Research Interests

My main research interests are in the field of geospatial sciences, remote sensing, and data science. I employ spatial concepts through a variety of tools including spatiotemporal analytics, digital image processing, machine learning, geographic information system (GIS), statistics, and natural language processing to study desertification, geothermal resources, urban heat islands, landscape dynamics, and human-environment systems.

Teaching Areas

GEOG 201 - World Regions

GEOG 418 - Geographic Information Systems (GIS)

GEOG 425 - Raster Based Geographic Information Systems (GIS)

GEOG 525 - Geospatial Big Data Handling Theory and Methods

Certificates

SAS Certified Base Programmer

SAS Certified Advanced Programmer

2020-2022: Senior Research Associate, National Strategic Planning and Analysis Research Center (NSPARC), Mississippi State University

2017-2020: Postdoctoral Research Associate, National Strategic Planning and Analysis Research Center (NSPARC), Mississippi State University

2013-2017: Ph.D. (Earth and Atmospheric Sciences), Mississippi State University

2023 Illinois Geographical Society Research Grant Award

2017 Second place in the Arts and Humanities Oral Presentations category at the Graduate Research Symposium

2016 Second place in the Arts and Humanities Oral Presentations category at the Graduate Research Symposium

2015 Second place in the Arts and Humanities Oral Presentations category at the Graduate Research Symposium

2012 Best Student Paper Award (Third Prize) of the Second International Workshop on Earth Observation and Remote Sensing Applications (EORSA)

Li, T. 2023. Modeling the local geography of country music concerts in U.S. urban areas: insights from big data analysis of live music events. Urban Informatics

Li, T. 2022. A Spatiotemporal Analysis of Rock Concerts Associated with Demographics and Leisure and Hospitality Employment. Journal of Geovisualization and Spatial Analysis, 6(1), 1-18

Li, T. 2022. Exploring spatial variations of US rock music concerts in relation to population demographics and leisure and hospitality industry. Annals of GIS 1-14

Li, T. & Meng, Qingmin. & Du, Qian., 2020. Application of Random Effects to Explore the Gulf of Mexico Coastal Forest Dynamics in Relation to Meteorological Factors. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , 13, 5526-5535.

Li, T. & Meng, Q., 2020. Forest dynamics in relation to meteorology and soil in the Gulf Coast of Mexico. Science of The Total Environment , 702, 134913.

Li, T. & Meng, Q., 2018. A mixture emissivity analysis method for urban land surface temperature retrieval from Landsat 8 data. Landscape and Urban Planning , 179, 63-71.

Li, T. & Meng, Q., 2017. Forest dynamics to precipitation and temperature in the Gulf of Mexico coastal region. International journal of biometeorology, 61(5), 869-879.

Li, T. & Meng, Q., 2015. Development of an emissivity mixture technique to assess spatial thermal pattern in New Orleans. Proceedings of the 10th Southern Forestry and Natural Resource Management GIS Conference, Athens, GA USA.

Pan, J. & Li, T., 2013. Extracting desertification from Landsat TM imagery based on spectral mixture analysis and Albedo-Vegetation feature space. Natural hazards, 68(2), 915-927.

Li, T., Lv, G. & Wen, Y., 2012. Application of land surface temperature inversion based on emissivity mixture analysis at sub-pixel scale in geothermal exploration. In Earth Observation and Remote Sensing Applications (EORSA), 2012 Second International Workshop. 139-143. IEEE.

Pan, J. & Li, T., 2009. Analysis of Spatial Pattern and Influencing Factors on Population Mobility in Gansu Province Based on ESDA. In Statistics & Information Forum. Vol. 9, p. 012.

Soundtrack Demo

Research Demo

Rock gigs (2010-2019)