Metro Data Resource Center
20100429
Building Footprint Database
Contains regional building footprint data including average building heights created and complied by Watershed Sciences from regional Lidar data. In instances where Lidar point density was insufficient to establish a footprint, Watershed Sciences either 1) digitized footprint from 2008 Ortho photography or 2) used existing footprint data provided by the Jurisdiction.
The data was collected to provide a means to estimate building floor area as well as serve as a repository for building related regional data.
Data first released on November 15, 2010 as a part of the RLIS Lite package.
20201027
Ground condition
Quarterly
-123.153528597
-122.367487422
45.70263875
45.23396470
None
buildings
footprints
building footprints
height
FAR
floor area
None
Portland
Multnomah County
Washington County
Clackamas County
Oregon
RLIS subscribers (See the RLIS Product Terms and Conditions)
This database and GIS data are made available under the Open Database License (ODbL v1) and Database Content License (DbCL v1). See http://www.oregonmetro.gov/rlis-live.
http://library.oregonmetro.gov/rlisdiscovery/browse_graphic/buildings.png
PNG
Registered to tax lots. Street center lines were digitized from aerial orthophotography at +/- 10 feet accuracy. Tax lots were fit to the street centerlines. Beaverton, Oregon City and Tigard planning areas were improved to +/- 5 feet accuracy. Multnomah County was created with coordinate geometry using better control.
Received regional building footprints from Watershed Sciences.
20100630
Corrected Topology Errors. Approximately 350 topology errors (Does not overlap) existed in the Watershed Sciences delivered data. Metro staff corrected these errors. Some were duplicate buildings along delivery boundaries.
20100715
Added additional heights and confidence rating. Buildings where heights could not be generated by Watershed Sciences process were processed using a 3-foot resolution feature height model (FHM; highest hits minus bare earth) and the following steps<p>1. Watershed Science heights were assigned a confidence of High<br>2. Features were buffered using a negative 3-foot buffer. This was done to try to account for buildings with trees overhanging the edges and any misalignment of the footprint to the FHM.<br>3. Zonal Statistics were generated for all buffers<br>4. For all average heights over 5 feet, the following height confidences were used:<p>a. Medium - Standard Deviation of 2 or less<br />b. Medium-Low - Standard Deviation greater than 2 and less than or equal to 4<br />c. Low - Standard Deviation greater than 4 and less than or equal to 10<br />d. N/A - Standard Deviation greater than 10 (no height assigned)<br />e. Oregon City - heights assigned from original Oregon City building heights</p>
20100731
Assigned Unique building IDs. Unique Building IDs were assigned based on the Taxlot (state ID) in which the centroid falls. The general format is [StateID]-B# i.e. 41E24D-00100-B6 would be the sixth building with a centroid that falls on taxlot 41E24D 00100. Duplicate values will be present if the [Multipoly} field is TRUE.
20100915
Assigned Subarea. Subarea values of City of Portland and City of Portland - BPS were assigned to buildings that will be mainteained byt the City of Portland. At the time of update all buildings within City of Portland maintenance areas will be replaced with their data.
20100915
Added Oregon City and West Linn Maintenance areas. Added two new fields: Square feet Source [sqft_src], and Square Feet Confidence [sqft_conf]
20110201
Added Tigard maintenance area.
20110428
Footprints updated based on 2010 aerial photos within the West Linn, Oregon City, and Tigard maintenance areas. Ongoing updates in City of Portland.
20110801
Added/updated buildings from Multnomah County for all unincorporated areas of Multnomah County. Incorporated new buildings from Port of Portland in areas not maintained by City of Portland.
20120501
Updated buildings region wide and in Portland, Tigard, Lake Oswego, Hillsboro, and Beaverton
20140424
Updated buildings for Tigard, West Linn, Portland, Lake Oswego, and the Port of Portland.
20141023
Updated Portland, Lake Oswego, Tualatin, Tigard, Beaverton, Oregon City.
20150130
Updated Portland, Lake Oswego, Tualatin, Tigard, Beaverton, Oregon City.
20160428
Updated Portland, Lake Oswego, Tigard, Oregon City, Beaverton
20160728
Updated: Lake Oswego, Oregon City, Portland, Tigard
20161026
Updated: Lake Oswego, Oregon City, Portland, Tualatin
20170125
Updated; Portland, Oregon City, Hillsboro, Lake Oswego, General Regional
20170425
Updated: Portland, Lake Oswego, Tigard, Major updates to West Linn.
