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Di Yang

Di Yang


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Assistant Professor | WYGISC

Office: Room 329, Agriculture C
Phone: (307) 766-2744
Email: dyang1@uwyo.edu

Personal website: http://dr-diyang.com/

Geospatial Digital Informatics Lab: http://www.uwyo.edu/geoinfo/index.html

Yang CV [PDF] - updated September 2020

Yang  Bio (short) -  updated September 2020

ORCID ID: 0000-0002-4010-6163

Yang’s Google Scholar Page

Follow Yang on Research Gate

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

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Di Yang

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 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

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


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