vector digital data THIS FEATURE CLASS CONTAINS PRELIMINARY STRUCTURE (BUILDING) POLYGONS FOR THE state of Maryland. 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 Maryland. The raw imagery (1B product) for Maryland was then pan-sharpened and orthorectified. Complete coverage of Maryland with minimal cloud cover includes imagery acquired between 2/10/2011 and 11/4/2019 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 visual representation of the features in this feature class have been improved. -79.486918 -75.050118 39.723030 37.955795 None None Oak Ridge National Laboratory (ORNL) Version 6.2 (Build 9200) ; Esri ArcGIS 10.5.1.7333 Vector Simple FALSE 0 TRUE FALSE D WGS 1984 WGS 1984 6378137.0 298.257223563 MD_Structures 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 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). NONE. NOT CURRENTLY POPULATED PROP_ADDR String 80 0 0 PROP_CITY City name. NONE. NOT CURRENTLY POPULATED PROP_CITY String 50 0 0 PROP_ST State Name. NONE. NOT CURRENTLY POPULATED PROP_ST String 50 0 0 PROP_ZIP Zip Code (5 digit). NONE. NOT CURRENTLY POPULATED 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 20200603 FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time Esri ArcGIS 12.8.0.29751 OakRidge_Calvert 1 -79.486918 -75.050118 39.723030 37.955795 <DIV STYLE="text-align:Left;"><DIV><P><SPAN>THIS FEATURE CLASS CONTAINS PRELIMINARY STRUCTURE (BUILDING) POLYGONS FOR THE state of Maryland. 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 Maryland. The raw imagery (1B product) for Maryland was then pan-sharpened and orthorectified. Complete coverage of Maryland with minimal cloud cover includes imagery acquired between 2/10/2011 and 11/4/2019 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 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> OakRidge_Calvert 002 -79.486918 -75.050118 37.955795 39.723030 1 Projected GCS_WGS_1984 Linear Unit: Meter (1.000000) <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[&quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&quot;,GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Mercator_Auxiliary_Sphere&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,0.0],PARAMETER[&quot;Standard_Parallel_1&quot;,0.0],PARAMETER[&quot;Auxiliary_Sphere_Type&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem> 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