20240719
08455900
1.0
FALSE
generated_buildingoutlines
141.600129
153.244180
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002
Geographic
GDA2020
Angular Unit: Degree (0.017453)
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20260413
22040800
20260413
22040800
ISO19139
dataset
Resources, Georesources, SI, SD, Manager Geospatial Data
Department of Natural Resources and Mines, Manufacturing, and Regional and Rural Development
Manager Geospatial Data, Spatial Data, Spatial Information
20260413
ArcGIS Metadata
1.0
Enterprise Geodatabase Feature Class
Generated building outlines
2024-06-30
DNRMMRR, Georesources, Executive Director Spatial Information
Department of Natural Resources and Mines, Manufacturing, and Regional and Rural Development
Executive Director, Spatial Information
Resources, Georesources, SI, SD, Manager Geospatial Data
Department of Natural Resources and Mines, Manufacturing, and Regional and Rural Development
Manager Geospatial Data, Spatial Data, Spatial Information
Resources, Georesources, SI, SD, Manager State Imagery and Elevation
Department of Natural Resources and Mines, Manufacturing, and Regional and Rural Development
Manager State Imagery and Elevation, Spatial Data, Spatial Information
Building outlines has primarily been created on behalf of Queensland Reconstruction Authority (QRA) for the purpose of performing rapid damage assessments for natural disaster events. The primary objective of this dataset is to display automatically generated buildings, equal or greater than 10m2 with minimal manual input. Emphasis has been placed on identifying presence or absence of building structures rather than high accuracy of outline geometry. Building outlines are initially derived from the LiDAR dataset’s classified point cloud. Outlines are derived from points assigned with the Building class in the point cloud (class 6). The outline geometry is simplified using an orthogonal polygon simplification algorithm. Items marked as current in the status is the latest available data. Generated buildings data is generated by project area and is not state wide. See the attribute fields for further information on project sources and dates.
Building outlines has been created on behalf of Queensland Reconstruction Authority (QRA) for the purpose of performing rapid damage assessments for natural disaster events. They have been captured via automatic processors with minimal manual input. Emphasis is on identifying these structures rather than accurate outlines. High density areas, such as SE Queensland, may have a greater number of inaccurate building outlines. It is suitable for use in emergency management and in the production of web based mapping applications. It should be interpreted and utilised correctly.
© The State of Queensland (Department of Natural Resources and Mines, Manufacturing, and Regional and Rural Development)
Resources, Georesources, SI, SD, Manager Imagery and Elevation
Department of Natural Resources and Mines, Manufacturing, and Regional and Rural Development
Manager Imagery and Elevation, Spatial Data, Spatial Information
Resources, Georesources, SI, SD, Manager Geospatial Data
Department of Natural Resources and Mines, Manufacturing, and Regional and Rural Development
Manager Geospatial Data, Spatial Data, Spatial Information
Queensland
buildings
LiDAR
structure
emergency management
Queensland
buildings
LiDAR
structure
emergency management
Dataset created and owned by the Department of Natural Resources and Mines, Manufacturing, and Regional and Rural Development for the State of Queensland. Data is available with no use limitations however, some fields have been restricted for internal use only. See field metadata information.
The State of Queensland (Department of Natural Resources and Mines, Manufacturing, and Regional and Rural Development)
This material is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/ ">
Creative Commons - Attribution 4.0 International</a> licence. <br />
<a rel="license" href="http://creativecommons.org/licenses/by/4.0/ "><img alt="Creative Commons License" title="Creative Commons - Attribution 4.0 International License" style="border: 0;" src="https://licensebuttons.net/l/by/4.0/88x31.png " /></a><br />
The Department of Natural Resources and Mines, Manufacturing, and Regional and Rural Development requests attribution in the following manner:<br />
© State of Queensland (Department of Natural Resources and Mines, Manufacturing, and Regional and Rural Development) 2021. Updated data available at http://qldspatial.information.qld.gov.au/catalogue/ .
Unrestricted to all levels of government and community. Data is available to all government agencies, community groups and individuals. Dataset is available through physical supply and may be made available via web delivery tools, for example, through DNRME's internet sites.
ISO 19115 (mapped from Qld Govt Information Security Standard IS18)
Esri ArcGIS 13.5.3.57366
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141.600129
153.24418
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true
141.600129
153.24418
-28.990273
-15.202037
Building outlines has primarily been created on behalf of QRA for the purpose of performing rapid damage assessments for natural disaster events. The primary objective of this dataset is to display automatically generated buildings of equal or greater than 10m2 with minimal manual input. Emphasis has been placed on identifying presence or absence of building structures rather than high accuracy of outline geometry. Building outlines are initially derived from the LiDAR dataset’s classified point cloud. Outlines are derived from points assigned with the Building class in the point cloud (class 6). The outline geometry is simplified using an orthogonal polygon simplification algorithm. High density areas, such as SE Queensland, may have a greater number of inaccurate building outlines. The elevation attributes of the outlines are derived from two DEM raster products:
• Digital Terrain Model (DTM) – 1m GSD, delivered by the supplier for the LiDAR project
• Building Surface Model (BSM) – 1m GSD, derived from class 6 (building) points in the las files using a maximum value binning method with no void filling.
