OT Blog

Information and discussion related to high-resolution lidar topography for the Earth sciences

Tools for Lidar Point Cloud Filtering / Classification

A relatively common question from OpenTopography users is how they can filter or classify a lidar dataset that was delivered by the data provider without ground (bare earth) returns differentiated from vegetation returns. The B4 lidar dataset, which covers the southern San Andreas and San Jacinto faults is a good example of a dataset where the lack of classification can be problematic for users, especially those working at higher elevations where vegetation can be dense.

NOAA-Funded Project Mapping Offshore San Andreas Fault

A NOAA expedition that concluded this past Sunday focused on mapping the offshore extent of the San Andreas fault at high-resolution. Using sonar mapping and other imaging and geophysical technologies, the NOAA-funded group, led by Chris Goldfinger from Oregon State University, is building a 3D model of the fault that they hope will reveal information about earthquake behavior as well as the role of the fault in undersea life: