Oak Ridge National Laboratory
20190830
FL_Structures
Vector Digital Data Set (Polygon)
THIS FEATURE CLASS CONTAINS PRELIMINARY STRUCTURE (BUILDING) POLYGONS FOR THE state of Florida. The structures (buildings) are represented by polygon geometries with an attribute table described elsewhere in the metadata. WorldView-02 and WorldView-03 high resolution multispectral imagery was obtained for Florida. The raw imagery (1B product) for Florida was then pan-sharpened and orthorectified. Complete coverage of Florida with minimal cloud cover includes imagery acquired between 8/11/2013 and 11/21/2018 and spatial resolutions between 0.46-0.85 meters. Once the imagery pre-processing was complete, training data was acquired and multiple convolutional neural network (CNN) models were generated. High Performance Computing (HPC) environments at ORNL were then used to apply the CNN to the imagery resulting in this preliminary structure (building) feature class. Minimal review of this dataset has been completed. Verification and validation of this dataset was conducted by an algorithmic model. See ‘Automated’ domain value for VAL_METHOD for more details. Only structure polygon results whose area is greater than 450 square feet are included in this feature class. The attribute schema associated with this feature class has been revised from previous data submissions. Population of some attributes is incomplete and identified in the Entity and Attribute Information section of this metadata. The PROP_ADDR, PROP_CITY, PROP_ST, and PROP_ZIP fields were populated from open-source address data (identified in the Attribute Definition Source section of those fields) using a parcel-bounded spatial conflation methodology. The visual representation of the features in this feature class have been improved.
20130811
20181121
Time period date range corresponds to the IMAGE_DATE field.
Continually
-87.601870
-80.031799
31.000814
24.521169
None
None
Oak Ridge National Laboratory
Mailing and Physical
One Bethel Valley Rd, MS-6017
Oak Ridge
TN
37831
United States
865-241-3976
865-241-6261
Oak Ridge National Laboratory (ORNL)
Version 6.2 (Build 9200) ; Esri ArcGIS 10.4.0.5524
Vector
Simple
FALSE
6645067
TRUE
FALSE
No formal attribute accuracy test was conducted. Data from the authoritative sources are assumed to be correct and accurate.
Data were extracted from sources using an artificial neural network and advanced remote sensing techniques.
Data is complete as of the most recent date indicated in the Time Period section.
None; all efforts are made to place the geographic representation of the facility on-entity using the best available imagery from a wide variety of sources.
None; dataset contains no vertical data.
8.983152841195215e-009
8.983152841195215e-009
Decimal Degrees
D WGS 1984
WGS 1984
6378137.0
298.257223563
FL_Structures
Feature Class
6645067
OBJECTID
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
OBJECTID
OID
4
0
0
Shape
Feature geometry.
Esri
Coordinates defining the features.
Shape
Geometry
0
0
0
Shape_Length
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Length
Double
8
0
0
Shape_Area
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Double
8
0
0
BUILD_ID
Unique ID for each feature.
Oak Ridge National Laboratory
BUILD_ID
Integer
4
0
0
OCC_CLS
This identifies the top level building occupancy class as defined by "Locations: Building Occupancy Classification; FEMA Data Standard; July31, 2018.
NONE. NOT CURRENTLY POPULATED
OCC_CLS
String
20
0
0
PRIM_OCC
This identifies the primary descriptor for a building’s usage for each top level building occupancy class as defined by "Locations: Building Occupancy Classification; FEMA Data Standard; July31, 2018.
NONE. NOT CURRENTLY POPULATED
PRIM_OCC
String
35
0
0
SEC_OCC
This describes the range of units within Multi Family Dwelling and Temporary Lodging descriptor for Residential building occupancy class as defined by "Locations: Building Occupancy Classification; FEMA Data Standard; July31, 2018.
NONE. NOT CURRENTLY POPULATED
SEC_OCC
String
13
0
0
PROP_ADDR
Primary street address, PO Box or location desc. (i.e. 5th Avenue and Main Street).
The Florida Department of Revenue, the respective County Property Appraiser's Office and the University of Florida GeoPlan Center (http://www.fgdl.org).
PROP_ADDR
String
80
0
0
PROP_CITY
City name.
The Florida Department of Revenue, the respective County Property Appraiser's Office and the University of Florida GeoPlan Center (http://www.fgdl.org).
PROP_CITY
String
50
0
0
PROP_ST
State Name.
The Florida Department of Revenue, the respective County Property Appraiser's Office and the University of Florida GeoPlan Center (http://www.fgdl.org).
PROP_ST
String
50
0
0
PROP_ZIP
Zip Code (5 digit).
The Florida Department of Revenue, the respective County Property Appraiser's Office and the University of Florida GeoPlan Center (http://www.fgdl.org).
PROP_ZIP
String
50
0
0
OUTBLDG
A determination from imagery if the structure is an outbuilding, such as a garage, shed or other accessory building.
NONE. NOT CURRENTLY POPULATED
OUTBLDG
String
13
0
0
HEIGHT
This is a measure of the height of the structure as determined from LIDAR or other method.
NONE. NOT CURRENTLY POPULATED
HEIGHT
Single
4
0
0
SQMETERS
This is the area of the building footprint in square meters. Field populated using PCS:USA_Contiguous_Albers_Equal_Area_Conic_USGS
Oak Ridge National Laboratory
SQMETERS
Single
4
0
0
SQFEET
This is the area of the building footprint in square feet. Field populated using PCS:USA_Contiguous_Albers_Equal_Area_Conic_USGS
Oak Ridge National Laboratory
SQFEET
Single
4
0
0
H_ADJ_ELEV
This is the highest adjacent base elevation of the structure as estimated from LIDAR or other DEM above mean sea level (amsl).
