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

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

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

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!

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

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

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

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 http://a4nh.cgiar.org/2014/11/06/participatory-mapping-with-a-gender-lens/ Dan Paull, PSMA Australia

…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

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

Thank you Dan Paull, PSMA Australia