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A couple of different ways. If you find out that the breaking point for 25% is lets say 10000.02343 acres, go to Layer Properties > Definition Query and enter the limiting information. Shape_Area < 100000.02343. Then set symbology. Or Similar to what you were trying already, go to Layer Properties > Symbology > Quantities > Graduated Colors. Pick ...


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You can use the open-source liblas tools for this. The command is, las2las --keep-classes 2 -i input.las -o output.las To do many files, use a loop. for f in *.las; do las2las --keep-classes 2 -i $f -o $(basename $f .las)_gnd.las done These commands are, of course, for linux, unix or OSX. liblas is also available for Windows through OSGeo4W.


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With Fusion, the command line to be used is ClipData together with the switch /class. It can clip las data according to the return classification and within specific area of interest. The generic command line would look like this: ClipData /class:2 InputSpecifier SampleFile [MinX MinY MaxX MaxY] /class:2 is because the required category is ground, which ...


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I used SAGA for the evaluation of my LIDAR data and some easy processing. Go to tool libraries > Import/export > LAS. When you import the LAS data using Import LAS Files you can select the import of existing classifications (this should be your categories). Unfortunately, my LIDAR data don't have categories so I can't try it myself. You can select points ...


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lasground.exe in the LASTools mentioned above. This can be run from command line prompt very cleanly.


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You will likely have poor success using pixel-based supervised classification techniques, especially if you only have 3 spectral bands (Red, Green, Blue) from a GE screen capture. You may be able to get at the hedgerows if you had imagery with the near-infrared band. One common technique for supervised classification is to generate a vegetation index such as ...



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