Known limitations and issues include:
• Initial generation of building outlines is dependent on the classification accuracy of the point cloud (particularly for class 6) as well as the point density. If points returned from non-building features are present in class 6 (e.g. shade cloths), these will likely end up as a building outline feature. We do perform a brief review of the final dataset to identify and remove these but this is not comprehensive.
• Known issue with dark roofing materials and their low reflectivity of LiDAR pulses – often result in very inaccurate building outline shape or complete omission of an outline
• Outline geometry creation has been developed primarily with detached residential and commercial buildings in mind, and under the assumption that these buildings tend to be orthogonal shapes. Hence, buildings with non-orthogonal edges tend not to have accurate outline geometry. The geometry of complex building structures, such as those with multiple connected or nearby parts or with internal holes, are also often not accurately represented. • Due limitations of point density and processing capacity, buildings close to each other will often be joined together in a single outline feature.
We’ve tried to mitigate this by using the spatial cadastre and valuations data to split outlines that likely represent multiple buildings over multiple separate parcels, however, this doesn’t help situations where: o Buildings are in a Community Management Scheme as we can’t determine from the cadastre/valuations data alone whether a building is likely a detached structure or apartment complex.
o Buildings are all within the same parcel, hence a nearby shed/garage/carport may be joined to an adjacent building
• The splitting process above sometimes results in geometry anomalies where the orthogonal shape of the outline doesn’t line up closely with the parcel boundary
• It is worth noting that the building lean present in orthos may give the appearance that the building outlines are not in the correct position. The building outlines (including elevation attributes) will also be limited by the positional accuracy of the source LiDAR data, and similarly if comparing to imagery, this will have its own positional uncertainty.
• FEATURE SOURCE TYPE - Type of data used to automatically derive the building outlines, i.e. LiDAR
• FEATURE SOURCE PROJECT - Name of the project of the source data for the generation
• CAPTURE START DATE - Start date of capture for the source project.
• CAPTURE END DATE - End date of capture for the source project.
• STATUS - Items marked as current is the latest available project data. It is a determination if the source project is current (latest available) or has been superseded (historical). • MINIMUM BUILDING ELEVATION (m) – minimum BSM value within an outline. Usually recorded in metres above sea level (AHD), if not, it is noted in additional information field.
• MAXIMUM BUILDING ELEVATION (m) – maximum BSM value within an outline. Usually recorded in metres above sea level (AHD), if not, it is noted in additional information field.
• AVERAGE BUILDING EAVE ELEVATION (m)– average BSM value around the edge of an outline. Usually recorded in metres above sea level (AHD), if not, it is noted in additional information field.
• GROUND ELEVATION AT BUILDING CENTROID (m) – DTM value at the centroid of an outline. Usually recorded in metres above sea level (AHD), if not, it is noted in additional information field.
• BUILDING AREA UFI - A Unique Feature Identifier (UFI) is referenced to Topographic Building areas dataset. • DIMENSION M2 - The area of the feature measured in square metres (Albers projection)
• TEXT NOTE - For mapping purposes. Additional annotation that can be shown on a map.
• ADDITIONAL INFORMATION - A comment field (additional information)
Fields for internal use only - • PREDICTED BUILDING CLASSIFICATION – building class determined by the Resources algorithm endorsed by QRA (one of ONESTOREY_SLAB, ONESTOREY_LOWSET, ONESTOREY_HIGHSET, TWOSTOREY, MULTISTOREY)
• PREDICTED HABITABLE FLOOR HEIGHT – estimated habitable floor height above ground based on the assigned building class (0.3m for ONESTOREY_SLAB, TWOSTOREY and MULTISTOREY, 0.8m for ONESTOREY_LOWSET, and 1.5m for ONESTOREY_HIGHSET)
• PREDICTED HABITABLE FLOOR ELEVATION – estimated habitable floor elevation (DTM_CENTRE + FLR_HEIGHT)
(Note: distinction between “elevation” and “height” terminology. Elevation is the vertical distance above the datum (this is usually AHD mean sea level). Height is the vertical distance above ground)
1
141.600129
153.244180
-15.202037
-28.990273
Building outlines are initially derived from the LiDAR dataset’s classified point cloud. Outlines are derived from points assigned with the Building class in the point cloud (class 6). The outline geometry is simplified using an orthogonal polygon simplification algorithm.
High density areas, such as SE Queensland, may have a greater number of inaccurate building outlines. The elevation attributes of the outlines are derived from two DEM raster products:
• Digital Terrain Model (DTM) – 1m GSD, delivered by the supplier for the LiDAR project
• Building Surface Model (BSM) – 1m GSD, derived from class 6 (building) points in the las files using a maximum value binning method with no void filling.
The input to the process is Imagery’s raw polygon output from their automated building roof identification process from LiDAR.
• Processing performed per LGA area.