20180127
Updated Portland and Lake Oswego, major updates to Tualatin, corrected feature attributes for West Linn
20180426
Updated: Portland, Lake Oswego, Oregon City, Tigard, Gresham. DOGAMI data was added for areas beyond the previous extent of the building footprint data, and edits identified from two years of Vacant Land Inventories were incorporated.
20180727
Updated: Portland, Lake Oswego, Oregon City, Tualatin, Tigard; major updates to Hillsboro.
20181025
Incorporated edits from 2018 Vacant Lands Inventory; updated Oregon City, Beaverton, Tigard, Lake Oswego, Portland.
20190125
Incorporated edits from 2019 Vacant Land Inventory; updated Beaverton, Lake Oswego, Oregon City, Portland, Tigard, Tualatin.
20200414
BLDG_ADDR values in Metro and Beaverton SUBAREAs updated from the Master Address File.
20201016
Vector
Simple
FALSE
0
TRUE
FALSE
International foot
D_North_American_1983_HARN
Buildings.dbf
Attributes for building footprints database
Feature Class
0
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
Bldg_ID
Unique Building ID number. Duplicates are allowed as each part of a multipart buildings will have the same ID
NA
BLDG_ID
String
30
0
0
State_ID
State Taxlot ID that the centroid of the building falls within
NA
STATE_ID
String
20
0
0
Bldg_Numb
the number of the building on the taxlot. Bldg_ID is made up of State_ID + _B + Bldg_Numb
NA
BLDG_NUMB
Integer
4
10
0
Bldg_Name
Common Name of building. i.e. Oregon Convention Center
NA
BLDG_NAME
String
50
0
0
Bldg_Addr
Primary building address (default is from Assessor's record)
NA
BLDG_ADDR
String
50
0
0
Bldg_Type
Type of Building (i.e. Single-Family Residence) Domain values to be determined
NA
BLDG_TYPE
String
30
0
0
Bldg_Use
Predominant building uses
Commercial Office
Commercial Retail
Industrial
Institutional
Parking
Residential
Vacant
NA
BLDG_USE
String
30
0
0
Bldg_Sqft
Sq. Footage of building
NA
BLDG_SQFT
Integer
4
10
0
Sqft_Src
The source of the value in [Bldg_Sqft]
NA
SQFT_SRC
String
50
0
0
Sqft_Conf
The level of confidence in the value in [Bldg_Sqft]
NA
SQFT_CONF
String
50
0
0
Num_Story
Number of stories
NA
NUM_STORY
Integer
4
10
0
Num_Units
Number of Units in building
NA
NUM_UNITS
Integer
4
10
0
Year_Built
year built
NA
YEAR_BUILT
Integer
4
10
0
Ecoroof
yes/no
NA
ECOROOF
String
1
0
0
LEED_Rate
the LEED rating of the building
NA
LEED_RATE
String
15
0
0
Source
Source of the building footprints
NA
SOURCE
String
30
0
0
Source_Ref
Additional Reference for building footprint source (i.e. building permit number if footprint derived from building permit)
NA
SOURCE_REF
String
50
0
0
Avg_Height
Average Height of building
NA
AVG_HEIGHT
Double
8
38
8
Max_Height
Maximum Height for building
NA
MAX_HEIGHT
Double
8
38
8
Min_Height
minimum height for building
NA
MIN_HEIGHT
Double
8
38
8
Height_Src
Source of Height Data
NA
HEIGHT_SRC
String
30
0
0
HeightConf
Confidence of Height Data (see domain for details)
High
Height data determined by classified Lidar points or actual data from building permits/as-builts
Low
Height determined from 3 ft. Feature Height Model with a standard deviation of greater than 4 less than or equal to 10
Medium
Height determined from 3 ft. Feature Height Model with a standard deviation of 2 or less
N/A
Height value was not available or had a standard deviation of greater than 10.
Medium-Low
Height determined from 3 ft. Feature Height Model with a standard deviation of greater than 2 less than or equal to 4
NA
HEIGHTCONF
String
15
0
0
Surf_Elev
Elevation of the surface at the base of the building
NA
SURF_ELEV
Double
8
38
8
Surf_Off
Offset from Surface (i.e. sky bridge would be a positive offset, basement floor would be a negative offset)
NA
SURF_OFF
Double
8
38
8
Surf_Adj
Adjusted Surface based on Offset
NA
SURF_ADJ
Double
8
38
8
Surf_Src
Data source of surface elevation
NA
SURF_SRC
String
30
0
0
Roof_Elev
Roof Elevation. Height plus Adjusted Surface
NA
ROOF_ELEV
Double
8
38
8
Roof_Type
Roof Type
Complex
Flat
Multi-level Flat
Pitched
NA
ROOF_TYPE
String
15
0
0
Orient
Building Orientation
NA
ORIENT
Double
8
38
8
Volume
Volume of building (in cubic feet).
