BUILDING

2022-01-29T22:00:13 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: Manhattan - June 24, 2014 The Bronx, Brooklyn, Queens and Staten Island - April 1st through April 25th, 2014 Final delivery of all imagery - April 10, 2015 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. In work 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 Simple FALSE 0 FALSE FALSE coordinate pair 0.0003280833333333335 0.0003280833333333335 foot_us D North American 1983 GRS 1980 6378137.0 298.257222101 BLDG.BUILDING Feature Class 0 FID FID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. 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. BIN Integer 10 10 0 BASE_BBL Borough, block, and lot number for the tax lot that the footprint is physically located within. BASE_BBL String 10 0 0 NAME NAME String 50 0 0 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. HEIGHTROOF Double 19 0 0 LSTMODDATE LSTMODDATE Date 8 0 0 CNSTRCT_YR The year construction of the building was completed. 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. CNSTRCT_YR Integer 10 10 0 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. GEOMSOURCE String 10 0 0 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. LSTSTATYPE String 254 0 0 DOITT_ID DOITT ID DOITT_ID Integer 10 10 0 SHAPE Feature geometry. ESRI Coordinates defining the features. Shape Geometry 0 0 0 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 FEAT_CODE Integer 10 10 0 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 GROUNDELEV Integer 10 10 0 SHAPE_AREA Area of feature in internal units squared. Shape_Area Double 19 0 0 Esri Positive real numbers that are automatically generated. Shape_Leng Shape_Leng Double 19 0 0 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. MPLUTO_BBL String 10 0 0 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 Esri ArcGIS 12.8.0.29751 MapPluto_Harlem_BuildingFootprints 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.Buildings, Building footprint, BIN, Structurestructure MapPluto_Harlem_BuildingFootprints 002 0.000 Projected GCS_North_American_1983 Linear Unit: Foot_US (0.304801) NAD_1983_StatePlane_New_York_Long_Island_FIPS_3104_Feet <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.8.0'><WKT>PROJCS["NAD_1983_StatePlane_New_York_Long_Island_FIPS_3104_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",984250.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-74.0],PARAMETER["Standard_Parallel_1",40.66666666666666],PARAMETER["Standard_Parallel_2",41.03333333333333],PARAMETER["Latitude_Of_Origin",40.16666666666666],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2263]]</WKT><XOrigin>-120039300</XOrigin><YOrigin>-96540300</YOrigin><XYScale>37212589.015695661</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102718</WKID><LatestWKID>2263</LatestWKID></ProjectedCoordinateSystem> 20220209 11502500 20220209 11502500 20220425 12173800 1.0 TRUE Shapefile 0.000 dataset EPSG 5.3(9.0.0) 0 20220209