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Here's an example of how far I got without the tool Dan references in development. The tool should make this much easier to do. Arthur Crawford - Esri
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11-01-2016
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Hello Patrick, First I would convert the area you want to a tin and then use the process linked here: TIN to STL format Here's the process as I understand it: Basically, you turn your raster to a Tin: Raster To TIN—Help | ArcGIS for Desktop Then the Tin to VRML: Exporting a 3D VRML model in ArcScene—Help | ArcGIS for Desktop Then use the script below from this website to convert to python. http://gis.ess.washington.edu/data/vrml/index.html http://gis.ess.washington.edu/data/vrml/vrml2stl.py I have not done this process, but I'm interested to hear if you succeed. Thanks, Arthur Crawford - Esri
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10-31-2016
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Hello Patrick, First I would convert the area you want to a tin and then use the process linked here: TIN to STL format I have not done this process, but I'm interested to hear if you succeed. Thanks, Arthur Crawford - Esri
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10-31-2016
09:46 AM
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Hi Rickey, You should be able to publish it with Create Scene Layer Package for converting the multipatch to a spk and then Share Package tools in Pro 1.3 for publishing it. You will need credits with your ArcGIS Online account. Arthur Crawford - Esri Content Team
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10-28-2016
12:17 PM
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Then Rickey's suggestion on Local Government Scenes seems like the best course of action. The workflow uses Pro and is very well tested. Here's an example of work I have done with Local Government Scenes: Nassau County, NY http://www.arcgis.com/home/item.html?id=49d0c5e8e7ad491ba4aaf9e6c60a5b99 Fort Bend County, TX http://www.arcgis.com/home/item.html?id=087a3ad1029946ea81c811bd3f2dbfa3 Colors were added to buildings with a tool from my blog: Arthur’s Feature Extraction from LiDAR, DEMs and Imagery Arthur Crawford - Esri Content Team
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10-28-2016
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Hi Cyrus, I've been working on this process a little bit. If you select the largest polygon inside the building footprint and run a regularize building footprint at right angles (or diagonal and right angles), then erase it from the original polygon and add them together to get separate polygons (multipart to singlepart). It's not perfect, then add heights to the polygons centroid, join back, divide by 5 and do a dissolve to get rid of small edges. It works fairly well on rectangles, but not as good on weird shaped buildings (circle,odd angles, etc). You can also use the DSM clipped to the building footprint run through Segment Mean Shift and Raster to Polygon to get polygons like above. Thanks, Arthur Crawford - Esri
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10-25-2016
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Here's an example using the Local Government Scenes for Fort Bend County, TX. It's about 260,000 buildings. Colors were added using a tool from my blog. Buildings were extracted using mosaic datasets built with classified lidar in a las dataset (filter for code 6 buildings) and run through the Regularized Building Footprint tool. Scene: http://arcg.is/2efGXQj Thanks, Arthur
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10-18-2016
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Hello Enrico, I'm going to add that you need to use define projection on the output building featureclass in the output.gdb. Thanks, Arthur
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10-18-2016
03:12 PM
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Glad it worked for you! I work with mosaic datasets to extract buildings and tree from lidar. Check out my blog https://community.esri.com/people/acrawford-esristaff/blog/2016/07/18/arthurs-feature-extraction-from-lidar-dems-and-imagery.
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10-12-2016
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Another process that might work would be to take the raw lidar point clouds and add them to mosaic datasets with a filter of ground only. Give both the same point size (smallest) and use triangulation instead of binning. Then add an arithmetic function to one to minus the other, that will give you a difference image you can export. Have it set to bilinear interpolation for the mosaic dataset. Arthur Crawford - Esri
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10-11-2016
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I suggest you check out the latest Local Government Scenes. This includes support for Domes and Vault roof forms. Local Government Scenes | ArcGIS for Local Government September 2016 Option to publish Local Government Scenes to ArcGIS Online. Added support for spherical roofs in the Schematic Scene workflow. Option to show roof lines on LOD2 Buildings. Bug fixes and preformance improvements. June 2016 A new set of workflows and tools that can be used to publish LOD3 buildings and a Realistic Local Government Scene. Added support for vault and dome roofs in the Schematic Scene workflow. New task in the Schematic Scene workflow to modify the elevation around buildings. Bug fixes and improvements. Most recent LocalGovernment.gdb. February 2016 A new set of workflows and tools that can be used to publish LOD2 buildings and a Schematic Local Government Scene. Support for ArcGIS 10.4. December 2015 First release of Local Government Scenes Arthur Crawford - Esri
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10-10-2016
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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 data to then get streams for large areas. I used this tool to extract streams for the continent of Africa from SRTM data and was recommended to me by one of our hydrology experts. 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. Arthur Crawford - Esri
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10-10-2016
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Hello Enrico, I added a new version of the tool with the workspace as a variable. I believe this should fix the problem of in_memory being substituted with C:\Users\student\Documents\ArcGIS\Projects\ImageryExtraction\ImageryExtraction.gdb. I tested in on another system and it appears to work. Let me know if this works for you now. Thanks again for you testing of the tool, it's still in prototype. Arthur
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09-06-2016
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Hello Enrico, I think when I fixed the tool it change the paths from in_memory to the path for the project. I think it is fixed. Let me know if this works for you now. Being in_memory as storage speeds up the tool. Thanks Enrico, Arthur
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08-30-2016
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