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The colors were added from imagery for the roofs from a Segment Mean Shift image using the Hex Color tool (see my blog). The color applied to sides were from images of houses for sale in the county using the hex tool to get random colors to apply. Arthur Crawford - Esri
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04-05-2017
04:40 PM
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Hello, Applying color to a field that the user can symbolize that the user can symbolize for the building if they wish too, it's just another option. My tool applies it to the 2D buildings as a field, then symbolize off of the field to make 3D with the color applied using Local Government Scenes symbology. The next step is to make it a multipatch feature with the colors embedded. The user can have two featureclasses, on to color to make it somewhat more realistic and one to apply colors to based off use. An example of this is the FortBendTX_3D_Buildings_Scene_Layer on ArcGIS.com.
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04-05-2017
04:33 PM
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Hello, Applying color to a field that the user can symbolize that the user can symbolize for the building if they wish too, it's just another option. My tool applies it to the 2D buildings as a field, then symbolize off of the field to make 3D with the color applied using Local Government Scenes symbology. The next step is to make it a multipatch feature with the colors embedded. The user can have two featureclasses, on to color to make it somewhat more realistic and one to apply colors to based off use. An example of this is the FortBendTX_3D_Buildings_Scene_Layer on ArcGIS.com.
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04-05-2017
04:33 PM
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Try exporting your features to shapefile and then run it as the input. There has been a few times with the dozens of counties I have extracted when the Raster to Polygon tool conversion has created features that have issues that this seems to fix. Arthur
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01-18-2017
10:24 AM
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Hello Andrew, I have some questions on your data input, I regularly run about a hundred thousand features at a time. If I have issues, I usually run a Multipart to Singlepart, then a Repair Geometry. How many buildings are you trying to process? What is the memory of your computer (mb) and how many processors do you have? I have been processing on a system with 32gb of ram and 4 cores. Regularize Building Footprint tool is pretty intensive tool, I would try lowering the amount of input if you have over 100,000 features. For large datasets, I usually break it up under 100,000 and it still takes over an hour to run with 4 processors running at max. I have a tool that's on my blog that might help with dividing features up into circles, small, medium and large features to process differently, Arthur’s Feature Extraction from LiDAR, DEMs and Imagery. I assume your data is in meters, for now my tool is set up to work on feet projection. Khalid can help you, if you can share an example of your polygons with him. Thanks, Arthur Crawford - Esri
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01-18-2017
08:50 AM
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Hi Ricky, Not sure the exact steps I would take, but you should look at taking your building footprints and running the Extracting Buildings and Trees from Lidar tool (BuildingTreeIdentification_V3.zip) on my blog along with Trees as points (Trees From LIDAR and NAIP_Pro.TBX.zip). Next, I would use the classification tools with imagery. Segmentation tool seems to be a good way of classifying the result. I would add those as a field to the points and then try to do a group analysis using slope, segmentation, height, width, and maybe NDVI range. I tried this several years ago with some success. Here's an area I segmented: And then the tree points with attributes run through a group analysis. The Red Triangles were points that are power lines or over water. You can see that different trees species are grouping with the different colors below. You really need ground truth data to do this properly. You have my number/email if you want to contact me. I have not had time to further this research lately. Once you have the points with the groups of trees identified, it would be simple to buffer the trees to a polygon and then using the polygons to classify the points based on height. Thanks, Arthur Crawford - Esri
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01-17-2017
08:31 AM
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Hi Paul, You can also get the point spacing for individual LAS files within a LAS dataset in Pro 1.4 at a file level using Identify. In Map View, zoom out such that the file extents draw, then the Identify reports: Thanks to Clayton (Esri), Arthur Crawford - Esri
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12-27-2016
12:04 PM
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Hi Paul, You can, for now, click on the Analysis Tab, click on Python window and put the following line in. arcpy.Describe('lasdataset.lasd').pointSpacing It should give you an output like: 0.6295601504583404 Thanks to Joseph McGlinchy (Esri), I'll let you know if I hear of another way, Arthur Crawford - Esri
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12-21-2016
03:50 PM
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Options: 1. With your output multipoints, you could use multipart to single part on the 1.3 and calculate a field with a objected MOD 4, then select the ones with MOD field = 0. This would get it close as the 2.8 spacing should roughly have 1/4 the points of the 1.3 spacing. 2. Another option would be to export to rasters with the same resolution from the 1.3 and 2.8 spacing lidar sets. You could then compare the rasters and do a difference. I suggest you use the 2.8 as your output size. Arthur Crawford - Esri
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12-15-2016
09:41 AM
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Hi Joan, I would likely use the method in Understanding segmentation and classification. Then you could convert to polygon. Using this tool is good for building extraction as is.
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12-07-2016
12:39 PM
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Hello Jason, For using this process that is semi-automatic feature extraction you do need both. If you have just spatial analyst, you can get rough polygons by bypassing the Regularize Building Footprints in the model. The polygons will not have the right angles and will have rough edges. You might want to ask your account manager at Esri for a temporary license to test it to see if it is worth it in saving you time on extraction. I know St. Charles County (Missouri) that has been using this tool increased the number of licenses so more could use this process on extracting building footprints. To make sure we are talking about the same tool, is ExtractBuildingsFromImageryPro1_3v4.zip the one you are trying to use? Thanks, Arthur Crawford - Esri
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11-22-2016
09:58 AM
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Hello Jason, I believe you need Spatial Analyst (for Segment Mean Shift) and 3D Analyst (for Regularize Building Footprint). Thanks, Arthur Crawford - Esri
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11-22-2016
09:43 AM
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Hello Dulini, Currently, I'm doing my building extraction in ArcGIS Desktop 10.4. To make the buildings 3d with the Local Government Scenes, you do need ArcGIS Pro. I'm moving over to ArcGIS Pro with the building extraction, but Brian is correct in the process to make the buildings 3D requires ArcGIS Pro. Arthur Crawford - Esri Content
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11-10-2016
10:14 AM
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Hello Andrew, I create the contours used in our basemaps at Esri. I would suggest running Simplify Line on your contours. Your contours likely have too many vertices. I would also run check geometry and repair geometry (twice) afterwards. For input on the Simplify Linne tool, start with a small number (like .2 meters). Often, lidar generated contours have too much detail in them. Another option is to degrade the lidar DEMs before generating using Resample. If generating from a mosaic dataset, I use function to do this. Arthur Crawford - Esri Content
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11-08-2016
11:12 AM
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Another option would be the tools from the Center for Research in Water Resources. I have used their Optimized Pit Removal to quickly process bad data to then get streams for large areas. This tool is good for getting streams in areas where you have lidar. Link: tools.crwr Optimized Pit Removal Contains ArcGIS (version 10.1) geoprocessing script tools for removing pits (or sinks) from Digital Elevation Models using a combination of cut and fill. This alternative to the standard Fill tool provides more realistic flow paths with less required manual adjustment. Ideal for high-resolution datasets such as LiDAR.
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11-08-2016
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