Oak Ridge National Laboratory 20250606 vector digital data Federal Emergency Management Agency FEMA 20250606 GIS Data Project/Collection This feature class contains structure (building) polygons for the state/territory of Alabama. This update (as of 6/06/2025) is provided with additional attributions, where available: B_CODE, POP_CI95_LOWER, POP_MEDIAN, POP_CI95_UPPER. They have been populated with the best available data from sources cited in the source section. The structures (buildings) are represented by polygon geometries with an attribute table described elsewhere in the metadata. This dataset was created to inventory all structures in the US and its territories whose size is greater than 450 square feet. It provides cartographic context for urban density, patterns of use, visual reference, and navigation support. 20070101 20231230 Time period date range corresponds to the IM_DATE field of the feature class. Complete As Needed -88.471410001 -84.923293187 35.006159226 30.185787647 None homeland security homeland defense emergency response structures building outlines USA structures None United States and Territories USA Alabama None None Federal Emergency Management Agency – Response Geospatial Office Mailing and Physical

500 C St SW

Washington DC DC 20024 United States 202-341-1426 Oak Ridge National Laboratory Mailing and Physical

One Bethel Valley Rd, MS-6017

Oak Ridge TN 37831 United States 865-341-0013 865-241-6261 Oak Ridge National Laboratory (ORNL); Federal Emergency Management Agency (FEMA) Geospatial Response Office Version 6.2 (Build 9200) ; Esri ArcGIS 10.5.1.7333 No formal attribute accuracy test was conducted. Data from the authoritative sources are assumed to be correct and accurate. No formal logical consistency tests were conducted. No formal completeness tests were conducted; however, data capture is complete as of the most recent date indicated in the Time Period section. None; however, the horizontal positional accuracy of derived features is directly correlated to the accuracy of the imagery used to extract the feature. WorldView-2 and WorldView-3 sensors have a reported geolocation accuracy of less than 3.5 meters. NAIP reports a horizontal accuracy of at least 5 meters within a 1 meter ground sample distance. None; however, the vertical positional accuracy correlates to the accuracy of LiDAR and other elevation sources used to derive vertical information. National Geospatial-Intelligence Agency 20160101 vector digital data 20070101 20141022 Observed 133 Cities Geometries and height information were included U.S. Department of Agriculture 20030101 remote-sensing image 20130612 20131010 Observed NAIP Input Imagery from which features were extracted Maxar 20140813 remote-sensing image 20140421 20231230 Observed WV03 Input Imagery from which features were extracted Maxar 20091108 remote-sensing image 20140421 20231230 Observed WV02 Input Imagery from which features were extracted LightBox 20210601 vector digital data 20210601 20210601 publication date LBPD A spatial intersection for occupancy classification with aggregated land use codes where appropriate Homeland Infrastructure Foundation-Level Data (HIFLD) 20230301 vector digital data 20090101 20220608 publication date HIFLD A spatial intersection for occupancy classification U.S. Census Bureau 20211229 vector digital data 20100101 20100101 publication date Census HU A spatial intersection for occupancy classification U.S. Census Bureau 20211229 vector digital data 20210201 20210201 publication date Census tracts GEOID and FIPS included via spatial join U.S. Department of Transportation 20230312 Digital 19991130 20210720 Publication Date NAD Street Number, Street Name, Zip, and City where appropriate Scalable High-Resolution Imagery-Based Building Extraction Pipeline (SCRIBE): High-resolution multispectral imagery is obtained for the area of interest. The raw imagery (Level-1B product) is then pan-sharpened and orthorectified. Complete coverage with minimal cloud cover includes overhead imagery and LiDAR-derived footprints with a spatial resolution less than 0.7 meters. Once imagery pre-processing completes, high performance computing (HPC) environments at ORNL are used to apply a convolutional neural network (CNN) model to the imagery to automatically extract structure boundaries. 20200430 Verification and Validation Model (VVM): Verification and validation of the output produced from SCRIBE is conducted by a machine learning model to remove potential false positives. 20200506 Regularization: The visual representation of the structures has been improved to represent structure geometry more accurately as compared to the imagery-derived raster representations from the SCRIBE pipeline. This step also reduces the number of vertices represented by a structure, thus reducing file size and improving render speeds. 20200506 Attribution and Metadata: Population of some attributes is incomplete and identified in the Entity and Attribute Information section of this metadata. 20211229 Phase 2 attribute expansion: Population of OCC_CLS, PRIM_OCC, PROP_ADDR, PROP_CITY, PROP_ZIP, and PROP_ST with best available data. Coverage of address related fields maybe incomplete. 20230328 Phase 3 attribute expansion and geometry update: Population of PROP_CNTY, B_CODE, POP_CI95_LOWER, POP_MEDIAN, POP_CI95_UPPER with best available data. Updated geometries for significant portions of the state. 20250606 Vector Simple FALSE 0 TRUE FALSE 8.983152841195215e-009 8.983152841195215e-009 Decimal Degrees D WGS 1984 WGS 1984 6378137.0 298.257223563 AL_Structures NA NA Feature Class 0 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 Join_Count Join_Count Integer 4 0 0 TARGET_FID TARGET_FID Integer 4 0 0 Join_Count_1 Join_Count Integer 4 0 0 TARGET_FID_1 TARGET_FID Integer 4 0 0 JOIN_FID JOIN_FID Integer 4 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; July 31, 2018. Oak Ridge National Laboratory Locations: Building Occupancy Classification; FEMA Data Standard; July 31, 2018 Contact FEMA at 500 C Street SW, Washington, DC 20024, 202-341-1426 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; July 31, 2018. Oak Ridge National Laboratory Locations: Building Occupancy Classification; FEMA Data Standard; July 31, 2018 Contact FEMA at 500 C Street SW, Washington, DC 20024, 202-341-1426 PRIM_OCC String 35 0 0 SEC_OCC This describes the range of units within Multi Family Dwelling and Temporary Lodging descriptors for Residential building occupancy class as defined by Locations: Building Occupancy Classification; FEMA Data