• Identify, investigate and the manually edit the building outlines that overlap or have holes. Overlaps are critical for future processing and are repaired, holes are non-critical and are edited dependant on timeframes.
• Split building outlines that cross dcdb base parcels. Because of the imagery’s automated roof identification process, buildings close to each other may appear as one polygon. Decision made to use dcdb base parcels as the layer used to split up these multi building polygons to give a more accurate count of buildings.
The building outlines are attributed by extracting raster values within each building outline polygon. Raster values are derived from the following elevation two Digital Elevation Model raster products:
• Digital Terrain Model (DTM) – Ground Sample Distance typically 1m or better depending on LiDAR dataset’s acquisition specifications, delivered by the supplier for the LiDAR dataset
• Building Surface Model (BSM) – Ground Sample Distance typically 1m or better depending on LiDAR dataset’s acquisition specifications, derived from class 6 (building) points in the las files using a maximum value binning method with no void filling.
The following elevation attributes are derived from information from the DTM and BSM rasters:
• BSM_MIN – minimum BSM value within an outline
• BSM_MAX – maximum BSM value within an outline
• BSM_EDGE – average BSM value around the edge of an outline
• DTM_CENTRE – DTM value at the centroid of an outline
The following attributes are for internal use only and derived using information in the above four attributes:
• BUILD_CLS – building class determined by the Resources algorithm endorsed by QRA (one of ONESTOREY_SLAB, ONESTOREY_LOWSET, ONESTOREY_HIGHSET, TWOSTOREY, MULTISTOREY)
• FLR_HEIGHT – estimated habitable floor height above ground based on the assigned building class (0.3m for ONESTOREY_SLAB, TWOSTOREY and MULTISTOREY, 0.8m for ONESTOREY_LOWSET, and 1.5m for ONESTOREY_HIGHSET)
• FLR_ELV – estimated habitable floor elevation (DTM_CENTRE + FLR_HEIGHT)
2889289
EPSG
8.9.4(10.5.0)
generated_buildingoutlines
Feature Class
2889289
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.
featuresourcetype
Feature source type
String
255
0
0
Type of data used to automatically derive the building outlines, i.e. LiDAR
Department of Resources
featuresourceproject
Feature source project
String
255
0
0
Name of the project of the source data for the generation
Department of Resources
capturestartdate
Capture start date
Date
8
0
0
Start date of capture for the source project.
Department of Resources
captureenddate
Capture end date
Date
8
0
0
End date of capture for the source project.
Department of Resources
status
Status
String
255
0
0
Items marked as current is the latest available project data. It is a determination if the source project is current (latest available) or has been superseded (historical).
Department of Resources
bsm_min
Minimum Building Elevation (m)
Double
8
38
8
Minimum Building Surface Model (BSM) value within an outline. Usually recorded in metres above sea level (AHD), if not, it is noted in additional information field.
Department of Resources
bsm_max
Maximum Building Elevation (m)
Double
8
38
8
Maximum Building Surface Model (BSM) value within an outline. Usually recorded in metres above sea level (AHD), if not, it is noted in additional information field.
Department of Resources
bsm_edge
Average Building Eave Elevation (m)
Double
8
38
8
Average Building Surface Model (BSM) value around the edge of an outline. Usually recorded in metres above sea level (AHD), if not, it is noted in additional information field.
Department of Resources
dtm_centre
Ground Elevation at Building Centroid (m)
Double
8
38
8
Digital Terrain Model (DTM) value at the centroid of an outline. Usually recorded in metres above sea level (AHD), if not, it is noted in additional information field.
Department of Resources
ufi
Building area UFI
String
255
0
0
Topographic Building unique file identifier (where applicable)
Department of Resources
dimension_m2
Dimension (m²)
Double
8
38
8
Area calculation in square metres
Department of Resources
build_cls
Predicted Building Classification
String
255
0
0
Department of Resources
INTERNAL USE ONLY
Building class determined by the Resources algorithm endorsed by QRA (one of ONESTOREY_SLAB, ONESTOREY_LOWSET, ONESTOREY_HIGHSET, TWOSTOREY, MULTISTOREY)
flr_height
Predicted Habitable Floor Height
Double
8
38
8
Department of Resources
INTERNAL USE ONLY Estimated habitable floor height above ground based on the assigned building class (0.3m for ONESTOREY_SLAB, TWOSTOREY and MULTISTOREY, 0.8m for ONESTOREY_LOWSET, and 1.5m for ONESTOREY_HIGHSET)
flr_elv
Predicted Habitable Floor Elevation
Double
8
38
8
Department of Resources
INTERNAL USE ONLY Estimated habitable floor elevation (DTM_CENTRE + FLR_HEIGHT)
text_note
Text Note
String
255
0
0
Any extra text notes
Department of Resources
add_information
Additional Information
String
255
0
0
Any additional information required
Department of Resources
st_area(shape)
st_area(shape)
Double
0
0
0
st_perimeter(shape)
st_perimeter(shape)
Double
0
0
0
Simple
FALSE
2889289
FALSE
FALSE