Dr. Wei Gao Profile

Dr. Wei Gao

Professor at Colorado State University

SPIE Involvement:

Track Chair | Author | Editor

Publications (202)

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 | 9 September 2019 Paper

Synthesis of multi-sensor top of atmosphere and ground level reflectances to support high-resolution AOD estimation with machine learning

Ni-Bin Chang, Xiaoli Wei, Kaixu Bai, Wei Gao

Proceedings Volume 11127, 1112707 (2019) https://doi.org/10.1117/12.2526782

KEYWORDS: Reflectivity, Earth observing sensors, Landsat, Data fusion, MODIS, Spatial resolution, Satellites, Aerosols

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Proceedings Article | 6 September 2019 Paper

Comparative analysis of data merging and fusion algorithms for the prediction of aerosol optical depth

Ni-Bin Chang, Xiaoli Wei, Kaixu Bai, Wei Gao

Proceedings Volume 11130, 1113007 (2019) https://doi.org/10.1117/12.2526790

KEYWORDS: Data fusion, Reflectivity, Earth observing sensors, Landsat, Satellites, Image fusion, MODIS, Aerosols, Satellite imaging

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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 | 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 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 | 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

Analysis on land use changes and their driving forces in Weihai City between 2005 and 2015

Hong Sun, Qiuxian Wang, Zhiqiang Gao, Wei Gao, Maosi Chen

Proceedings Volume 10767, 107670U (2018) https://doi.org/10.1117/12.2320880

KEYWORDS: Classification systems, Remote sensing, Visualization, Earth observing sensors, Landsat, Databases, Analytical research

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Proceedings Article | 18 September 2018 Paper

Analysis of land use changes and driving factors in Dongying urban area from 2005 to 2015

Baorong Liu, Qiuxian Wang, Zhiqiang Gao, Wei Gao, Maosi Chen

Proceedings Volume 10767, 107670R (2018) https://doi.org/10.1117/12.2320421

KEYWORDS: Analytical research, Remote sensing

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SPIE Journal Paper | 28 April 2018

Adaptive bias correction of advanced infrared sounding radiance assimilation in a regional model and its impact on typhoon forecast

Yan-An Liu, Hung-Lung Allen Huang, Agnes Huei Ni Lim, Wei Gao

JARS, Vol. 12, Issue 02, 026012, (April 2018) https://doi.org/10.1117/12.10.1117/1.JRS.12.026012

KEYWORDS: Infrared radiation, Data modeling, Absorption, Thermal modeling, Satellites, Statistical analysis, Statistical modeling, Radiative transfer, Error analysis, Humidity

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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 | 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 | 1 September 2017 Paper

Trends of tropospheric NO2 over Yangtze River Delta region and the possible linkage to rapid urbanization

Mingliang Ma, Deying Zhang, Qiyang Liu, Yue Song, Jiayuan Zhou, Runhe Shi, Wei Gao

Proceedings Volume 10405, 104050T (2017) https://doi.org/10.1117/12.2272698

KEYWORDS: NOx, Roads, Satellites

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Proceedings Article | 1 September 2017 Paper

Numerical simulation analysis of the valley wind of the Mount Huangshan based on Noah and MYJ scheme

Zhenxiang Shen, Chaoshun Liu, Wei Gao, Yan Chen

Proceedings Volume 10405, 1040513 (2017) https://doi.org/10.1117/12.2273374

KEYWORDS: Atmospheric monitoring, Atmospheric sensing, Humidity

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Proceedings Article | 1 September 2017 Paper

Effects of distribution density and cell dimension of 3D vegetation model on canopy NDVI simulation base on DART

Zhu Tao, Runhe Shi, Yuyan Zeng, Wei Gao

Proceedings Volume 10405, 1040511 (2017) https://doi.org/10.1117/12.2273308

KEYWORDS: 3D modeling, Computer simulations, Error analysis, Vegetation, Remote sensing, Analytical research, Scene simulation, Visualization

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Proceedings Article | 1 September 2017 Paper