Standard; July 31, 2018. NONE. NOT CURRENTLY POPULATED Locations: Building Occupancy Classification; FEMA Data Standard; July 31, 2018 Contact FEMA at 500 C Street SW, Washington, DC 20024, 202-341-1426 SEC_OCC String 15 0 0 PROP_ADDR Primary street address for a structure (i.e. 5th Avenue and Main Street). National Address Database PROP_ADDR String 200 0 0 PROP_CITY City name. National Address Database PROP_CITY String 50 0 0 PROP_ST State name. Census 2020 tiger shapefiles PROP_ST String 50 0 0 PROP_ZIP Zip code (5 digit). National Address Database US Postal Zip Codes United States Postal Service (https://www.usps.com) PROP_ZIP String 50 0 0 PROP_CNTY County Name. Census 2020 tiger shapefiles PROP_CNTY String 50 0 0 OUTBLDG A non-primary structure or outbuilding such as a garage, shed or other accessory building. NONE. NOT CURRENTLY POPULATED OUTBLDG String 15 0 0 HEIGHT This is a measure of the height (in meters) of the structure as determined from LiDAR or other source data. LiDAR-derived footprints where available provided by NGA HEIGHT Single 4 0 0 SQMETERS This is the two-dimensional area of the building in square meters. Oak Ridge National Laboratory SQMETERS Single 4 0 0 SQFEET This is the two-dimensional area of the building in square feet. Oak Ridge National Laboratory SQFEET Single 4 0 0 H_ADJ_ELEV This is the highest elevation (in meters) of the ground adjacent to the structure as estimated from available elevation data. NONE. NOT CURRENTLY POPULATED H_ADJ_ELEV Single 4 0 0 L_ADJ_ELEV This is the lowest elevation (in meters) of the ground adjacent to the structure as estimated from available elevation data. 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 2020 FIPS Codes for Counties and County Equivalent Entities FIPS/Census (http://www.census.gov/geo/reference/codes/cou.html) FIPS String 50 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 2020 Census (https://www.census.gov/geo/reference/gtc/gtc_ct.html) CENSUSCODE String 20 0 0 PROD_DATE The date that the structure/feature was captured using automated methods (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 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 catalog ID from the Maxar commercial imagery, or the name of the image from National Agriculture Imagery Program (NAIP) imagery used to extract structures. LiDAR-derived footprints provided by the National Geospatial Intelligence Agency (NGA). For LiDAR-derived footprints, the first portion of the name ('LiXXX') denotes the Homeland Infrastructure Foundation-Level Data (HIFLD) production code while the latter portion is the city/project covered. Maxar, USDA, or NGA IMAGE_NAME String 50 0 0 IMAGE_DATE This is the date of the imagery or LiDAR from which the building outline was captured (MM/DD/YYYY). Maxar, USDA, or NGA IMAGE_DATE Date 8 0 0 VAL_METHOD Methodology used to validate building outline as a true positive. Oak Ridge National Laboratory Manual A manual visual inspection using the image in IMAGE_NAME to validate building outline as a true positive by an ORNL Analyst. 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 Spatial Intersect A new structure that spatially intersected a previously validated structure. Oak Ridge National Laboratory USGS TNMC A manual visual inspection was conducted by The National Mapping Corps of USGS. 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 UUID Universally Unique Identifier (method 4); a 128-bit id label coded in hexadecimal as a string in '{8-4-4-4-12}' or '8-4-4-4-12' format. Each structure within the complete USA Structures database will have a unique UUID. https://datatracker.ietf.org/doc/html/rfc4122.html Oak Ridge National Laboratory UUID String 50 0 0 B_CODE Name of building code standard likely in effect during construction. Oak Ridge National Laboratory B_CODE String 300 0 0 POP_CI95_LOWER Lower bound (percentile 2.5) of 95% Coverage Interval on building population estimate. Oak Ridge National Laboratory POP_CI95_LOWER Integer 4 0 0 POP_MEDIAN Median (percentile 50) building population estimate. Oak Ridge National Laboratory POP_MEDIAN Integer 4 0 0 POP_CI95_UPPER Upper bound (percentile 97.5) of 95% Coverage Interval on building population estimate. Oak Ridge National Laboratory POP_CI95_UPPER Integer 4 0 0 RCID RunCard Number String 10 0 0 RESPUNIT RunCard Resp Units String 18 0 0 ID NWS Unique ID Integer 4 0 0 LASTUPDATE LASTUPDATE Date 8 0 0 LASTEDITOR LASTEDITOR String 50 0 0 created_user created_user String 255 0 0 created_date created_date Date 8 0 0 last_edited_user last_edited_user String 255 0 0 last_edited_date last_edited_date Date 8 0 0 AL911_ID AL911_nguID Integer 4 0 0 NumericID Numeric ID Integer 4 0 0 Shape_Length_1 Shape_Length Double 8 0 0 Shape_Area_1 Shape_Area Double 8 0 0 FULLADDR Full Address String 68 0 0 ST_NUM Street Number Integer 4 0 0 NUM_SUFX Addr Number Suffix String 5 0 0 PRE_DIR Pre Direction String 6 0 0 PRE_TYPE PRE_TYPE String 18 0 0 ST_NAME Street Name String 50 0 0 POST_TYPE POST_TYPE String 18 0 0 POST_DIR POST_DIR String 6 0 0 SUB_UNIT Bldg Apt Ste String 12 0 0 UNIT_ID UNIT_ID String 5 0 0 PLACE MSAG Community String 30 0 0 STATE STATE String 2 0 0 ZIPCODE ZIPCODE String 5 0 0 LNDMK_NAME Landmark Name String 50 0 0 LNDMK_TYPE Landmark Type String 20 0 0 ADDR_LOC Point Placement Location String 20 0 0 ADDR_ZLEV Floor Number SmallInteger 2 0 0 GEOMSRCE Geometry Source String 30 0 0 STATUS STATUS String 5 0 0 PPLACE Postal Community String 30 0 0 LASTUPDATE_1 LASTUPDATE Date 8 0 0 LASTEDITOR_1 LASTEDITOR String 50 0 0 created_user_1 created_user String 255 0 0 created_date_1 created_date Date 8 0 0 last_edited_user_1 last_edited_user String 255 0 0 last_edited_date_1 last_edited_date Date 8 0 0 External_NGUID External_NGUID String 36 0 0 Full_StreetName Full_StreetName String 150 0 0 Building Building String 10 0 0 Inc_Muni Inc_Muni String 100 0 0 Country Country String 2 0 0 County County String 100 0 0 DiscrpAgID DiscrpAgID String 75 0 0 Site_NGUID Site_NGUID String 254 0 0 Uninc_Comm Uninc_Comm String 100 0 0 St_PreDir St_PreDir String 9 0 0 St_PreTyp St_PreTyp String 50 0 0 LSt_Name LSt_Name String 60 0 0 St_PosDir St_PosDir String 9 0 0 ESN ESN String 5 0 0 CountyCode CountyCode String 5 0 0 CityCode CityCode String 10 0 0 Nbhd_Comm Nbhd_Comm String 100 0 0 St_PreMod St_PreMod String 15 0 0 St_PreSep St_PreSep String 20 0 0 St_PosMod St_PosMod String 25 0 0 St_PosTyp St_PosTyp String 50 0 0 GIS_maintn GIS_maintn String 10 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 20240912 Oak Ridge National Laboratory Mailing and Physical

