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Hello SV, The Tin should be more accurate than the Spline. You can compare them by adding both rasters to ArcMap, using the Image Analysis Window under Windows at the top of ArcMap and then click on the Difference Button to get the difference between the two. You could then export the difference image and run statistics on it to get more detailed information on the differences between the images. Just wondering, what's the source of your data in the DEM? Thanks, Arthur Crawford
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03-04-2016
04:10 PM
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Hello SV, From the Help: "Spline interpolates a raster surface from points using a two-dimensional minimum curvature spline technique. The resulting smooth surface passes exactly through the input points." Looking at the graphic below suggest that the Spline in orange might create artificially high and low points in the DEM. A tin usually creates more of a triangle effect with a DEM that is shown in Red below. I would suggest trying to use the Topo to Raster which interpolates a hydrologically correct raster surface from point, line, and polygon data. ArcGIS Help 10.1 Thanks, Arthur Crawford
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03-03-2016
07:08 AM
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Hello Vincent, Since the hillshade function goes from 0 to 255, you could use a remap function to get rid of a range of the "grey" areas. 0 is darkest, so I would suggest starting with a 40 to 255 as nodata. Another option would be to just apply it as symbology as we do in the World Topo Map and using the histogram. Thanks, Arthur Crawford
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03-02-2016
10:18 AM
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Hi Shannon, I would look at your original lidar to see if there are points that are too high. Open ArcGIS and add your las dataset. Do a Profile View window of the lidar. See if in the original lidar there are points that are too high, if so reclassify the points to be noise (7). On your las dataset, set the filter for class to turn off 7 and then try to remake your DSM. Arthur Crawford
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03-02-2016
07:21 AM
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Hello Rao, Have you seen Geoff Taylor's blog on this at Create Floors from 3D Building Models? Arthur Crawford
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02-24-2016
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Hello Norman, You might want to identify where the trees are first. You could use LiDAR from Data | OpenTopography ,, imagery and model I wrote http://www.arcgis.com/home/item.html?id=d280e1c023084992b98088d9f14d3252 to pick out the trees as points. Once you have the points, use the buffer for radius as polygons. Clip the imagery with the polygons and then use this for your image classification to determine if the trees are dead or not. I ran a quick area through using lidar from Open Topography and the California Imagery from 2012 NAIP. Here's an image attached of the trees in ArcGIS Pro and a shapefile of the trees zipped. Arthur Crawford
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02-22-2016
09:33 AM
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Currently, you can find the path to an raster in a mosaic dataset by going into the raster and clicking to it's properties. I suggest being able to calculate a field with the full path to the raster or las dataset or LAS files. The advantage of this is being able to remove a group of images by query, finding groups of rasters faster and symbolizing the footprints of rasters from where they reside.
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08-11-2015
06:08 AM
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Hi Scott, I would suggest using the Topo To Raster tool instead. The interpolation procedure has been designed to take advantage of the types of input data commonly available and the known characteristics of elevation surfaces. This method uses an iterative finite difference interpolation technique. Topo To Raster Tool Help: http://resources.arcgis.com/en/help/main/10.2/index.html#/Topo_to_Raster/009z0000006s000000/ Description of Topo To Raster: http://resources.arcgis.com/en/help/main/10.2/index.html#/How_Topo_to_Raster_works/009z0000007m000000/ When I do this operation, I like to set it up in model builder with the polygon tiles going through an iterator feature selection. It selects the points based of a buffer of the tile to get points outside your tile (say 100m) and then inputs them to the Topo To Raster Tool and use a Clip Raster with the polygon tile on the output to get it back to the original tile size. This step is important as your DEM tiles will not match each otherwise. On converting to USGS DEM format, it's does not look like we support that. http://resources.arcgis.com/en/help/main/10.2/index.html#//009t0000000q000000 Thanks, Arthur Crawford
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07-03-2014
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Hi Tuckers, I've worked quite a bit with the OS Street View and OS Vector District data. I have relied on Mosaic datasets for the OS Street View data and I found it very easy to do with mosaic datasets. You should be able to put it into a Raster Catalog, but if you are using a different projection for the dataframe be sure to use the Petroleum Transformation. I would say that you are not wasting your time, just it would be much easier with ArcGIS 10 and mosaic datasets. You might want to mosaic the images first to meet the National Grid Reference Squares, this would give you less images to add to the Raster Catalog. It would be fairly easy to set up a model to do this. [ATTACH=CONFIG]35000[/ATTACH] Thanks, Arthur Crawford
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06-30-2014
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Hi Tim, You could take the road and clip it for that area. I would then make it 3D feature class and edit the vertices to the height you desire. Then buffer it. Make sure the buffer is 3d and has the slope you desire. Use it and the points to create a TIN and then export to raster to fill in the NoData areas. Arthur Crawford
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06-26-2014
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You could convert the Raster DEM with the missing areas with NoData over to points (Raster to Points) and create a TIN from that using the Gridcode as the height. Then export the TIN to Raster and use it to replace the NoData areas only. Arthur Crawford
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06-26-2014
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