Has anyone already converted the Microsoft Building Footprints to Feature Class? My Army Corps client is looking to do the entire US but wants to make sure it is not already done. If you know of any datasets, please point me to them.
I highly doubt it given the size of the data set...
but there are some tools and links
GitHub - germrothdaniel/MicrosoftBuildingsToFeatureclass
And in this link
Texas Building Footprints
there are references to these links....
and the data
GitHub - Microsoft/USBuildingFootprints: Computer generated building footprints for the United States
The latter will give you an idea of the unzip geojson size. Probably a state-by-state conversion would be recommended
Thanks Dan, I will pass this along.
(704) 541.9810 x.8641
Debbie, post back if the links were helpful
I've tried this tool from two different sources and in both scenarios I get this error. Has anyone else ran into this?
looks like that script was written for python 2.7 and it is being run in python 3.x since print is now a function and you need to enclose what you intend to print inside round brackets.. ie print(stuff) instead of print stuff
So either the script needs to be corrected or it needs to be run under a python 2.7 environment
I had a similar question, and posted on here this week.. but I just solved the issue!
I just successfully converted the New York State JSON file from Microsoft's GitHub downloads, using ArcGIS Pro 2.3 and it's "JSON To Features" Tool. I read somewhere in ESRI documentation that if the input is GeoJSON, not plain JSON, that you have to specify feature type: So I used this geoproc tool in the Python command window in Pro, not in the Toolbox, because the latter did not expose an option to select feature type.
A spot check of the resulting shapefile seems to suggest this worked great! 4,844,438 buildings resulted, and it didn't take THAT long considering (22 min)
Give it a try!
This exists https://www.arcgis.com/home/item.html?id=bb69f10baf334d4c935a0fb23d758f38
Thanks! This is another good resources, and easy way to browse the data!
In my case I wanted to download them because I have some additional uses for them, including trying to build them into viewshed analyses.(Yes I know that we don't have heights in most places on this data -- yet, but the footprints may still be useful with some assumptions built in)
Retrieving data ...