Truckee Meadows slope-shade progress

7-21-2010_12-07-59_pm

I was able to create a gridded dataset from 2-ft contour data with some simple routines in GlobalMapper. Here is the first cut...note that it does contain some weird artifacts related to the irregular extent of the data. Now, we are working on carrying out the steps in ArcGIS. Having no success exporting the grid from GlobalMapper which is one of the only problems I have encountered with that otherwise excellent program. I suspect that I have to read the manual more thoroughly.

Contour Exploitation...Reno / Truckee River map

I spent much of the day looking at an awesome morass of detailed contours of the Truckee Meadows...which is what we call the Pleistocene 'outwash' terraces and Holocene floodplain / swamp that hosts the Reno-Sparks metro area. I started tweaking the contour color ramps and contour thickness and accidentally achieved some interesting visualizations that reveal some interesting fluvial details. Several of us at NBMG are currently revising the geologic maps in the local area. Lots of data, but lots of development.

On the advice of a colleague, I will try to convert the data to a grid and look further into the details tomorrow. Right...no LiDAR (yet).

(download)

The Bill Williams River Map...Planet Valley, 1953-2005

My perpetual map of the Bill Williams River, AZ is squeaking toward a state of preliminarity. The story of the BWR is a fascinating one. It is a large, sediment laden river with a fantastically skewed flood regime (i.e. flood peaks that are orders of magnitude larger than average flows) that has been bottled up by a dam with a tiny peak-release capacity since 1968. Thus, its potentially huge, but short-lived flood peaks (spikes of 50 to 150+k cfs) have been degraded to long-lived, low discharge events (bricks with prolonged peaks of no more than 7k cfs)  that have lots of time to impart change to the channel. Since the dam traps easily more than 95 percent of the river's load, lots of interesting things happen. 

The mapping that I have been working on is an attempt to document the morphological change in the river corridor over the last 60 years or so with a nice set of orthorectified aerial images from each decade. Lots of cool things can be done with the images, mapping, and GIS. So far, I have only mapped each generation and 'cookie-cut' them into each subsequent generation to illustrate the evolving mosaic of alluvial deposits. This is made quite simple with the analysis\overlay\erase and data\general\merge functions in ArcGIS. A much more elaborate scheme using the analysis\overlay\symmetrical difference tool is also in the works. Instead of the straight cookie-cutter approach, the sym difference approach essentially piles each layer on the other and then cookie-cuts it, creating a sort of virtual stratigraphy that documents what features have changed to what features (or have remained the same) over the time series. 
(download)
In any case, the series of images above provides some visual insight into how a dynamic fluvial system evolves and creates the complex mosaic of deposits and surfaces that you see at any given time. In this case, the final map is the net result of only 5 decades of activity. Ahh...surficial geology...so simple, right? Soon the maps will have legends, etc. Just wanted to show some real progress. The image below shows how individual surfaces from each generation remain out there today in an intricate array.

7-14-2010_5-11-33_pm

LiDAR-derived contours are useful, too.

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?
2-m Contours were generated in GlobalMapper and exported as shapefile to view in Arc.
Note, Ian Madin (at DOGAMI) gave me the tip on contours especially as they relate to resolving fan features. He was right...it works!

Posted via email from Fresh Geologic Froth