Spatial Sciences Laboratory

Publications

Zhao, K. and S. C. Popescu, 2009. Lidar-based mapping of leaf area index and its use for validating GLOBCARBON satellite LAI product in a temperate forest of the southern USA. Remote Sensing of Environment 113 (8): 1628–1645.Download
Zhao, K., S. C. Popescu, & R.F. Nelson, 2009. Lidar remote sensing of forest biomass: A scale-invariant estimation approach using airborne lasers. Remote Sensing of Environment 113(1): 182-196.Download
Mutlu, M., S.C. Popescu, and K. Zhao, 2008. Sensitivity analysis of fire behavior modeling with lidar-derived surface fuel maps. Forest Ecology and Management 256: 289-294.Download
Zhao, K., S. C. Popescu, & X. Zhang, 2008. Bayesian Learning with Gaussian Processes for Supervised Classification of Hyperspectral Data, Photogrammetric Engineering & Remote Sensing 74(10): 1223-1234.Download
Popescu, S.C. and K. Zhao, 2008. A voxel-based lidar method for assessing crown base height. Remote Sensing of Environment 112(3): 767-781.Download
Mutlu, M., S.C. Popescu, C. Stripling, and T. Spencer, 2008. Assessing surface fuel models using LiDAR and multispectral data fusion. Remote Sensing of Environment 112(1): 274-285.Download
Zhao, K., S. C. Popescu, & R. F. Nelson, 2008. Quantifying the Uncertainty for the Line-intercept Sampling Estimators of Canopy Cover, Journal of Forest Planning (Japanese Society of Forest Planning) 13: 195-205.
Zhao K. and Popescu, S.C. 2007. Hierarchical watershed segmentation of canopy height model for multi-scale forest inventory. International Archives of Photogrammetry and Remote Sensing (IAPRS) Volume XXXVI, Part 3 / W52, 2007: 436-441.Download
Popescu, S.C., 2007. Estimating biomass of individual pine trees using airborne lidar. Biomass & Bioenergy 31(9): 646-655.Download
Hopkinson, C., S.C. Popescu, M. Flood, and R. Maher, 2007. A study on the need for LiDAR training. Photogrammetric Engineering & Remote Sensing 73(5): 537-547.Download
Popescu , S.C., R.H. Wynne and J.A. Scrivani, 2004. Fusion of small-footprint lidar and multispectral data to estimate plot-level volume and biomass in deciduous and pine forests in Virginia, U.S.A. Forest Science 50(4): pp. 551-565.Download
Popescu, S.C. and R.H. Wynne, 2004. Seeing the trees in the forest: using lidar and multispectral data fusion with local filtering and variable window size for estimating tree height. Photogrammetric Engineering & Remote Sensing 70(5): 589-604.Download
Popescu, S.C., R.H. Wynne, and R.E. Nelson, 2003. Measuring individual tree crown diameter with lidar and assessing its influence on estimating forest volume and biomass. Canadian Journal of Remote Sensing 29(5): 564-577.Download
Oderwald, R.G. and S.C. Popescu, 2003. A simplified method of predicting percent volume in log portions. Southern Journal of Applied Forestry 27(3): 149-152.Download
Popescu, S.C., R.H. Wynne and R.E. Nelson, 2002. Estimating plot-level tree heights with LiDAR: local filtering with a canopy-height based variable window. Computers and Electronics in Agriculture 37(1-3):71-95.Download
Texas A&M System - State of Texas - Texas Homeland Security - Statewide Search - State Link Policy
Risk & Misconduct Hotline - Accessibility Policy - Compact with Texans - Privacy Statement