2022-04-09T22:00:10
BUILDING
vector digital data
Building Footprint
https://data.cityofnewyork.us/Housing-Development/Building-Footprints/nqwf-w8eh
Building footprints represent the full perimeter outline of each building as viewed from directly above. Additional attribute information maintained for each feature includes: Building Identification Number (BIN); Borough, Block, and Lot information (BASE_BBL and MAPPLUTO_BBL); ground elevation at building base; roof height above ground elevation; construction year, and feature type.
This feature class is used by the NYC DOITT GIS group to maintain and distribute an accurate 'basemap' for NYC. The basemap provides the foundation upon virtually all other geospatial data with New York.
Features are updated daily by DoITT staff and a public release is available weekly on NYC Open Data. Every four years a citywide review is made of the building footprints and features are updated photogrammetrically.
For this dataset, the source imagery used for photgrammetric update was captured on the following dates:<br>Manhattan - June 24, 2014<br>The Bronx, Brooklyn, Queens and Staten Island - April 1st through April 25th, 2014<br>Final delivery of all imagery - April 10, 2015<br>Using this imagery, the planimetric base layers were updated citywide starting in March 2015 and were completed in February 2016.
Estimated positional accuracy for photogrammetrically updated features (those with GEOM_SOURCE = Photogrammetric) is +/- 2 feet and meets ASPRS Class 1 horizontal mapping standards and ASPRS vertical Class 2 accuracy specifications. The mapping standards deal with Root Mean Square (RMS) calculations that states if a random number of clearly identifiable surveyed ground control points throughout the project were compared to the mapped features, the RMS of the points would not exceed 2'. In layman's terms, 95% of the data is accurate to +/- 2'.
Features with GEOM_SOURCE = Other (Manual) are captured by heads-up digitizing using the most current orthophotography available (currently from Spring 2018). These will be somewhat less accurate than the photogrammetrically updated features. Features so identified are reviewed photogrammetrically every four years and updated as necessary.
Features Captured
All buildings >400 sq. feet and taller than 12 feet are to be captured. Buildings with <12 feet height but with BIN should be captured.
Buildings with BIN but <400 sq. feet will be captured.
Buildings with flat roofs will be captured on roof outline, capturing the largest outline (excluding overhangs, awnings, construction features, etc.).
Buildings with pitched roofs will be captured on the building footprint.
Carports, when attached to main building, will be included in the outline.
In cases where editors have no visual or plan information to digitize a footprint, a triangle symbol is used. These features are flagged as FEATURE_CODE = Placeholder.
Features Excluded
Do not collect interior divisions (use existing building layer and BIN as guide).
Do not collect temporary trailers or tents.
Do NOT collect roofs (overhang) to gas stations, unless connected to building.
Do NOT collect movable jet bridge for access to aircraft.
Do NOT collect awnings, scaffolds, or sidewalk sheds.
Do NOT collect small tool or storage sheds in backyards which have no visible car access. In cases where there is no BIN for a feature, a dummy BIN (1000000, 2000000, etc. for each of the Boroughs, see LION manuals pdf) will be populated until we can determine an actual BIN for the structure.
Capture Update Notes
Guidelines for Photogrammetric Update: Use parcel data and BIN as guidance for collection. Where the parcel data indicates that a building should be two or more geometries AND there is NO physical indication, split the building using the parcel lines. Where the parcel data indicates that a building should be two or more geometries AND there is a physical indication, split the building using the physical indications. In cases where geometry previously existed in the legacy data, populate all resulting geometries with the original BIN (BINs will be duplicated in these cases).
Use Parcel layer to place garages within parcel or at parcel boundary check for special cases where parcel boundary clearly crosses garage. In these cases, either split the garage using physical features, or use the property line where there is no distinguishing physical feature.
For more information on capture and update of the Building Footprints dataset, see (Capture Rules.) [https://github.com/CityOfNewYork/nyc-planimetrics/blob/master/Capture_Rules.md]
Guidelines for Manual Update: Features captured by manual update are digitized from the most recent aerial imagery available. In cases where no imagery is available, features are digitized using plan diagrams available from Dept. of Buildings. In cases where there is no imagery or plan source available, a triangle is added and FEAT_CODE is set to Placeholder. Ground elevations are taken from neighboring buildings or from nearby planimetric spot elevation point features. Roof heights are taken from Dept. of Buildings plan diagrams if available or measured from controlled terrestrial image sources. If no source is available, roof height is left zero or NULL.
Weekly
-74.257061
-73.699273
40.915087
40.498294
None
Buildings, Building footprint, BIN, Structure
ISO 19115 Topic Categories
structure
None
Open Data policies and restrictions apply. See Terms of Use (http://www.nyc.gov/html/data/terms.html).