Estimating reclamation-induced carbon loss in coastal wetlands using time series GF-1 WVF data: a case study in the Yangtze Estuary

Jinquan Ai, Zhiqiang Gao, Chao Zhang, Wei Gao, Runhe Shi, Debin Song, Fuxiang Xu, Maosi Chen

Proceedings Volume 10405, 104050H (2017) https://doi.org/10.1117/12.2270695

KEYWORDS: Carbon, Remote sensing, Climatology, Carbon sequestration, Ecosystems, Climate change, Carbon dioxide, Vegetation

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Proceedings Article | 1 September 2017 Paper

Estimating fine particulates less than 2.5 microns in aerodynamic diameter (PM2.5) in Northeastern China: a model approach

Xiaoli Wei, Runhe Shi, Wei Gao, Deying Zhang

Proceedings Volume 10405, 104050U (2017) https://doi.org/10.1117/12.2272937

KEYWORDS: Aerosols, Remote sensing, Atmospheric particles, Atmospheric sensing, MODIS, Clouds, Satellites

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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 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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SPIE Journal Paper | 24 May 2017

Phenology-based Spartina alterniflora mapping in coastal wetland of the Yangtze Estuary using time series of GaoFen satellite no. 1 wide field of view imagery

Jinquan Ai, Wei Gao, Zhiqiang Gao, Runhe Shi, Chao Zhang

JARS, Vol. 11, Issue 02, 026020, (May 2017) https://doi.org/10.1117/12.10.1117/1.JRS.11.026020

KEYWORDS: Satellites, Image classification, Ecosystems, Satellite imaging, Cameras, Vegetation, Reflectivity

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Spartina alterniflora is an aggressive invasive plant species that replaces native species, changes the structure and function of the ecosystem across coastal wetlands in China, and is thus a major conservation concern. Mapping the spread of its invasion is a necessary first step for the implementation of effective ecological management strategies. The performance of a phenology-based approach for S. alterniflora mapping is explored in the coastal wetland of the Yangtze Estuary using a time series of GaoFen satellite no. 1 wide field of view camera (GF-1 WFV) imagery. First, a time series of the normalized difference vegetation index (NDVI) was constructed to evaluate the phenology of S. alterniflora. Two phenological stages (the senescence stage from November to mid-December and the green-up stage from late April to May) were determined as important for S. alterniflora detection in the study area based on NDVI temporal profiles, spectral reflectance curves of S. alterniflora and its coexistent species, and field surveys. Three phenology feature sets representing three major phenology-based detection strategies were then compared to map S. alterniflora: (1) the single-date imagery acquired within the optimal phenological window, (2) the multitemporal imagery, including four images from the two important phenological windows, and (3) the monthly NDVI time series imagery. Support vector machines and maximum likelihood classifiers were applied on each phenology feature set at different training sample sizes. For all phenology feature sets, the overall results were produced consistently with high mapping accuracies under sufficient training samples sizes, although significantly improved classification accuracies (10%) were obtained when the monthly NDVI time series imagery was employed. The optimal single-date imagery had the lowest accuracies of all detection strategies. The multitemporal analysis demonstrated little reduction in the overall accuracy compared with the use of monthly NDVI time series imagery. These results show the importance of considering the phenological stage for image selection for mapping S. alterniflora using GF-1 WFV imagery. Furthermore, in light of the better tradeoff between the number of images and classification accuracy when using multitemporal GF-1 WFV imagery, we suggest using multitemporal imagery acquired at appropriate phenological windows for S. alterniflora mapping at regional scales.

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

Study on the extraction method of tidal flat area in northern Jiangsu Province based on remote sensing waterlines

Yuanyuan Zhang, Zhiqiang Gao, Xiangyang Liu, Ning Xu, Chaoshun Liu, Wei Gao

Proceedings Volume 9975, 99750M (2016) https://doi.org/10.1117/12.2235838

KEYWORDS: Remote sensing, Satellite imaging, Earth observing sensors, Satellites, Image segmentation, Accuracy assessment, Analytical research, Internet, Image classification, Error analysis

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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

Monitoring the changes of water storage over the Huang-huai-hai plain based on the GRACE satellite

Zenghui Kan, Chaoshun Liu, Fengxue Qiao, Wei Gao, Maosi Chen

Proceedings Volume 9975, 99750G (2016) https://doi.org/10.1117/12.2237333

KEYWORDS: Satellites, Data storage, Soil science, Thermal weapon sites, Data modeling, Climatology, Data centers, Atmospheric modeling, Spherical lenses, Remote sensing

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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

Nonlinear vegetation phenology shifts over northern China during 1982-2006

Youzhi An, Wenbo Liu, Wei Gao, Zhiqiang Gao, Chaoshun Liu, Runhe Shi

Proceedings Volume 9975, 99750N (2016) https://doi.org/10.1117/12.2235858

KEYWORDS: Vegetation, Temperature metrology, Climate change, Carbon, Climatology, Vegetation, Climate change, Nonlinear response, Data modeling, Remote sensing, Spatial resolution, Temporal resolution

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Proceedings Article | 19 September 2016 Paper

Error analysis on Green Tide monitoring using MODIS data in the Yellow Sea based on GF-1 WFV data

Fuxiang Xu, Zhiqiang Gao, Jicai Ning, Xiangyu Zheng, Chaoshun Liu, Wei Gao

Proceedings Volume 9975, 99750P (2016) https://doi.org/10.1117/12.2235908

KEYWORDS: Earth observing sensors, MODIS, Remote sensing, Error analysis, Image resolution, Satellites, Temporal resolution, Spatial resolution, Sensors, Satellite imaging

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Proceedings Article | 19 September 2016 Paper

In-situ calibration of the water vapor channel for multi-filter rotating shadowband radiometer using collocated GPS, AERONET and meteorology data

Maosi Chen, Melina-Maria Zempila, John Davis, Robert King, Wei Gao

Proceedings Volume 9975, 99750E (2016) https://doi.org/10.1117/12.2236572

KEYWORDS: Global Positioning System, Calibration, Radiometry, Aerosols, Meteorology, Channel projecting optics, Transmittance, Atmospheric modeling, Atmospheric optics, Sun

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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

Green tide disaster monitoring system based on multi-source data

Weitao Shang, Zhiqiang Gao, Xiaopeng Jiang, Chaoshun Liu, Wei Gao

Proceedings Volume 9975, 99750O (2016) https://doi.org/10.1117/12.2235897

KEYWORDS: Unmanned aerial vehicles, Remote sensing, Spatial resolution, Data modeling, Control systems, Satellites, Data processing, Imaging systems, Sun, Atmospheric corrections

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SPIE Journal Paper | 25 April 2016 Open Access

Errata: Integrating pan-sharpening and classifier ensemble techniques to map an invasive plant (Spartina alterniflora) in an estuarine wetland using Landsat 8 imagery

Jinquan Ai, Wei Gao, Zhiqiang Gao, Runhe Shi, Chao Zhang, Chaoshun Liu

JARS, Vol. 10, Issue 02, 029901, (April 2016) https://doi.org/10.1117/12.10.1117/1.JRS.10.029901

KEYWORDS: Earth observing sensors, Landsat, Chaos, Information science, Ecology

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SPIE Journal Paper | 7 April 2016

Integrating pan-sharpening and classifier ensemble techniques to map an invasive plant (Spartina alterniflora) in an estuarine wetland using Landsat 8 imagery

Zhiqiang Gao, Jinquan Ai, Wei Gao, Runhe Shi, Chao Zhang, Chaoshun Liu

JARS, Vol. 10, Issue 02, 026001, (April 2016) https://doi.org/10.1117/12.10.1117/1.JRS.10.026001

KEYWORDS: Earth observing sensors, Image fusion, Vegetation, Landsat, Image classification, Data fusion, Image quality, Principal component analysis, Associative arrays, Image analysis

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Proceedings Article | 4 September 2015 Paper

In situ hyperspectral data analysis for canopy chlorophyll content estimation of an invasive species spartina alterniflora based on PROSAIL canopy radiative transfer model

Jinquan Ai, Wei Gao, Runhe Shi, Chao Zhang, Zhibin Sun, Wenhui Chen, Chaoshun Liu, Yuyan Zeng

Proceedings Volume 9610, 961007 (2015) https://doi.org/10.1117/12.2186973

KEYWORDS: Reflectivity, Data modeling, Vegetation, Radiative transfer, Absorption, Data conversion, Performance modeling, Data analysis, Remote sensing, Ecosystems

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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

Study on coastline change in Shandong Province based on geo-information TuPu

Xiangyang Liu, Zhiqiang Gao, Jicai Ning, Wei Gao

Proceedings Volume 9610, 96100Z (2015) https://doi.org/10.1117/12.2186486

KEYWORDS: Remote sensing, Data modeling, Analytical research, Scanners, Coastal modeling, Associative arrays, Visualization, Agriculture, Ecology, Data centers

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Proceedings Article | 4 September 2015 Paper

Two-stage reference channel calibration for collocated UV and VIS Multi-Filter Rotating Shadowband Radiometers

Maosi Chen, John Davis, Zhibin Sun, Wei Gao

Proceedings Volume 9610, 96100L (2015) https://doi.org/10.1117/12.2185500

KEYWORDS: Calibration, Ultraviolet radiation, Aerosols, Clouds, Ozone, Solar radiation, Atmospheric modeling, Radiometry, Radiative transfer, Atmospheric optics

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Proceedings Article | 4 September 2015 Paper

Data fusion of CO2 retrieved from GOSAT and AIRS using regression analysis and fixed rank kriging

Cong Zhou, Runhe Shi, Wei Gao

Proceedings Volume 9610, 96101A (2015) https://doi.org/10.1117/12.2187493

KEYWORDS: Carbon dioxide, Climatology, Carbon monoxide, Data fusion, Analytical research, Satellites, Carbon, Spatial resolution, Remote sensing, Data centers

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Proceedings Article | 4 September 2015 Paper

Retrieval of water and heat flux based on fusion of LANDSAT TM/ETM+ and MODIS data

Jicai Ning, Zhiqiang Gao, Chaoshun Liu, Wei Gao

Proceedings Volume 9610, 96101D (2015) https://doi.org/10.1117/12.2184667

KEYWORDS: MODIS, Remote sensing, Spatial resolution, Vegetation, Heat flux, Thermography, Data modeling, Infrared radiation, Landsat, Earth observing sensors

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Proceedings Article | 4 September 2015 Paper

Effects of bias in solar radiation inputs on ecosystem model performance

Shinichi Asao, Zhibin Sun, Wei Gao

Proceedings Volume 9610, 96100C (2015) https://doi.org/10.1117/12.2188206

KEYWORDS: Solar radiation models, Solar radiation, Ecosystems, Calibration, Performance modeling, Photosynthesis, Data modeling, Atmospheric modeling, Process modeling, Carbon dioxide

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Proceedings Article | 4 September 2015 Paper

Climate change impacts on the U.S. agricultural economy

You Wu, Xin-Zhong Liang, Wei Gao

Proceedings Volume 9610, 96100J (2015) https://doi.org/10.1117/12.2192469

KEYWORDS: Agriculture, Climate change, Climatology, Environmental sensing, Temperature metrology, Data modeling, Analytical research, Ecosystems, Statistical analysis, Manufacturing

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Proceedings Article | 4 September 2015 Paper

Validation of the OMI-TOMS and OMI-DOAS total ozone column data using ground-based observations over China

Mingliang Ma, Runhe Shi, Wei Gao

Proceedings Volume 9610, 961014 (2015) https://doi.org/10.1117/12.2186782

KEYWORDS: Ozone, Satellites, Spectrophotometry, Earth observing sensors, Ultraviolet radiation, Algorithm development, Clouds, Atmospheric modeling, Information science, Remote sensing

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Proceedings Article | 4 September 2015 Paper

Combined UV irradiance from TOMS-OMI satellite and UVMRP ground measurements across the continental U.S.

Zhibin Sun, John Davis, Wei Gao

Proceedings Volume 9610, 961004 (2015) https://doi.org/10.1117/12.2188760

KEYWORDS: Ultraviolet radiation, Satellites, Data fusion, Error analysis, Data conversion, Ozone, Earth observing sensors, Observatories, Visible radiation, Ecosystems

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SPIE Journal Paper | 19 May 2015

Tuning of background error statistics through sensitivity experiments and its impact on typhoon forecast

Yan-An Liu, Hung-Lung Allen Huang, Wei Gao, Agnes Lim, Chaoshun Liu, Runhe Shi

JARS, Vol. 9, Issue 01, 096051, (May 2015) https://doi.org/10.1117/12.10.1117/1.JRS.9.096051

KEYWORDS: Error analysis, Statistical analysis, Humidity, Data modeling, Atmospheric modeling, Systems modeling, Matrices, Statistical modeling, Control systems, Analytical research

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Proceedings Article | 10 October 2014 Paper

Nuclear power plants in China's coastal zone: risk and safety

Qingshui Lu, Zhiqiang Gao, Jicai Ning, Xiaoli Bi, Wei Gao

Proceedings Volume 9221, 92210V (2014) https://doi.org/10.1117/12.2058425

KEYWORDS: Earthquakes, Safety, Floods, Remote sensing, Lutetium, Carbon dioxide, Bismuth, Coastal modeling, Agriculture, Ecology

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Proceedings Article | 8 October 2014 Paper

The responses of vegetation water content (EWT) along a coastal region using remote sensing

Zhiqiang Gao, Tingting Wang, Jicai Ning, Wei Gao

Proceedings Volume 9221, 92210H (2014) https://doi.org/10.1117/12.2058302

KEYWORDS: Vegetation, Remote sensing, Short wave infrared radiation, Heat flux, Infrared radiation, Near infrared, Data modeling, Ecosystems, Reflectivity, Shortwaves

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Proceedings Article | 8 October 2014 Paper

The grain production potential assessment with multiple cropping index (MCI) in China

Zhiqiang Gao, Jicai Ning, Wei Gao

Proceedings Volume 9221, 922116 (2014) https://doi.org/10.1117/12.2058304

KEYWORDS: Remote sensing, Data modeling, Agriculture, Data centers, Environmental sensing, Statistical analysis, Meteorology, Atmospheric modeling, Statistical methods, Information security

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Proceedings Article | 8 October 2014 Paper

The study of the spatio-temporal changes of drought in the Mongolian Plateau in 40 years based on TVDI

Xiaoming Cao, Yiming Feng, Juanle Wang, Zhiqiang Gao, Jicai Ning, Wei Gao

Proceedings Volume 9221, 92210X (2014) https://doi.org/10.1117/12.2059062

KEYWORDS: Soil science, Vegetation, Remote sensing, Data modeling, Ecosystems, MODIS, Forestry, Geographic information systems, Coastal modeling, Systems modeling

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Proceedings Article | 8 October 2014 Paper

A WebGIS-based system for analyzing and visualizing air quality data for Shanghai Municipality

Manyi Wang, Chaoshun Liu, Wei Gao

Proceedings Volume 9221, 922119 (2014) https://doi.org/10.1117/12.2060528

KEYWORDS: Visualization, Databases, Geographic information systems, Visual analytics, Analytical research, Java, Statistical analysis, Data modeling, Spatial analysis, Data storage

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Proceedings Article | 8 October 2014 Paper

Comparison of the Hargreaves-Samani equation and the Priestley-Taylor equation for estimating reference crop evapotranspiration in the North China Plain

Jialin Yang, Chaoshun Liu, Wei Gao

Proceedings Volume 9221, 922118 (2014) https://doi.org/10.1117/12.2060500

KEYWORDS: Climatology, Remote sensing, Meteorology, Humidity, Error analysis, Information science, Ecosystems, Temperature metrology, Radon, Ecology

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Proceedings Article | 8 October 2014 Paper

Spatio-temporal distribution of NDVI and its correlation with climatic factors in Eastern China during 1998-2008

Cong Zhou, Runhe Shi, Chao Zhang, Chaoshun Liu, Wei Gao

Proceedings Volume 9221, 92210G (2014) https://doi.org/10.1117/12.2060768

KEYWORDS: Climatology, Wavelets, Humidity, Vegetation, Meteorology, Wavelet transforms, Environmental sensing, Data centers, Ecosystems, Climate change

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Proceedings Article | 8 October 2014 Paper

Analysis on the balance between supply and demand of cropland in Yantai City of China in 2020

Qiuxian Wang, Zhiqiang Gao, Jicai Ning, Ye Wang, Wei Gao

Proceedings Volume 9221, 922114 (2014) https://doi.org/10.1117/12.2062823

KEYWORDS: Agriculture, Statistical analysis, Mining, Climatology, Analytical research, Ecology, Carbon monoxide, Geography, Remote sensing, Ecosystems

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Proceedings Article | 8 October 2014 Paper

Retrieval of phycocyanin concentration in the eutrophic Taihu Lake

Jing Wang, Runhe Shi, Wei Gao

Proceedings Volume 9221, 92210Z (2014) https://doi.org/10.1117/12.2061208

KEYWORDS: Data modeling, Reflectivity, Remote sensing, Absorption, Solid modeling, Performance modeling, Vegetation, Solids, Mathematical modeling, Signal to noise ratio

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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 | 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

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

The data fusion of aerosol optical thickness using universal kriging and stepwise regression in East China

Long Li, Runhe Shi, Lu Zhang, Jie Zhang, Wei Gao

Proceedings Volume 9221, 922112 (2014) https://doi.org/10.1117/12.2061764

KEYWORDS: MODIS, Aerosols, Meteorology, Satellites, Data fusion, Atmospheric optics, Remote sensing, Solar radiation models, Atmospheric particles, Atmospheric modeling

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Proceedings Article | 8 October 2014 Paper

Retrieval of aerosol optical depth over the Yangtze River Delta with HJ-1 data

Lu Zhang, Runhe Shi, Yongming Xu, Long Li, Wei Gao

Proceedings Volume 9221, 92210Y (2014) https://doi.org/10.1117/12.2061169

KEYWORDS: MODIS, Reflectivity, Aerosols, Satellites, Charge-coupled devices, Clouds, Atmospheric optics, Spatial resolution, Remote sensing, Atmospheric particles

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Proceedings Article | 2 October 2014 Paper

Spatial discretization of distributed hydrological response units for SWAT

Jicai Ning, Zhiqiang Gao, Wenjiang Zhang, Runhe Shi, Wei Gao

Proceedings Volume 9221, 922105 (2014) https://doi.org/10.1117/12.2058303

KEYWORDS: Calibration, Process modeling, Agriculture, Soil science, Mathematical modeling, Soil contamination, Databases, Spatial analysis, Surface properties, Climatology

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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 | 2 October 2014 Paper

Assimilation of soil moisture using Ensemble Kalman Filter

Juan Du, Chaoshun Liu, Wei Gao

Proceedings Volume 9221, 92210N (2014) https://doi.org/10.1117/12.2058852

KEYWORDS: Soil science, Heat flux, Data modeling, Filtering (signal processing), Remote sensing, Solar radiation models, Algorithm development, Atmospheric modeling, Process modeling, Information science

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SPIE Journal Paper | 6 January 2014 Open Access

Sensitivity studies for atmospheric carbon dioxide retrieval from atmospheric infrared sounder observations

Mandi Zhou, Jiong Shu, Ci Song, Wei Gao

JARS, Vol. 8, Issue 01, 083697, (January 2014) https://doi.org/10.1117/12.10.1117/1.JRS.8.083697

KEYWORDS: Atmospheric sensing, Atmospheric modeling, Carbon monoxide, Infrared radiation, Temperature metrology, Infrared sensors, Satellites, Spectral resolution, Absorption, Troposphere

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