Dr. Di Yang is an assistant professor at the Wyoming Geographic Information Center (WyGISC), University of Wyoming. She 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 main research interest is 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 with respect to the processing and analysis of large ecological and remote sensing databases using cutting-edge tools (e.g., Google Earth Engine, Microsoft Azure, and Web-GIS) to benefit conservation, resource management, landowners, and policymakers.
Research Keywords & Expertise
Biodiversity
Citizen Science
GIS applications
LiDAR
Mexico
Remote Sensing
hyperspectral remote s...
Volunteered Geographic...
OpenStreetMap
vegetation dynamics
Fingerprints
41%
Remote Sensing
15%
Citizen Science
10%
Biodiversity
10%
OpenStreetMap
5%
Mexico
5%
Volunteered Geographic Information,
Short Biography
Dr. Di Yang is an assistant professor at the Wyoming Geographic Information Center (WyGISC), University of Wyoming. She 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 main research interest is 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 with respect to the processing and analysis of large ecological and remote sensing databases using cutting-edge tools (e.g., Google Earth Engine, Microsoft Azure, and Web-GIS) to benefit conservation, resource management, landowners, and policymakers.