I'm fairly new to working with lidar and have been assigned the task of creating 2ft contours for the entire county using USGS-provided lidar tiles. Is there a significant difference in the accuracy of contours when simply generating them from a smoothed DEM versus building a terrain dataset, creating a new raster from the terrain and then generating contours from the derived raster? The contours will become one of our data layers for purchase and may be used for anything from architectural design to wetland mitigation, so I would like them to be as accurate as possible in reducing noise and retaining real information. Any help would be greatly appreciated.

  • What GIS software and version are you using to do this? – PolyGeo Nov 26 '13 at 0:56
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    Each derivation of a dataset causes some loss of data. Therefore, you want to minimize the number of steps between your source data and your finished product. In this case especially, when you state you want to retain real information, you definitely would not want to take an existing raster, convert that to a terrain, and then derive a new raster from it. I would research the methods you are considering, and see what you gain by using a terrain and derived raster process vs. generating contours directly from the smoothed DEM. – Get Spatial Nov 26 '13 at 1:40
  • I'm using Arc Map 10.1. Thanks for the info. I've been trying to find information on which method would best suit our purposes. I've come across loads of tutorials on how to execute them but not really anything on which one creates the most accurate contours. I'll keep looking. Thanks again! – Jess Nov 26 '13 at 15:55

Assuming that the "USGS-provided lidar tiles" are DEM rasters (where they already isolated the ground points, incorporated breaklines & hydro flattened), the most "accurate" contours would be derived by not doing any smoothing and just generating contours directly from the original USGS rasters. These contours are going to not look good for cartographic purposes because they'll be noisy and jagged, but they are the most accurate. Any smoothing of the DEM that you do is going to reduce the amount of data and increase the amount of interpolation the program will use to generate contours - making smoother lines that are less accurate.

LIDAR's high ground sample distance is a double edged sword. Lots of points enable good penetration to the ground surface in wooded areas, but cause a lot of noise as well. This high GSD will enable you to resample your DEM to a smoother raster and still make contours accurate enough for your needs, but the accuracy is difficult to quantify once smoothed. You can reference the RMSE value to assess the accuracy of contours made directly from the initial DEM, but contours from a smoothed DEM will not have a certifiable accuracy without doing some kind of comparison to surveyed ground control.

I would not bother with a terrain, the only advantage to using that would be if you had the point cloud data. In that case you could convert the cloud to multipoints and then generate a raster using the terrain's extra resampling and pyramiding functionality. Instead, I would generate contours directly from the initial USGS DEM, then experiment with smoothing the DEM and creating contours - using the original DEM/contours for a reference to see how far your smoothed elevations are deviating (a histogram,etc could be useful for quantifying the difference).

  • That's exactly what I needed to hear. Thank you. I think we'll go with smoothing the DEM, since most of the time these contours will probably be used for design and cartographic purposes. Then, any contours that will be used in the field will be accompanied by a warning about establishing ground control first or just recreated without smoothing as necessary. Thanks again! – Jess Nov 27 '13 at 18:02

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