Dr. Pudong Liu Profile

Dr. Pudong Liu

at East China Normal Univ

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Author

Publications (12)

Proceedings Article | 7 September 2017 Paper

Estimating chlorophyll content of spartina alterniflora at leaf level using hyper-spectral data

Jiapeng Wang, Runhe Shi, Pudong Liu, Chao Zhang, Maosi Chen

Proceedings Volume 10405, 104050Y (2017) https://doi.org/10.1117/12.2273109

KEYWORDS: Data modeling, Vegetation, Photosynthesis, Ecosystems, Reflectivity, Spectroscopy, Spectrophotometry

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Proceedings Article | 19 September 2016 Paper

Estimation of chlorophyll content of Phragmites australis based on PROSPECT and DART models in the saltmarsh of Yangtze Estuary

Yuyan Zeng, Runhe Shi, Pudong Liu, Chao Zhang, Jiapeng Wang, Chaoshun Liu, Maosi Chen

Proceedings Volume 9975, 99750X (2016) https://doi.org/10.1117/12.2239922

KEYWORDS: Radiative transfer, Vegetation, Reflectivity, 3D modeling, Data modeling, Remote sensing, Curium, Ecosystems, Absorption

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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 | 4 September 2015 Paper

Simulation and analysis of NDVI performance based on vegetation canopy radiative transfer model

Yuyan Zeng, Runhe Shi, Pudong Liu, Jinquan Ai, Cong Zhou

Proceedings Volume 9610, 961017 (2015) https://doi.org/10.1117/12.2187221

KEYWORDS: Reflectivity, Vegetation, Radiative transfer, Data modeling, Performance modeling, Computer simulations, Remote sensing, Absorption, Optical properties, Information science

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Proceedings Article | 4 September 2015 Paper

Influence of canopy biochemical and biophysical variables on reflectance spectra based on canopy radiative transfer model with adding noise

Pudong Liu, Runhe Shi, Hong Wang, Chaoshun Liu, Zhibin Sun, Wei Gao

Proceedings Volume 9610, 96100F (2015) https://doi.org/10.1117/12.2186727

KEYWORDS: Reflectivity, Data modeling, Soil science, Vegetation, Remote sensing, Radiative transfer, Device simulation, Transmittance, Curium

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Proceedings Article | 4 September 2015 Paper

Scaling effect on the estimation of chlorophyll content using narrow band NDVIs based on radiative transfer model

Hong Wang, Runhe Shi, Pudong Liu, Zhou Cong

Proceedings Volume 9610, 961010 (2015) https://doi.org/10.1117/12.2186548

KEYWORDS: Reflectivity, Vegetation, Data modeling, Affine motion model, Curium, Radiative transfer, Remote sensing, Information science, Near infrared

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Proceedings Article | 8 October 2014 Paper

The impacts of bandwidths on the estimation of leaf chlorophyll concentration using normalized difference vegetation indices

Mingliang Ma, Runhe Shi, Pudong Liu, Hong Wang, Wei Gao

Proceedings Volume 9221, 922111 (2014) https://doi.org/10.1117/12.2061290

KEYWORDS: Reflectivity, Vegetation, Data modeling, Remote sensing, Spectroscopy, Ecosystems, Spectral resolution, Data acquisition, Information science, Radiative transfer

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Proceedings Article | 8 October 2014 Paper

Estimating leaf photosynthetic pigments information by stepwise multiple linear regression analysis and a leaf optical model

Pudong Liu, Runhe Shi, Hong Wang, Kaixu Bai, Wei Gao

Proceedings Volume 9221, 92211A (2014) https://doi.org/10.1117/12.2060530

KEYWORDS: Reflectivity, Data modeling, Remote sensing, Statistical analysis, Mathematical modeling, Biological research, Statistical modeling, Vegetation, Autoregressive models, Mathematics

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Proceedings Article | 8 October 2014 Paper

