Now showing items 1-3 of 3
Exploring Hyperspectral and Very High Spatial Resolution Imagery in Vegetation Characterization
This dissertation describes three contributions in the characterization of vegetation canopies using remote sensing data, with a focus on hyperspectral and very high spatial resolution imagery. The new and innovative methods ...
Single Tree Detection from Airborne Laser Scanning Data: A Stochastic Approach
Characterizing and monitoring forests are of great scientific and managerial interests, such as understanding the global carbon circle, biodiversity conservation and management of natural resources. As an alternative or ...
Tree Genera Classification by Ensemble Classification of Small-Footprint Airborne LiDAR
Tree genera information is useful in environmental applications such as forest management, forestry, urban planning, and the maintenance of utility transmission line infrastructure. The ability of small foot print airborne ...