Dr. Sorin Popescu's academic interests focus on the application of remote sensing, in particular, and spatial sciences, in general, in natural resources assessment, monitoring, and management. His research interests include remote sensing applications in natural resources and forest sciences, assessment of forest fuels, forest volume and biomass, land use and land cover change, forest carbon sources and sinks, and global environmental change. He has developed various algorithms and software tools for multisensor data fusion and for processing LIDAR data for estimating forest biophysical parameters, such as stand density, tree height, crown diameter, volume, and biomass.
- Klockow, P. A., Putman, E. B., Vogel, J. G., Moore, G. W., Edgar, C. B., & Popescu, S. C. (2020). Allometry and structural volume change of standing dead southern pine trees using non-destructive terrestrial LiDAR. REMOTE SENSING OF ENVIRONMENT. 241, 111729-111729.
- Tolleson, D. R., Rhodes, E. C., Malambo, L., Angerer, J. P., Redden, R. R., Treadwell, M. L., & Popescu, S. C. (2019). Old School and High Tech: A Comparison of Methods to Quantify Ashe Juniper Biomass as Fuel or Forage. Rangelands. 41(4), 159-168.
- Ku, N. W., & Popescu, S. C. (2019). A comparison of multiple methods for mapping local-scale mesquite tree aboveground biomass with remotely sensed data. Biomass and Bioenergy. 122, 270-279.
- Malambo, L., Popescu, S. C., Horne, D. W., Pugh, N. A., & Rooney, W. L. (2019). Automated detection and measurement of individual sorghum panicles using density-based clustering of terrestrial lidar data. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING. 149, 1-13.
- Narine, L. L., Popescu, S., Neuenschwander, A., Zhou, T., Srinivasan, S., & Harbeck, K. (2019). Estimating aboveground biomass and forest canopy cover with simulated ICESat-2 data. REMOTE SENSING OF ENVIRONMENT. 224, 1-11.
- Rajan, N., Shafian, S., Cope, D., Bagavathiannan, M., Malambo, L., Popescu, S., & Rooney, B. (2017). Field research applications of UAS.
- Popescu, S. C. (2010). Bringing all lidar data together: Investigations of spatially coincident terrestrial, airborne, and satellite lidar data for deriving vegetation structure metrics. 2005 Conference on Lasers & Electro-Optics (CLEO), Vols 1-3.
- Mutlu, M., & Popescu, S. (2006). Assessing forest fuel models using LIDAR remote sensing. 2, 962-966.
- Rutledge, A. M., & Popescu, S. C. (2006). Using lidar in determining forest canopy parameters. 3, 1233-1237.
- Hopkinson, C., Popescu, S., Flood, M., & Maher, R. (2005). A study on the need for LiDAR training in academia and industry. 85.
- Research Opportunities in Space and Earth Science 2011 awarded by NASA-Stennis Space Center 2012 - 2016
- Putman, Eric Bryan (2017-08). Quantifying Standing Dead Tree Volume and Structural Loss with Voxelized Terrestrial Lidar Data. (Master's Thesis)
- Berg, Matthew (2014-05). Integrating Historical Imagery and Sediment Radioisotopes to Shed Light on Long-Term Rangeland Dynamics and Ecosystem Services at the Watershed Scale. (Doctoral Dissertation)
- Kulawardhana, Ranjani W (2013-12). Quantification of Salt Marsh Carbon Stocks: Integration of Remote Sensing Data and Techniques with Field Measurements. (Doctoral Dissertation)
- Srinivasan, Shruthi (2013-12). Multi-temporal Terrestrial Lidar for Estimating Individual Tree Dimensions and Biomass Change. (Master's Thesis)
- Sheridan, Ryan D. (2011-05). Modeling Plot-Level Biomass and Volume Using Airborne and Terrestrial Lidar Measurements. (Master's Thesis)