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The US Building Footprint dataset available in github is an awesome resource. The github page has great information on the accuracy/quality of the polygon creation, but I was wondering if there was an estimate of the percentage of total building footprints in the U.S. covered by this dataset? In other words, could this dataset be considered comprehensive for the U.S.?
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@Kate Roberts Welcome to Microsoft Q&A forum!
I believe you are referring to this page https://github.com/microsoft/USBuildingFootprints ?
As mentioned, The vintage of the footprints depends on the vintage of the underlying imagery. Bing Imagery is a composite of multiple sources with different capture dates. Each building footprint has a capture date tag associated if we were able to deduce the vintage of imagery source.
Footprints inside the highlighted region on the map are from 2019-2020. There are 73,250,745 such building footprints. This is the focal area where we rerun extraction for the latest release.
The rest of the footprints were extracted from older images, having wider range of capture dates, averaging 2012 year approximately. We have reused footprints from previous releases in this area.
Other resources to take a look for more information:
https://www.microsoft.com/en-us/maps/building-footprints
https://azure.microsoft.com/en-us/blog/how-to-extract-building-footprints-from-satellite-images-using-deep-learning/
Regarding your specific query, "In other words, could this dataset be considered comprehensive for the U.S.?" I am checking internally with our team and update you as earliest. Appreciate your time and patience.
@Kate Roberts We are still checking on this query with our teams. Appreciate your time and patience.
@Kate Roberts Wanted to follow up with you to understand whether the below information helped. Please let us know if there are any other queries.
If below suggestions answers your query, do click Accept Answer and Up-Vote for the same. And, if you have any further query do let us know.
Hi @Kate Roberts ,
I have not found a canonical source to compare but from our perspective, we consider it to be comprehensive and we use it in our Bing Maps product. It should align exactly with our imagery which meets our requirements but we also offer it to OSM & through GITHUB should others find it useful.
Sincerely,
IoTGirl