Dr. Qing Zhao Profile

Dr. Qing Zhao

at East China Normal Univ

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Author

Publications (4)

Proceedings Article | 18 September 2018 Paper

Regional sea level change prediction based on time-frequency analysis and intelligent algorithm

Guanyu Ma, Qing Zhao, Maosi Chen

Proceedings Volume 10767, 1076715 (2018) https://doi.org/10.1117/12.2320067

KEYWORDS: Neural networks, Genetic algorithms, Time-frequency analysis, Data modeling, Statistical modeling, Atmospheric modeling, Signal processing, Error analysis, Signal to noise ratio, Mathematical modeling

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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 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 | 24 September 2013 Paper

Spatial and seasonal variations of MODIS aerosol optical depth in East China during 2000-2012

Tianyong Zhai, Qing Zhao, Runhe Shi, Wei Gao

Proceedings Volume 8869, 886914 (2013) https://doi.org/10.1117/12.2021853

KEYWORDS: Aerosols, MODIS, Atmospheric particles, Satellites, Adaptive optics, Reflectivity, Error analysis, Robotics, Climatology, Ions

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