Sure, I have gone on and on about the amazing visualizations you can get with some tweaking of LiDAR data; however, it turns out that a pretty basic representation is also quite useful...contours. Yes, contours. Sometimes smaller scale features remain somewhat ambiguous in hillshades or slopeshades, but high-res, short interval contours from the LiDAR data can eliminate most of the ambiguity. In this case, it is a tiny area that I have struggled with on the Owyhee River. Here, a large landslide entered from the north, shoved the river channel to the south, and the river eventually worked its way back to the north to some extent. The array of surficial deposits in the void that comprises the right hand side of the image south of the river record this sequence of events as well as subsequent sedimentation by tributary fans. The contours really highlight the fans, and in conjunction with discernible drainage patterns evident in the LiDAR, it is clear what is fan and what is river, right?
I created this lake by generating a contour from the LiDAR dataset at an elevation of 1046 m. GlobalMapper does this in about 1.5 minutes. Then, exported the vector as a shapefile, cut out the parts of the line that occur downstream from the dam, stitch the remaining loose ends, build a poly from the line and there it is.
The Department of Geological Sciences at SDSU is doing a major service for the geological community by providing some excellent geology-themed kml files. The word needs to spread.Go to their site and look for your favorite topic. Who couldn't like this stuff?
http://www.geology.sdsu.edu/localgeology/getour.html
There are an array of useful geology images in addtion to some other, practical datasets. For example, the link below is to a Google Earth file showing the extent, name, and index number of every 7.5 topographic quad in the US. It can be bulky if you leave all of the data turned on, but is useful nonetheless.
http://www.geology.sdsu.edu/localgeology/gekmz/maps_overlays/drg_dem_index/24k.kmz