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Ye Tian

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Contact info

Office:
Geography-Geology Building, Room 31E
Phone Number:
Research Interests:

GIScience, geospatial modeling, air pollution, and environmental justice. I applied machine learning, urban morphology theory, air quality modeling, and geovisualization techniques to understand the human-environment interaction systems, such as human mobility patterns, and spatiotemporal disparities of individual exposure to air pollutants.

Other Affiliations:
CV:
Ye Tian_CV.pdf (485.87 KB)
Education:

Ph.D. University of Georgia

MS. Chinese Academy of Science

BS. Northwest A & F University

Dissertation/Thesis Title:
Urban Form and Air Quality: Techniques and Applications
Degree Completion Date:
Grants:

Dissertation Completion Award, University of Georgia ($21,840)                     2021

Graduate Education Advancement Board Fellowship, University of Georgia ($2500)     2021

Summer Doctoral Research Assistantship, University of Georgia ($3,500)            2020

Innovative and Interdisciplinary Research Grant, University of Georgia ($2,000)      2020

Graduate School Research Assistantship Block Grants, University of Georgia ($22,866)   2017-2020

Selected Publications:

Ye Tian*, Xiaobai Yao. (2021). “Urban Form, Traffic Volume, and Air Quality: A Spatiotemporal Stratified Approach”. Environment and Planning B: Urban Analytics and City Science DOI: 10.1177/2399808321995822

Ye Tian, Xiaobai Yao*, Lan Mu, Qinjin Fan, Yijun Liu (2020). “ Integrating meteorological factors for better understanding of the urban form-air quality relationship”. Landscape Ecology. DOI: 10.1007/s10980-020-01094-6

Ye Tian, Xiaobai Yao*, Liding Chen. (2019). “Analysis of Spatial and Seasonal Distributions of Air Pollutants by Incorporating Urban Morphological Characteristics”. Computers, Environment and Urban Systems. DOI: 10.1016/j.compenvurbsys.2019.01.003

Shixin Wang, Ye Tian*, Yi Zhou, Wenliang Liu, Chenxi Lin. (2017). “Building height extraction from multi-polarization SAR imagery based on backscattering model”, Remote Sensing for Land and Resources. DOI: 10.6046/gtzyyg.2017.02.06      

Shixin Wang, Ye Tian*, Yi Zhou, Wenliang Liu, Chenxi Lin. (2016). “Fine-Scale Population Estimation by 3D Reconstruction of Urban Residential Buildings”, Sensors, DOI: 10.3390/s16 101755.                                            

Ye Tian*, Shixin Wang, Yi Zhou, Wenliang Liu, Chenxi Lin. (2016). “Urban building height estimation from Radarsat-2 imagery, a case study in Beijing, China”, Geoscience and Remote Sensing Symposium, 2016 IEEE International, pp.1066-1069. DOI: 10.1109/IGARSS.2016.77 29270 

Chenxi Lin*, Yi Zhou, Shixin Wang, Wenliang Liu, Ye Tian, Yannan Zhang. (2016). “Variogram-based rural build-up area extraction from middle and high resolution SAR images”, Journal of image and Graphics. DOI: 10.11834/jig.20160515

Yi Zhou, Chenxi Lin*, Shixin Wang, Wenliang Liu, Ye Tian. (2016). “Estimation of building density with the integrated use of GF-1 PMS and Radarsat-2 data”, Remote Sensing. DOI: 10.3390/rs8110969

Major Professor

Xiaobai Angela Yao

Professor

Committee Members

Andrew J. Grundstein

Professor

Marguerite Madden

Professor/Director of the Center for Geospatial Research

Lan Mu

Professor

Xiaobai Angela Yao

Professor

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