Service Description: With the goal to increase the coverage of building footprint data available as open data for OpenStreetMap and humanitarian efforts, Microsoft has released...
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Max Record Count: 2000
Supported query Formats: JSON
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Description: Over the past few years, Bing Maps has generated high-quality building footprints leveraging AI and harnessing the power of computer vision to identify map features at scale. Applying Deep Neural Networks and ResNet34 to detect building footprints from Bing imagery. Ensuring the best outputs, noise and suspicious data are removed from the predictions.
Downloaded from www.microsoft.com/en-us/maps/building-footprints and clipped to Pingree Park quadrangle by CSU Geospatial Centroid intern Luke Chamberlain 5/20/2020.
Spatial Reference: 26913 (26913)
Initial Extent:
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Spatial Reference: 26913 (26913)
Full Extent:
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Spatial Reference: 26913 (26913)
Units: esriMeters
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