View Metadata
Microsoft Building Footprints, Chenango County NY, 2018
- Identification Information
- Data Quality Information
- Spatial Data Organization Information
- Spatial Reference Information
- Entity and Attribute Information
- Distribution Information
- Metadata Reference Information
- Identification Information
- Citation
- Originator
- Microsoft
- Publication Date
- 20180713
- Title
- Microsoft Building Footprints, Chenango County NY, 2018
- Edition
- v1.1
- Geospatial Data Presentation Form
- vector digital data
- Series Information
- Series Name
- Microsoft Building Footprints
- Issue Identification
- Chenango County NY
- Online Linkage
- https://cugir.library.cornell.edu/catalog/cugir-009040
- Abstract
- This dataset provides a single county subset of Microsoft's computer-generated building footprints. The original footprints, covering all 50 US States, were created via a two-stage process. In the first step, semantic segmentation, a deep neural network was used to recognize building pixels on Bing aerial imagery, which is a composite of multiple sources of varying dates. In the second step, building pixels blobs were converted into polygons. It is not perfect, particularly in dense urban areas.
- Purpose
- This dataset provides a relatively complete dataset of building outlines, especially useful for areas where official building footprints may not exist.
- Supplemental Information
- A more detailed description of the project, including evaluation metrics, can be found at https://github.com/Microsoft/USBuildingFootprints
- Temporal Extent
- Currentness Reference
- Publication date
- Time Instant
- 20180713
- Bounding Box
- West
- -75.889374
- East
- -75.296476
- North
- 42.744199
- South
- 42.195175
- Theme Keyword
- buildings
- Theme Keyword Thesaurus
- None
- ISO Topic Category
- structure
- Theme Keyword
- structure
- Theme Keyword Thesaurus
- CUGIR Category
- Place Keyword
- Chenango County NY
- Place Keyword Thesaurus
- None
- Temporal Keyword
- Access Restrictions
- none
- Use Restrictions
- This data is licensed by Microsoft under the Open Data Commons Open Database License (ODbL) https://opendatacommons.org/licenses/odbl/
- Status
- Complete
- Maintenance and Update Frequency
- Unknown
- Data Quality Information
- Logical Consistency Report
- Building footprint boundaries were computer-generated from pixel data, occasionally resulting in invalid polygons, which have been automatically repaired.
- Completeness Report
- Based on an evaluation set of 15k buildings, precision is 99.3%, recall is 93.5%. A building was included in the county-based subset if it was at least partially within the county.
- Horizontal Positional Accuracy Report
- Based on the evaluation set, intersection over union is 0.85, shape distance is 0.33, average rotation error is 1.6 degrees. More details at https://github.com/Microsoft/USBuildingFootprints
- Lineage
- Source
- Originator
- Microsoft
- Publication Date
- 20180713
- Title
- US Building Footprints, New York
- Online Linkage
- https://usbuildingdata.blob.core.windows.net/usbuildings-v1-1/NewYork.zip
- Type of Source Media
- GeoJSON
- Source Temporal Extent
- Time Period Information
- Single Date/Time
- Calendar Date
- 20180713
- Source Currentness Reference
- publication date
- Contribution
- Original statewide GeoJSON file from Microsoft, consisting of 4,844,438 buildings in New York State.
- Spatial Data Organization Information
- Direct Spatial Reference Method
- Vector
- Point and Vector Object Information
- SDTS Terms Description
- SDTS Point and Vector Object Type
- G-polygon
- Point and Vector Object Count
- 35528
- Spatial Reference Information
- Horizontal Coordinate System Definition
- Geographic
- Latitude Resolution
- 0.000001
- Longitude Resolution
- 0.000001
- Geographic Coordinate Units
- Decimal degrees
- Geodetic Model
- Horizontal Datum Name
- D_WGS_1984
- Ellipsoid Name
- WGS_1984
- Semi-major Axis
- 6378137.000000
- Denominator of Flattening Ratio
- 298.257224
- Entity and Attribute Information
- Entity Type
- Entity Type Label
- buildings
- Entity Type Definition
- buildings
- Entity Type Definition Source
- Microsoft
- Attributes
- fid
- arbitrary feature ID (integer id)
- Definition Source
- None
- Distribution Information
- Format Name
- Shapefile
- Format Name
- metadata
- Format Name
- HTML metadata
- Format Name
- KML
- Format Name
- GeoJSON
- Format Name
- OGC:WMS
- Distributor
- Albert R. Mann Library
- Online Access
- https://cugir-data.s3.amazonaws.com/00/90/40/cugir-009040.zip
- Online Access
- https://cugir-data.s3.amazonaws.com/00/90/40/fgdc.xml
- Online Access
- https://cugir-data.s3.amazonaws.com/00/90/40/fgdc.html
- Online Access
- https://cugir.library.cornell.edu/geoserver/cugir/wfs?version=1.0.0request=GetFeaturetypeName=cugir009040outputFormat=application%2Fvnd.google-earth.kml%2Bxml
- Online Access
- https://cugir.library.cornell.edu/geoserver/cugir/wfs?version=1.0.0request=GetFeaturetypeName=cugir009040outputFormat=application%2Fjson
- Online Access
- https://cugir.library.cornell.edu/geoserver/cugir/wms?version=1.1.0request=GetMaplayers=cugir009040bbox=-75.90716094,42.17870428,-75.27868906,42.76066972width=256height=237srs=EPSG:4326format=image/png
- Name
- Metadata Reference Information
- Metadata Date
- 20190612
- Metadata Contact
- Contact Information
- Contact Organization Primary
- Contact Organization
- Albert R. Mann Library
- Contact Address
- Address
- Albert R. Mann Library
- City
- Ithaca
- State or Province
- New York
- Postal Code
- 14853
- Country
- USA
- Contact Voice Telephone
- 607-255-5406
- Contact Electronic Mail Address
- mann-ref@cornell.edu
- Metadata Standard Name
- FGDC Content Standard for Digital Geospatial Metadata
- Metadata Standard Version
- FGDC-STD-001-1998