NONE. NOT CURRENTLY POPULATED
H_ADJ_ELEV
Single
4
0
0
L_ADJ_ELEV
This is the lowest adjacent base elevation of the structure as estimated from LIDAR or other DEM above mean sea level (amsl).
NONE. NOT CURRENTLY POPULATED
L_ADJ_ELEV
Single
4
0
0
FIPS
US County Federal Information Processing Standards (FIPS) Code (5 digit).
Oak Ridge National Laboratory
2010 FIPS Codes for Counties and County Equivalent Entities
FIPS/Census (http://www.census.gov/geo/reference/codes/cou.html)
FIPS
String
13
0
0
CENSUSCODE
Census tract identifier; a concatenation of current state Federal Information Processing Series (FIPS) code, county FIPS code, and census tract code
Oak Ridge National Laboratory
United States Census Tracts
Census (https://www.census.gov/geo/reference/gtc/gtc_ct.html)
CENSUSCODE
String
20
0
0
PROD_DATE
This is the date that the feature was captured (MM/DD/YYYY).
Oak Ridge National Laboratory
PROD_DATE
Date
8
0
0
SOURCE
This is the name of the contractor or the government agency that created the feature.
Oak Ridge National Laboratory
SOURCE
String
50
0
0
USNG
United States National Grid Coordinate.
Oak Ridge National Laboratory
United States National Grid Coordinate System
U.S. National Grid (https://usngcenter.org/)
USNG
String
50
0
0
LONGITUDE
Longitude of located point on centroid of structure in millionths of decimal degrees.
Oak Ridge National Laboratory
LONGITUDE
Double
8
0
0
LATITUDE
Latitude of located point on centroid of structure in millionths of decimal degrees.
Oak Ridge National Laboratory
LATITUDE
Double
8
0
0
IMAGE_NAME
The name of the image from NAIP, or catalog ID from the Digital Globe image, used to generate structures.
Digital Globe or USDA
IMAGE_NAME
String
50
0
0
IMAGE_DATE
This is the date of the imagery from which the feature was captured (MM/DD/YYYY).
Digital Globe or USDA
IMAGE_DATE
Date
8
0
0
VAL_METHOD
Methodology used to validate building outline as a true positive.
Oak Ridge National Laboratory
Imagery
The image in IMAGE_NAME was used to validate feature.
Oak Ridge National Laboratory
Automated
Feature was evaluated by an algorithm. The algorithm generates probabilities representing the likelihood of each feature being a true positive. Features that have a 50% or higher chance of being a true positive are excluded from the review process and are assumed to be valid.
Oak Ridge National Laboratory
Unverified
Feature has not been formally reviewed.
Oak Ridge National Laboratory
VAL_METHOD
String
50
0
0
REMARKS
This is comments that cannot be captured by existing data fields.
Oak Ridge National Laboratory
REMARKS
String
500
0
0
20190830
Oak Ridge National Laboratory
Mailing and Physical
One Bethel Valley Rd, MS-6017
Oak Ridge
TN
37831
United States
865-241-3976
865-241-6261
FGDC Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
local time
Version 6.2 (Build 9200) ; Esri ArcGIS 10.5.1.7333
FL_Structures
1
-87.601870
-80.031799
31.000814
24.521169
<DIV STYLE="text-align:Left;"><DIV><P><SPAN>THIS FEATURE CLASS CONTAINS PRELIMINARY STRUCTURE (BUILDING) POLYGONS FOR THE state of Florida. The structures (buildings) are represented by polygon geometries with an attribute table described elsewhere in the metadata. WorldView-02 and WorldView-03 high resolution multispectral imagery was obtained for Florida. The raw imagery (1B product) for Florida was then pan-sharpened and orthorectified. Complete coverage of Florida with minimal cloud cover includes imagery acquired between 8/11/2013 and 11/21/2018 and spatial resolutions between 0.46-0.85 meters. Once the imagery pre-processing was complete, training data was acquired and multiple convolutional neural network (CNN) models were generated. High Performance Computing (HPC) environments at ORNL were then used to apply the CNN to the imagery resulting in this preliminary structure (building) feature class. Minimal review of this dataset has been completed. Verification and validation of this dataset was conducted by an algorithmic model. See ‘Automated’ domain value for VAL_METHOD for more details. Only structure polygon results whose area is greater than 450 square feet are included in this feature class. The attribute schema associated with this feature class has been revised from previous data submissions. Population of some attributes is incomplete and identified in the Entity and Attribute Information section of this metadata. The PROP_ADDR, PROP_CITY, PROP_ST, and PROP_ZIP fields were populated from open-source address data (identified in the Attribute Definition Source section of those fields) using a parcel-bounded spatial conflation methodology. The visual representation of the features in this feature class have been improved.</SPAN></P></DIV></DIV>
Oak Ridge National Laboratory (ORNL)
<DIV STYLE="text-align:Left;"><DIV><P><SPAN>None</SPAN></P></DIV></DIV>
buildings
structures
Florida
This layer includes building structures for Florida downloaded from geoplatform.gov.
FL_Structures
002
-87.601870
-80.031799
24.521169
31.000814
1
Geographic
GCS_WGS_1984
Angular Unit: Degree (0.017453)
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20190816
10092100
20190816
10092100
150000000
5000
FGDC
File Geodatabase Feature Class
dataset
EPSG
6.14(3.0.1)
6645067
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