Academic Credentials
  • Ph.D., Geography & Enviro Sci & Poli, University of South Florida, 2018
  • M.S., Cartography & Geographic Information System, Beijing Normal University, 2013
  • B.S., Geographic Information System, Lanzhou University, 2010
Academic Appointments
  • Research Assistant Professor, New Mexico State University, 2021 – Present
Professional Honors
  • Panel Reviewer for NASA and NSF, 2021-2022
  • First place in Student Paper Competition, American Association of Geographers, 2017
  • Outstanding Graduate of Lanzhou University (the highest honor), 2010
Professional Affiliations
  • American Geophysical Union
  • American Associations of Geographers
  • Ecological Society of America
  • Sino-Ecologists Association Overseas

Dr. Qiuyan Yu specializes in monitoring ecosystem services and natural resources by harnessing remote sensing, spatial, and data analysis. Remote sensing provides the ability to gather contemporary and historic site-specific and large-scale environmental data using spaceborne, airborne, and unmanned aerial platforms to provide clients with previously unavailable data-based insights. 

Dr. Yu has extensive experience in processing and handling datasets from various earth observation systems (e.g. Landsat, MODIS, Sentinel, ICESat-2, GEDI, Worldview, NAIP, airborne LiDAR, and unmanned aerial vehicle) acquired by different technologies (passive and active imaging).

Her experience includes significant ecosystems such as forest, savanna, agriculture, wetland, and aquaculture. Dr. Yu leverages the combination of remote sensing and geospatial analysis in monitoring and assessing natural hazards and risks, for example monitoring the spatial extent and temporal pattern of drought, flooding, fire, and hurricane and their impacts on human society (e.g. houses and infrastructure) and natural resources (e.g. forest).

Integrating her knowledge and expertise in data science and modeling, Qiuyan also promotes public health by conducting statistical analysis and using machine learning models to untangle the environmental and socioeconomical determinants of diseases and under-five mortality rate.