NYC Depatment of Information Technology and Telecommunication, GIS Division
Chris Rado
GIS Manager
mailing and physical
2 Metrotech Center, 4th Floor
Brooklyn
NY
11201
US
718-403-8214
chrado@doitt.nyc.gov
Version 6.2 (Build 9200) ; Esri ArcGIS 10.3.1.4959
Estimated positional accuracy: 95% of the data is accurate to +/- 2 feet
All the NYCMap data was aerotriangulated and stereo-compiled to meet ASPRS Class 1 horizontal mapping standards and ASPRS vertical Class 2 accuracy specifications. The mapping standards deal with Root Mean Square (RMS) calculations that states if a random number of clearly identifiable surveyed ground control points throughout the project were compared to the mapped features, the RMS of the points would not exceed 2'. In layman's terms, 95% of the data is accurate to +/- 2'.
Vector
GT-polygon composed of chains
1084138
NAD 1983 StatePlane New York Long Island FIPS 3104 Feet
40.66666666666666
41.03333333333333
-74.0
40.16666666666666
984250.0
0.0
coordinate pair
0.0003280833333333335
0.0003280833333333335
foot_us
D North American 1983
GRS 1980
6378137.0
298.257222101
BLDG.BUILDING
BIN
Building Identification Number. A number assigned by City Planning and used by Dept. of Buildings to reference information pertaining to an individual building. The first digit is a borough code (1 = Manhattan, 2 = The Bronx, 3 = Brooklyn, 4 = Queens, 5 = Staten Island). The remaining 6 digits are unique for buildings within that borough. In some cases where these 6 digits are all zeros (e.g. 1000000, 2000000, etc.) the BIN is unassigned or unknown.
BASE_BBL
Borough, block, and lot number for the tax lot that the footprint is physically located within.
OBJECTID
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
HEIGHTROOF
Building Height is calculated as the difference from the building elevation from the Elevation point feature class and the elevation in the interpolated TIN model. This is the height of the roof above the ground elevation, NOT its height above sea level. Records where this is zero or NULL mean that this information was not available.
CNSTRCT_YR
The year construction of the building was completed. <br>Originally this column was populated using the Department of Finance Real Property Assessment Database (RPAD). Beginning in 2017 this will be the first year the completed structure is visible in available orthoimagery. Records where this is zero or NULL mean that this information was not available.
GEOMSOURCE
Indicates the reference source used to add or update the feature. Photogrammetric means the feature was added or updated using photogrammetric stereo-compilation methodology. This is the most accurate update method and should conform to the ASPRS accuracy standards. Other (Manual) means the feature was added or updated by heads-up digitizing from orthophotos or approximated from a plan drawing. These features will be generally be less accurate and may not conform to the ASPRS accuracy standards.
LSTSTATYPE
Feature last status type (Demolition, Alteration, Geometry, Initialization, Correction, Marked for Construction, Marked For Demolition, Constructed)
This field will eventually be consolidated into a single STATUS field with LSTSTATTYPE, as some of the information is redundant or no longer used.
DOITT_ID
DOITT ID
SHAPE
Feature geometry.
ESRI
Coordinates defining the features.
FEAT_CODE
Type of Building. List of values:
2100 = Building
5100 = Building Under Construction
5110 = Garage
2110 = Skybridge
1001 = Gas Station Canopy
1002 = Storage Tank
1003 = Placeholder (triangle for permitted bldg)
1004 = Auxiliary Structure (non-addressable, not garage)
1005 = Temporary Structure (e.g. construction trailer)
2100
Building
5100
Building under construction.
5110
Garage
2110
Skybridge
GROUNDELEV
Represents an interpolated elevation value at the centroid (center point) of the building. The process for capturing this is as follows:
1. A bare-earth surface is generated from the 2010 LiDAR by first removing any points that fall within a building polygon. These points are removed to eliminate any data anomalies (e.g., points captured at the roof level). A Digital Terrain Model (DTM) is then generated from the remaining points by interpolating the elevations around the building edges to develop a continuous surface.
2. Building centroids (i.e., the center point within each building) are then draped over the DTM generated from step 1. The bare-earth elevation value at that building centroid is then transferred to the ground elevation attribute of the building footprint. The purpose is to determine a single elevation value that is representative of the elevation values surrounding each building.
LSTMODDATE
SHAPE_AREA
Area of feature in internal units squared.
SHAPE_LEN
Perimeter length of feature in internal units.
ESRI
Coordinates defining the features.
MPLUTO_BBL
Borough, block, and lot number to be used for joining the building footprints data to DCP's MapPLUTO data, which aggregates data for condominium buildings using DOF's billing BBL. For non-condominium buildings the billing BBL is the same as the BASE_BBL. For condominium buildings the billing BBL may be the same for multiple buildings on different physical tax lots if they are part of the same billing unit for DOF purposes.
See access and use constraints information.
withheld
20190115
NYC Depatment of Information Technology and Telecommunication, GIS Division
Chris Rado
GIS Manager
physical
2 Metrotech Center, 4th Floor
Brooklyn
NY
11201
US
718-403-8214
chrado@doitt.nyc.gov
FGDC Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
local time
NYC
NYC Building
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