Vegetation characterization for precision forestry and for environment protection

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Accurate characterization of the spatial distribution and dynamic of vegetation canopies is very important for sustainable management of forest resources and protection of our environment. Advances in remote sensing technologies provide us unbelievable high-quality and high spatial resolution data, which makes it feasible to characterize vegetation canopies at individual stem levels and for tactical management. However, new remote sensing technologies also pose great challenges in developing advanced algorithms for their data processing and analysis. In this study, algorithms and software tools will be developed to accurately identify individual tree species based on the structural, spatial and spectral information derived from lidar data and optical imagery. Innovative technologies and algorithms will also be developed to quantify vegetation growth and health.