Yi Qi is a postdoctoral researcher in the CSTARS lab. His research interests broadly align with developing remote sensing and GIS methodology to understand vegetation dynamics and interaction with climatic change and ecological disturbance. Current research focus on remote sensing of live fuel moisture content, imaging spectroscopy of plant biochemistry and carbon dioxide, wildfire danger and fire ecology. He received a Ph.D. degree in Geography in 2014 from University of Utah, Salt Lake City, UT.
1. Yi Q., Dennison P. E., Jolly M.W., Kropp R.C., Brewer S.C. (2014) Spectroscopic Analysis of Seasonal Changes in Live Fuel Moisture Content and Leaf Dry Mass. Remote Sensing of Environment, 150: 198-206.
2. Dennison P.E., A.K. Thorpe, E.R. Pardyjak, D.A. Roberts, Y. Qi, R.O. Green, E.S. Bradley, and C.C. Funk. (2013).High spatial resolution mapping of elevated atmospheric carbon dioxide using airborne imaging spectroscopy: Radiative transfer modeling and power plant plume detection. Remote Sensing of Environment 139: 116-129.
3. Yebra, M.; P. E. Dennison; E. Chuvieco; D. Riaño; P. Zylstra; E. R. Hunt; F. M. Danson; Y. Qi and S. Jurdao. (2013). A global review of remote sensing of live fuel moisture content for fire danger assessment: Moving towards operational products. Remote Sensing of Environment 136: 455-468.
4. Yi Q., Dennison P. E., Spencer J., Riaño, D. (2012). Monitoring live fuel moisture using soil moisture and remote sensing proxies. Fire Ecology 8 (3): 71-87.
5. Wei L. and Y Qi..(2009). An enhanced two-step floating catchment area (E2SFCA) method for measuring spatial accessibility to primary care physicians. Health & Place 15:1100-1107.