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LiDAR Data Processing

Hydrologic and Topographic Enforcement

Hydrologic connectivity of light detection and ranging (lidar)-derived elevation data is critical for coastal hydrologic modeling applications. However, unless hydrologically-enforced, raised structures (i.e. bridges, roads overlaying culverts) can block overland flow to coastal waters. Because highly detailed lidar-derived elevation surfaces include features such as bridge decks and road fill overlying culverts, artificially pooled depressions that form upstream of drainage structures impede down slope flow. Hydrologic-enforcement enables hydrologic models to simulate flow under bridges and through culverts by modifying the elevations of artificial impediments.

Hydrologically-enforced lidar-derived elevation data are an essential base layer for complex modeling of surface water flow. Hydrologic-enforcement of topo-bathymetric surfaces are also employed to achieve hydrologic connectivity. We developed an innovative and fully automatic workflow for hydrologic and topographic enforcement.

Automatic Building Footprint Extraction from Aerial LiDAR

Building footprint extraction from aerial LiDAR point clouds is of paramount importance for many applications such as urban scene modeling, cadastral mapping, 3D visualization and generalization, building abstraction and outdoor navigation. In urban reconstruction, the accuracy of the 3D building models heavily relies on the building footprint extracted during the initial stages of the pipeline. We developed an automatic building footprint extraction method from aerial LiDAR point clouds and emphasize on creating light-weight, regular and topologically correct contours, which approximate the real building footprints as much as possible.

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Automatic 3D Building Modeling from Aerial LiDAR Point Clouds

 

3D models of buildings are of great interest to many applications such as 3D animation, indoor or outdoor navigation, building energy modeling, disaster simulation and evaluation of the built environment, among others. We developed a novel topology-aware building model reconstruction method for construction of 2.5D building rooftop models from aerial LiDAR point clouds.

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