Oak Ridge National Laboratory
20190321
MS_Structures
vector digital data
THIS FEATURE CLASS CONTAINS PRELIMINARY STRUCTURE (BUILDING) POLYGONS FOR THE STATE OF Mississippi. 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 were obtained for Mississippi. The raw imagery (1B product) for Mississippi was then pan-sharpened and orthorectified. Complete coverage of Mississippi with minimal cloud cover includes imagery acquired between 2/06/2011 and 6/5/2018 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 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 developed under previous prototype efforts for structure detection and continues to evolve. 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.
None.
20110206
20180605
Time period date range corresponds the IM_DATE field of the feature class.
Continually
-91.599168
-88.100579
34.995966
30.193119
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) Geographic Information Science and Technology (GIST) Group
Esri ArcGIS 10.3.1.4959
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 remote sensing techniques 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
MS_Structures
Feature Class
0
FID
FID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
OBJECTID
OBJECTID
Integer
10
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
SHAPE
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
Join_Count
Join_Count
Integer
10
10
0
TARGET_FID
TARGET_FID
Integer
10
10
0
BUILDING_I
BUILDING_I
Integer
10
10
0
OCC_TYPE
This identifies occupancy types based on aerial imagery and other data sources.
NONE. NOT CURRENTLY POPULATED
1
Commercial
NONE. NOT CURRENTLY POPULATED
2
Educational
NONE. NOT CURRENTLY POPULATED
3
GoverMSent
NONE. NOT CURRENTLY POPULATED
4
Industrial
NONE. NOT CURRENTLY POPULATED
5
Multi Family Residential
NONE. NOT CURRENTLY POPULATED
6
Religious
NONE. NOT CURRENTLY POPULATED
7
Residential
NONE. NOT CURRENTLY POPULATED
8
Other
NONE. NOT CURRENTLY POPULATED
9
Unknown
NONE. NOT CURRENTLY POPULATED
OCC_TYPE
Integer
5
5
0
MOBILEHOME
A determination from imagery interpretation or census data if the structure is a mobile home. Required due to the high vulnerability of mobile homes.
NONE. NOT CURRENTLY POPULATED
Y
Yes
NONE. NOT CURRENTLY POPULATED
N
No
NONE. NOT CURRENTLY POPULATED
UNK
Unknown
NONE. NOT CURRENTLY POPULATED
MOBILEHOME
String
10
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
Y
Yes
NONE. NOT CURRENTLY POPULATED
N
No
NONE. NOT CURRENTLY POPULATED
UNK
Unknown
NONE. NOT CURRENTLY POPULATED
OUTBLDG
String
10
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
13
0
0
SQUAREMETE
SQUAREMETE
Single
13
0
0
BASE_ELEV_
BASE_ELEV_
Single
13
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
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
Census (https://www.census.gov/geo/reference/gtc/gtc_ct.html)
CENSUSCODE
String
20
0
0
PROP_ADDR
Primary street address, PO Box or location description (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
PROD_DATE
This is the date that the feature was captured (MM/DD/YYYY).
Oak Ridge National Laboratory
PROD_DATE
Date
8
0
0
IM_DATE
This is the date of the imagery or LIDAR from which the feature was captured (MM/DD/YYYY).
Digital Globe or USDA
IM_DATE
Date
8
0
0
SOURCE
This is the name of the contractor or the goverMSent agency that created the feature.
Oak Ridge National Laboratory
SOURCE
String
50
0
0
REMARKS
This is comments that cannot be captured by existing data fields.
Oak Ridge National Laboratory
REMARKS
String
254
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
19
0
0
LATITUDE
Latitude of located point on centroid of structure in millionths of decimal degrees.
Oak Ridge National Laboratory
LATITUDE
Double
19
0
0
CLASSIFICA
CLASSIFICA
String
50
0
0
CAVEAT
The handling caveat of the feature.
Oak Ridge National Laboratory
CAVEAT
String
50
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
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
efscale
efscale
String
50
0
0
DamageCate
DamageCate
String
254
0
0
State
State
String
50
0
0
County_1
County_1
String
50
0
0
Shape_Leng
Shape_Leng
Double
19
0
0
SHAPE_Area
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Double
19
0
0
SHAPE_Le_1
SHAPE_Le_1
Double
19
0
0
SHAPE_Ar_1
SHAPE_Ar_1
Double
19
0
0
TornadoAOI
TornadoAOI
String
50
0
0
BLDG_CATEG
BLDG_CATEG
String
254
0
0
NGA_CLASS
NGA_CLASS
String
254
0
0
RES_NONRES
RES_NONRES
String
254
0
0
VINTAGE
VINTAGE
Date
8
0
0
BUILDING_1
BUILDING_1
Integer
10
10
0
SQUAREME_1
SQUAREME_1
Single
13
0
0
BASE_ELEV1
BASE_ELEV1
Single
13
0
0
CLASSIFI_1
CLASSIFI_1
String
50
0
0
AOI
AOI
String
254
0
0
Shape_Le_2
Shape_Le_2
Double
19
0
0
20190321
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
Esri ArcGIS 12.2.0.12813
totalbuildings_423_v2
1
-91.599168
-88.100579
34.995966
30.193119
<div style='text-align:Left;'><div><p><span>THIS FEATURE CLASS CONTAINS PRELIMINARY STRUCTURE (BUILDING) POLYGONS FOR THE state of South Carolina. 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 South Carolina. The raw imagery (1B product) for South Carolina was then pan-sharpened and orthorectified. Complete coverage of South Carolina with minimal cloud cover includes imagery acquired between 8/26/2013 and 11/23/2018 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 developed under previous prototype efforts for structure detection and continues to evolve. 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>
fema
PReliminary Total Buildings Impacted from Tornados. Used to drive widgets.
totalbuildings_423_v2
002
-91.599168
-88.100579
30.193119
34.995966
1
0.000
Geographic
GCS_WGS_1984
Angular Unit: Degree (0.017453)
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20200423
16420900
20200423
16420900
150000000
5000
FGDC
20200423
13360700
1.0
FALSE
Shapefile
0.000
dataset
EPSG
6.14(3.0.1)
0
Simple
FALSE
0
FALSE
FALSE
20200423
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