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Di Yang

Di Yang

Assistant Professor | WYGISC

Room 329, Agriculture C

Laramie, WY
Phone: (307) 766-2744
Email: dyang1@uwyo.edu
Curriculum Vitae


Education

  • Ph.D., University of Florida, Geography

  • M.S., Texas A&M University – Kingsville, Environmental Engineering

  • BS, Liaoning University of Petroleum and Chemical Technology, Environmental Science

 

Other Credentials

  • Tropical Conservation & Development Certificate, University of Florida


Professional Summary

Dr. Di Yang is an Assistant Professor at WyGISC. Di received her Ph.D. in Geography from the University of Florida in 2019. She is a geographer and geospatial data scientist with expertise in geospatial informatics, applied remote sensing, volunteered geographic information (VGI), and macrosystem ecology. Her research interest lies in the development of advanced remote sensing techniques through digital image processing and geovisualization applications, specifically in coupled human-environment interactions and citizen sciences. She is also committed to developing and sharing expertise in processing and analyzing large ecological and remote sensing databases by using cutting-edge tools (e.g., Google Earth Engine, Microsoft Azure, and Web-GIS) to benefit conservation, resource management, landowners, and policymakers.


Professional Affiliations

  • American Assoc. of Geographers

  • American Geophysical Union

  • American Academy of Environmental Engineers & Scientists

  • Institute of Electrical and Electronics Engineers

  • International Assoc. For Landscape Ecology – North America


Current Courses Taught

  • GIST 5200: Geospatial Visualization

  • GIST 5220: Spatial Modeling and Data Analysis

  • GIST 5350: Enterprise GIS Systems


Research Interests

  • Remote sensing applications on human-environment interactions

  • Geospatial Analytics

  • Digital image processing

  • Machine learning and GeoAI

  • Citizen science

  • Cloud-based big data analysis and management

  • Land change science


Representative Recent / Ongoing Projects

  • NEON (National Ecological Observatory Network) macrosystems biodiversity

  • Geospatial analytics on Volunteered Geographic Information (VGI) and citizen science

  • Large-scale land-use, and urban-wilderness interface mapping

  • Invasive species patterns under different climate change scenarios

  • Geospatial data literacy


Representative Publications

  • Nagy, C, Balch, J, Bissell, E, Cattau, M, Glenn, N, Halpern, B, Ilangakoon, N, Johnson, B, Joseph, M, Marconi, S, Riordan, C, Sanovia, J, Swetnam, T, Travis, W, Wasser, L, Zarnetske, P, & Yang D. (n.d.). Harnessing the NEON Data Revolution to Advance Open Environmental Science with a Diverse and Data-Capable Community. Ecosphere. 12(12), e03833.

  • Yang, A., Yang, J., Yang, D., Xu, R., He, Y., Qiu, H. Human Mobility to Open Space and Public Parks under COVID19 Pandemic and Wildfire Seasons in Western and Central United States. GeoHealth. 2021:e2021GH000494.

  • Kitzes, J, Blake, R, Bombaci, S, Chapman, M, Durán, S, Huang, T, Joseph, M, Lapp, S, Marconi, S, Oestreich, W, Rhinehart, T, Schweiger, A, Song, Y, Surasinghe, T, Yang, D, Yule, KM. Expanding NEON biodiversity surveys with new instrumentation and machine learning approaches. Ecosphere. In press.

  • Yang, D., Yang, A., Yang, J., Xu, R., & Qiu, H. (2021). Unprecedented migratory bird die–off: A citizen–based analysis on the spatiotemporal patterns of mass mortality events in the western United States. GeoHealth, 5(4), e2021GH000395.

  • Yang, D., & Fu, C. S. (2021). Mapping regional forest management units: a road-based framework in Southeastern Coastal Plain and Piedmont. Forest Ecosystems, 8(1), 1-17.

  • He, Y., Xu, R., Prior, S. A., Yang, D., Yang, A., & Chen, J. (2021). Satellite-detected ammonia changes in the United States: natural or anthropogenic impacts. Science of The Total Environment, 147899.

  • Merz L, Yang D, Hull V. A Metacoupling Approach to Watershed Management: The Case of an Irrigation Project in the Transnational Limpopo River Watershed. Sustainability. 2020, 12(5):1879. DOI: 10.3390/su12051879.

  • Herrero H, Waylen P, Southworth J, Khatami R, Yang D, Child B. A Healthy Park Needs Healthy Vegetation: The Story of Gorongosa National Park in the 21st Century. Remote Sensing. 2020, 12(3):476. DOI: 10.3390/rs12030476.

  • Yang D, Wan H, Huang TK, Liu J. The Role of Citizen Science in Conservation Under the Framework of Telecoupling. Sustainability. 2019, 11; 1108. DOI: 10.3390/su11041108.

  • Kapsar K, Hovis C, Silva R, Buchholtz E, Carlson A, Dou Y, Du Y, Furumo P, Li Y, Torres A, Yang D, Wan H, Zaehringer J, Liu J. Telecoupling Research: The First Five Years. Sustainability. 2019, 11(4): 1033. DOI: 10.3390/su11041033.

  • Yang D. Mapping Regional Landscape by Using OpenStreetMap (OSM): A Case Study to Understand Forest Patterns in Maya Zone, Mexico. Volunteered Geographic Information and the Future of Geospatial Data, February 2017, 138-157; IGI-Global., ISBN: 9781522524465, DOI:10.4018/978-1-5225-2446-5.

  • Yang D, Yang A, Qiu H, Zhou Y, Herrero H, Fu C-S, Yu Q, Tang J. A Citizen-Contributed GIS Approach for Evaluating the Impacts of Land Use on Hurricane-Harvey-Induced Flooding in Houston Area. Land. 2019; 8(2):25. DOI: 10.3390/land8020025.

  • Yang D, Fu C, Smith A, Yu Q. Open Land-Use Map: A Regional Land-Use Mapping Strategy for Incorporating OpenStreetMap with Earth Observations. Geo-Spatial Information Science. 20(3): 269-281, 2017. DOI: 10.1080/10095020.2017.1371385.

  • Marsik M, Staub CG, Kleindl WJ, Hall J, Fu C, Yang D, Stevens FR, Binford MW. Regional-scale management maps for forested areas of the Southeastern United States and the US Pacific Northwest. Nature Scientific Data. 2018 Aug 28; 5:180165. DOI:10.1038/sdata.2018.1651.

  • Yu Q, Jiang Q, Yang D, Yue D et al. Incorporating Temporal and Spatial Variations of Groundwater into Constructing Water-based Ecological Network: A Case Study in Deng Kou County. Water, 2017, 9(11): 864. DOI: 10.3390/w9110864.

  • Cao G, Chu Y, Yang D, Southworth J. A New Different Image Creation Methods Based on Deep Neural Networks for Change Detection. International Journal of Remote Sensing. 38(23): 7161-7175, 2017. DOI: 10.1080/01431161.2017.1371861.


Personal Website

Geospatial Digital Informatics Lab

ORCID ID: 0000-0002-4010-6163

Yang’s Google Scholar Page

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Yang’s Researcher ID Page (ISI Web of Science)

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