NA
VOLUME
Integer
4
10
0
Multi_Poly
Yes/No flag if building is a single or multi-part building
NA
MULTI_POLY
String
1
0
0
Modifier
Modified By (agency name domain)
BPS
BPS - Portland Bureau of Planning & Sustainability
CGIS
Portland Corporate GIS
City of Hillsboro
City of Lake Oswego
City of Tualatin
City of West Linn
Metro
Metro
Oregon City
PPR
Portland Parks & Recreation
Watershed Sciences
NA
MODIFIER
String
30
0
0
Mod_Name
Modifier Name
NA
MOD_NAME
String
15
0
0
Mod_Date
Date of latest modfication
NA
MOD_DATE
Date
8
0
0
Created_By
Created By
AgencyNames
See Modifier Column for Full Values List
NA
CREATED_BY
String
30
0
0
CreateDate
Creation Date
NA
CREATEDATE
Date
8
0
0
Field_Date
Field Date
NA
FIELD_DATE
Date
8
0
0
Review
Flag for Review?
NA
REVIEW
String
1
0
0
Notes
Notes
NA
NOTES
String
150
0
0
Subarea
Maintaining Agency
AgencyNames
See Modifier Column for Full Values List
NA
SUBAREA
String
30
0
0
Lat_Ctr
Latitude of Building Centroid
NA
LAT_CTR
Double
8
38
8
Long_Ctr
Longitude of Building Centroid
NA
LONG_CTR
Double
8
38
8
USGS_Quad
USGS Quad Location
NA
USGS_QUAD
String
30
0
0
WSUniqueID
Unique ID assigned by Watershed Sciences upon initial delivery
NA
WSUNIQUEID
String
30
0
0
GISDATA.Building_Updated.AREA
GISDATA.Building_Updated.AREA
Double
8
38
8
BPS_BldgID
Original Building ID, Portland Bureau of Planning and Sustainability
NA
BPS_BLDGID
Integer
4
10
0
Update_Type
Update_Type
String
255
0
0
Area
Area in square feet
NA
AREA
Double
8
0
0
Shape.STArea()
Shape.STArea()
Double
0
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
Length
Length in feet
NA
LENGTH
Double
8
38
8
Metro Data Resource Center
600 NE Grand Ave.
Portland
OR
97232
503 797-1742
503 797-1909
drc@oregonmetro.gov
The information in this file was derived from digital databases on Metro's GIS. Care was taken in the creation of this file. Metro cannot accept any responsibility for errors, omissions, or positional accuracy. There are no warranties, expressed or implied.
Shapefile
144
DVD or CD-ROM
ISO9660
http://www.oregonmetro.gov/rlisdiscovery
Email drc@oregonmetro.gov or call 503-797-1742 for further instructions.
NA
20201027
Metro Data Resource Center
Christine Rutan
mailing and physical address
600 NE Grand Ave.
Portland
OR
97232
503-797-1669
503 797-1909
christine.rutan@oregonmetro.gov
FGDC Content Standards for Digital Geospatial Metadata
FGDC-STD-001-1998
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
20211028
08191500
1.0
FGDC CSDGM Metadata
FALSE
Building_Updated
002
Projected
GCS_North_American_1983_HARN
Linear Unit: Foot (0.304800)
NAD_1983_HARN_StatePlane_Oregon_North_FIPS_3601_Feet_Intl
<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/3.4.0'><WKT>PROJCS["NAD_1983_HARN_StatePlane_Oregon_North_FIPS_3601_Feet_Intl",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",8202099.737532808],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-120.5],PARAMETER["Standard_Parallel_1",44.33333333333334],PARAMETER["Standard_Parallel_2",46.0],PARAMETER["Latitude_Of_Origin",43.66666666666666],UNIT["Foot",0.3048],AUTHORITY["EPSG",2913]]</WKT><XOrigin>-111333600</XOrigin><YOrigin>-98152500</YOrigin><XYScale>3048</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808398950131233</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2913</WKID><LatestWKID>2913</LatestWKID></ProjectedCoordinateSystem>
20250721
07335600
20250721
07335600
Esri ArcGIS 13.4.0.55405
Building_Updated
Enterprise Geodatabase Feature Class
dataset
EPSG
6.3(9.0.0)
0
20250721