Building Roof

Insight Pack

Disclaimer

Geoscape Australia believes this publication to be correct at the time of printing and does not accept responsibility for any consequences arising from the use of the information herein. Readers should rely on their own skill and judgement to apply information to particular issues.

This work is copyright. Apart from any use as permitted under the Copyright Act 1968, no part may be reproduced by any process without prior written permission of Geoscape Australia.

Overview

The Building Roof Insight Pack is a national digital dataset representing building roof information for each State and Territory in Australia. Roof information such as the roof colour, roof shape and roof slope, as well as the primary roof material are provided. A tree overhang flag is also provided to describe where a tree overhangs the building’s roof.

Geoscape Australia welcomes your feedback on our Building Roof Insight Pack. We also publish regular updates on the development of our products on the Geoscape website ( www.geoscape.com.au ).

Technical Description

Linkages

The Building Roof Insight Pack references buildings with roof information associated. A building in the Buildings product with null values for roof information will not be represented in the Building Roof Insight Pack.

The building_pid attribute can be used to link the Building Roof Insight Pack building_roof table to the Buildings product buildings table. This is a 1:1 relationship - a building_roof record will link to only one buildings record.

Data format

The Building Roof Insight Pack is provided in the Pipe-Separated Values (PSV) file format and is an aspatial file.

Data Model

Data Dictionary

This data dictionary is applicable for the building_roof insights pack.

Data dictionary for building_roof

Attribute	Data Type	Description	Primary Key	Mandatory	10 Character Alias
building_pid	character string (15)	Persistent identifier for the building.	Yes	Yes	BLD_PID
date_created	date (yyyy-mm-dd)	The date of record creation for the building_roof record.	No	Yes	DT_CREATE
date_modified	date (yyyy-mm-dd)	The most recent date that an attribute has been modified for the building_roof record.	No	No	DT_MOD
roof_colour	character string (7)	The measured Red/Green/Blue (RGB) colour value in hexadecimal format (#rrggbb) for the primary_roof_material of the building.	No	No	ROOF_CLR
roof_shape	character string (7)	The shape of the aerial building’s roof (e.g. ‘Hipped’, ‘Gabled’, ‘Flat’ etc.) in line with the CityGML standard.	No	No	ROOF_SHAPE
primary_roof_material	character string (20)	The material that the roof is primarily made from.	No	No	PR_RF_MAT
roof_slope	number (4,2)	Maximum angle of slope in degrees of the building roof structure, rounded to standardised class values.	No	No	ROOF_SLOPE
tree_overhang	character string (3)	Provides an attribute that describes whether an identified tree overhangs the aerial building geometry. A ‘Yes’ value is used where a tree overhangs the building and a ‘No’ value is used where there is no tree overhanging the building.	No	No	TREE_OVERH
state	character string (3)	The abbreviated name of the State or Territory that the building is primarily within.	No	Yes	STATE

Thematic Quality

Thematic accuracy is defined as the accuracy of quantitative attributes, the correctness of non-quantitative attributes, and of the classification of features and their relationships. Data captured from aerial imagery represent the highest level of detail and quality within the dataset, while data captured from satellite imagery supports broad coverage and consistent identification.

Classification Correctness

Classification correctness is an assessment of the reliability of values assigned to features in the dataset in relation to their true ‘real world’ values.

The rate of classification correctness of the primary_roof_material attribute has been measured in excess of 90% across suburban residential areas. Commercial, industrial, and higher density residential areas are known to have lower classification correctness of the roof material.

Characteristics of a building that can impact the roof_shape classification correctness of the roof shape include but are not limited to:

• Roof furniture e.g. plant rooms, steeples, aerials.

• Buildings that have a larger footprint than roof area.

• Multiple buildings represented as a single building due to proximity.

• The height of the building.

• Overhanging trees.

The rate of classification correctness of the roof_shape has been measured at above 90% on unobstructed buildings.

Frequency and Currency

The Building Roof Insight Pack is released on a quarterly schedule for the months of March, June, September and December.

More Information

For more information on the Building Roof Insight Pack please contact Geoscape Australia Support.

Geoscape Australia Support

Geoscape Australia

Email: support@geoscape.com.au

Portal: support.geoscape.com.au

Web: www.geoscape.com.au