status of the ground settlement of the airport and whether it is within a safe range are necessary to be investigated. In order to continuously monitor the ground settlement of the airport, two Synthetic Aperture Radar (SAR) time series, acquired by X-band TerraSAR-X (TSX) and TanDEM-X (TDX) sensors from December 2009 to December 2010 and from April 2013 to July 2015, were used for analyzing with SBAS technique. We firstly obtained ground deformation measurement of each SAR subset. Both of the measurements show that obvious ground subsidence phenomenon occurred at the airport, especially in the second runway, the second terminal, the sixth cargo plane and the eighth apron. The maximum vertical ground deformation rates of both SAR subset measurements were greater than -30 mm/year, while the cumulative ground deformations reached up to -30 mm and -35 mm respectively. After generation of SBAS-retrieved ground deformation for each SAR subset, we performed a joint analysis to combine time series of each common coherent point by applying a geotechnical model. The results show that three centralized areas of ground deformation existed in the airport, mainly distributed in the sixth cargo plane, the fifth apron and the fourth apron, The maximum vertical cumulative ground subsidence was more than -70 mm. In addition, by analyzing the combined time series of four selected points, we found that the ground deformation rates of the points located at the second runway, the third runway, and the second terminal, were progressively smaller as time goes by. It indicates that the stabilities of the foundation around these points were gradually enhanced.

Proceedings Article | 19 September 2016 Paper

Implementation of data management and analysis system for marine ranching

Xiaopeng Jiang, Zhiqiang Gao, Weitao Shang, Chaoshun Liu, ZhiBin Sun

Proceedings Volume 9975, 99750R (2016) https://doi.org/10.1117/12.2236450

KEYWORDS: Remote sensing, Ocean optics, Image processing, Geographic information systems, Analytical research, Oceanography, Water, System integration, Human-machine interfaces, Image classification

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Proceedings Article | 19 September 2016 Paper

Effects of microphysics parameterization schemes on the simulation of a heavy rainfall event in Shanghai

Yu Kan, Chaoshun Liu, Fengxue Qiao, Yanan Liu, Wei Gao, Zhibin Sun

Proceedings Volume 9975, 99750U (2016) https://doi.org/10.1117/12.2237281

KEYWORDS: Clouds, Convection, Computer simulations, Atmospheric modeling, Meteorology, Ecology, Ecosystems, Process modeling, Phase modulation, Performance modeling

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Proceedings Article | 19 September 2016 Paper

Identification of Phragmites australis and Spartina alterniflora in the Yangtze Estuary between Bayes and BP neural network using hyper-spectral data

Pudong Liu, Jiayuan Zhou, Runhe Shi, Chao Zhang, Chaoshun Liu, Zhibin Sun, Wei Gao

Proceedings Volume 9975, 99750H (2016) https://doi.org/10.1117/12.2236772

KEYWORDS: Reflectivity, Neural networks, Probability theory, Ecosystems, Remote sensing, Water, Ecology, Coastal modeling, Spectral resolution, Bayesian inference

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Proceedings Article | 19 September 2016 Presentation + Paper

Analysis of ten years of surface UV observations from data fusion for the continental U.S.

Zhibin Sun, John Davis, Wei Gao

Proceedings Volume 9975, 99750B (2016) https://doi.org/10.1117/12.2238058

KEYWORDS: Ultraviolet radiation, Data fusion, Analytical research, Earth observing sensors, Satellites, Ions, Statistical analysis, Ozone, Error analysis, Ecosystems

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Proceedings Article | 19 September 2016 Paper

The study method of estimation tidal flat with remote sensing waterlines

Zhiqiang Gao, Xiangyang Liu, Yuanyuan Zhang, Chaoshun Liu, Zhibin Sun

Proceedings Volume 9975, 99750J (2016) https://doi.org/10.1117/12.2235205

KEYWORDS: Remote sensing, Image classification, Agriculture, Image resolution, Image segmentation, Satellite imaging, Satellites, Classification systems, Optical tracking, Edge detection

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Proceedings Article | 19 September 2016 Paper

Evaluation of the consistency of OMI-TOMS total ozone with collocated ground-based measurements

Mingliang Ma, Runhe Shi, Kaixu Bai, Chaoshun Liu, Wei Gao, Zhibin Sun

Proceedings Volume 9975, 99750W (2016) https://doi.org/10.1117/12.2238604

KEYWORDS: Ozone, Satellites, Ultraviolet radiation, Algorithm development, Environmental sensing, Remote sensing, Spectroscopy, Spectrophotometry, Neodymium, Backscatter

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Proceedings Article | 19 September 2016 Paper

Remote sensing monitoring of green tide in the Yellow Sea in 2015 based on GF-1 WFV data

Xiangyu Zheng, Zhiqiang Gao, Jicai Ning, Fuxiang Xu, Chaoshun Liu, Zhibin Sun

Proceedings Volume 9975, 99750L (2016) https://doi.org/10.1117/12.2235833

KEYWORDS: Atmospheric corrections, Remote sensing, Atmospheric corrections, Remote sensing, Satellites, Data modeling, Image resolution, Atmospheric modeling, Spatial resolution, MODIS, Satellite imaging, Geographic information systems

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