Analysis of optimal narrow band RVI for estimating foliar photosynthetic pigments based on PROSPECT model

Hong Wang, Runhe Shi, Pudong Liu, Mingliang Ma, Wei Gao

Proceedings Volume 9221, 922110 (2014) https://doi.org/10.1117/12.2061281

KEYWORDS: Reflectivity, Vegetation, Data modeling, Remote sensing, Near infrared, Photosynthesis, Curium, Absorption, Ecosystems

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Proceedings Article | 2 October 2014 Paper

Evaluation of CALIPSO aerosol optical depth using AERONET and MODIS data over China

Chaoshun Liu, Xianxia Shen, Wei Gao, Pudong Liu, Zhibin Sun

Proceedings Volume 9221, 92210F (2014) https://doi.org/10.1117/12.2058929

KEYWORDS: MODIS, Aerosols, Atmospheric optics, Satellites, LIDAR, Clouds, Atmospheric particles, Ocean optics, Atmospheric sensing, Atmospheric chemistry

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Aerosol optical depth (AOD) data from Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) were inter-compared and validated against ground-based measurements from Aerosol Robotic Network (AERONET) as well as Moderate Resolution Imaging Spectroradiometer (MODIS) over China during June 2006 to December 2012. We have compared the AOD between CALIOP and AERONET site by site using quality control flags to screen the AOD data. In general, CALIOP AOD is lower than AERONET due to cloud effect detected algorithm and retrieval uncertanty. Better agreement is apparent for these sites: XiangHe, Beijing, Xinglong, and SACOL. Low correlations were observed between CALIPSO and ground-based sunphotometer data in in south or east China. Comparison results show that the overall spatio-temporal distribution of CALIPSO AOD and MODIS AOD are basically consistent. As for the spatial distribution, both of the data show several high-value regions and low-value regions in China. CALIPSO is systematically lower than MODIS over China, especially over high AOD value regions for all seasons. As for the temporal variation, both data show a significant seasonal variation: AOD is largest in spring, then less in summer, and smallest in winter and autumn. Statistical frequency analysis show that CALIPSO AOD and MODIS AOD was separated at the cut-off points around 0.2 and 0.8, the frequency distribution curves were almost the same with AOD between 0.2 and 0.8, while AOD was smaller than 0.4, CALIPSO AOD gathered at the low-value region (0-0.2) and the frequency of MODIS AOD was higher than CALIPSO AOD with AOD greater than 0.8. CALIOP AOD values show good correlation with MODIS AOD for all time scales, particularly for yearly AOD with higher correlation coefficient of 0.691. Seasonal scatterplot comparisons suggest the highest correlation coefficient of 0.749 in autumn, followed by winter of 0.665, summer of 0.566, and spring of 0.442. Evaluation of CALIOP AOD retrievals provides prospect application for CALIPSO data.

Proceedings Article | 2 October 2014 Paper

Assimilation of remote sensing data into crop growth model to improve the estimation of regional winter wheat yield

Chaoshun Liu, Wei Gao, Pudong Liu, Zhibin Sun

Proceedings Volume 9221, 922104 (2014) https://doi.org/10.1117/12.2058931

KEYWORDS: Data modeling, Remote sensing, Yield improvement, Atmospheric modeling, Statistical modeling, MODIS, Agriculture, Filtering (signal processing), Calibration, Computer simulations

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Proceedings Article | 24 September 2013 Paper

Long-term NO2 monitoring by satellite in the Pearl River Delta

Long Li, Runhe Shi, Pudong Liu, Jie Zhang

Proceedings Volume 8869, 886916 (2013) https://doi.org/10.1117/12.2021779

KEYWORDS: NOx, Ozone, Satellites, Remote sensing, Environmental sensing, Atmospheric monitoring, Nitrous oxide, Atmospheric sensing, Atmospheric particles, Climate change

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Showing 5 of 12 publications

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