One Bethel Valley Rd, MS-6017

Oak Ridge TN 37831 USA 865-341-0013 865-241-6261 FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.1.0.41833 structures_Clip__Carr 1 -88.471410 -84.923293 35.006159 30.185788 This dataset was created to inventory all structures in the US and its territories whose size is greater than 450 square feet. It provides cartographic context for urban density, patterns of use, visual reference, and navigation support. <div style='text-align:Left;'><div><p><span>This feature class contains structure (building) polygons for the state/territory of Alabama. This update (as of 6/06/2025) is provided with additional attributions, where available: B_CODE, POP_CI95_LOWER, POP_MEDIAN, POP_CI95_UPPER. They have been populated with the best available data from sources cited in the source section. The structures (buildings) are represented by polygon geometries with an attribute table described elsewhere in the metadata.</span></p></div></div> Oak Ridge National Laboratory (ORNL); Federal Emergency Management Agency (FEMA) Geospatial Response Office homeland security homeland defense emergency response structures building outlines USA structures <div style='text-align:Left;'><div><p><span>None</span></p></div></div> structures_Clip__SpatialJoin 002 -88.471410 -84.923293 30.185788 35.006159 1 file://\\FD-245308\C$\Users\ccarr\mapbook\Default.gdb Local Area Network Geographic GCS_WGS_1984 Angular Unit: Degree (0.017453) <GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' 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