1. Cost Effective Building Capture At Continental Scale Using Satellite Imagery And Automatic Feature Extraction
Dan Paull, PSMA Australia

2. Technology has crossed a threshold
Satellite image processing
Machine learning
Crowdsourcing
Advances in satellite image processing, machine learning technology and cloud computing have opened up new opportunities for large-scale capture of data describing the built environment at a quality and cost not possible before.
Dan Paull, PSMA Australia

3. In Australia this has allowed PSMA to deliver Geoscape
A rich set of decision support information bringing together many different attributes to provide a better understanding of what exists at every address throughout Australia.
Easily queryable and extractable, this sophisticated dataset is being used to support government policy development and service delivery, as well as informing corporate entities in their planning for growth and productivity.
Dan Paull, PSMA Australia

4. An extraordinarily rich dataset - national, homogeneous, harmonized
Extracted attribute features
2D roof polygon
Ground level coordinates for roof vertices
Roof area
Roof pitch/complexity
Number of roof vertices
Ground level building centroid
Maximum roof height
Swimming pool indicator
Roof material
Solar panel indicator
Residential land use indicator
Landcover
Impervious surfaces
Built up areas
Road and path
Bare Earth
Buildings
Vegetation
Tree coverage
Grass coverage
Unspecified vegetation
Water
Unknown
Unclassified
Related Property Information
Geocoded Address
Cadastre boundary
Property boundary
Planning Zones
Vegetation Height
Tree height
Every single structure in the entire continent!

5. Geoscape enables government and businesses to plan, monitor, innovate and improve
Emergency Services
Telecommunications
Utilities
Insurance
Government Services
Real Estate

6. linkage with authoritative foundational data IS Key to the value proposition
GEOSPATIAL FOUNDATIONS
GEOSCAPE
ADDRESS
TREES
BUILDINGS
CADASTRE
Australia’s land administration systems are mature enough to enable the integration of this data into existing land administration policies, functions and infrastructure.
SURFACE COVER
ADMINISTRATIVE BOUNDARIES
SATELITTE IMAGERY
Dan Paull, PSMA Australia

7. In developing countries these foundations may be missing or incomplete
Common data gaps:
Incomplete addressing
Limited national cadastral coverage
Incomplete road and locality definitions
Exacerbated by:
High proportion of informal tenancy
Rapid urbanisation
Limited capacity to develop and maintain an NSDI
The challenge is to transfer this cost-effective technology to developing countries – most of whom only have 30 per cent national cadastral coverage (FIG/GLTN, 2010) – to build capability that is ‘fit for purpose’ to meet the often informal land tenure and administrative systems, and credibility issues, faced by countries with limited or fragmented land data.
Dan Paull, PSMA Australia

8. Complementary bottom-up approaches offer fit-for-purpose solutions to address data gaps…
The principles of the UN-HABITAT STDM initiative are based on bringing the people and the land together. Using flexible and sometimes unconventional methods (backed by reliable satellite data), communities can support the mapping of their own data – if they have the right tools (FIG/GLTN, 2010). When data is sourced via cost-effective and reliable geospatial satellite imagery, it can then be clarified by the communities within informal land administration systems.
Participatory mapping activity with community leaders from Nalitoya, Zambia. Photo by Trinidad del Rio
International Food Policy Research Institute
Dan Paull, PSMA Australia

9. …While supranational platforms could help overcome Capacity challenges
PUMA, or Platform for Urban Management and Analysis, is a geospatial tool that allows users with no prior GIS experience to access, analyse and share urban spatial data in an interactive and customisable way. Developed by the East Asia and Pacific Urban Development and Disaster Risk Management unit of the World Bank’s Social, Urban, Rural and Resilience Global Practice (GPSURR), it adapts open-source software to the data needs of the urban development sector. 
Already there are global geospatial linkages being made through the World Bank’s Platform for Urban Management and Analysis (PUMA), the UN-HABITAT Global Land Tool Network (GLTN), and the United Nations Committee of Experts on Global Geospatial Information Management (UN-GGIM).
Dan Paull, PSMA Australia

10. To conclude: Top-down AND Bottom Up Approaches Combine to drive Sustainable LAND governance
TOP-DOWN TECHNOLOGY DRIVEN APPROACHES
FIT-FOR-PURPOSE LAND ADMINISTRATION
Deininger (2016) noted in a recent World Bank blog that these significant advances in technology can help nations to observe and track, encourage and enable greater participation, and improve transparency. He surmised, “Advances in earth observation, computing power, and connectivity have tremendous potential to help governments, and us at the World Bank, support better land management, and ultimately reduce poverty and promote shared prosperity” (Deininger, 2016).
BOTTOM-UP PARTICIPATORY APPROACHES
Dan Paull, PSMA Australia

11. Thank you
Dan Paull, PSMA Australia