Information and discussion related to high-resolution lidar topography for the Earth sciences
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.
This well done ~10 minute video from Oregon Public Broadcasting's Field Guide does an excellent job of highlighting the various earth science applications for the lidar data being collected by the Oregon Department of Geology and Mineral Industries' (DOGAMI)
The USGS has released a beautiful poster of Mount St. Helens created from high-resolution LiDAR topography data. The poster is USGS General Information Product 116 and is freely available for download in PDF format at either 17x22 inches or 32x42 inches.
Via Paolo Tarolli, an announcement about a session at this year's European Geoscience Union Meeting in Vienna. The session emphasizes analysis techniques for high-resolution digital elevation models (DEMs) of Earth, seafloor or planetary landscapes:
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: