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StGroup Conference – 15 September 2015
StGroup Conference – 15 September 2015
Overview• Introduction to GEOTERRAIMAGE (Pty) Ltd• Analysis and reporting requirements• African and South African datasets
• Spatial data products• Spatial data services
• Summary
StGroup Conference – 15 September 2015
GEOTERRAIMAGE (Pty) Ltd• Established in 1999• Clear focus on information provision:
– Remote sensing / Image interpretation– Field work– GIS Data fusion / Spatial modeling
• Other GISc services– GISc Services & consultancy
• Over 200 years of experience
StGroup Conference – 15 September 2015
GEOTERRAIMAGE (Pty) LtdProducts / Services
StGroup Conference – 15 September 2015
GEOTERRAIMAGE (Pty) LtdData Clients and Projects
• Vodacom• MTN• Cell-C• Nokia Siemens Networks• Telkom / Telkom Mobile• Telco Network Operators and
Service Providers across Africa• ESKOM
• AskAfrica• Aqynt• AfricaScope
• Peace Parks Foundation• African Parks Network
• Gauteng City Region Observatory• Statistics South Africa• Human Science Research Council• CSIR• CRUISE (Stellenbosch University)• Housing Development Agency
• Standard Bank• ABSA Bank
• City of Johannesburg• City of Tshwane
• TomTom • Nokia / HERE.com
StGroup Conference – 15 September 2015
GEOTERRAIMAGE (Pty) LtdPartnerships
• Spatial Technologies• TomTom South Africa• AfricaScope• SiQ• MetroGIS• Geo Data Design• Airbus (EADS)
StGroup Conference – 15 September 2015
Analysis and Reporting
Requirements
Unleashing the power of imagery, improving your business intelligence
StGroup Conference – 15 September 2015
Analysis and Reporting• Highlight where growth has occurred
• Where has densification occurred?
• Where has land use changed?Present
Future
Past
StGroup Conference – 15 September 2015
• Indicate Day-time versus night-time population
• Where is present and future demand?
• What is the potential for change in a given area?
Analysis and Reporting
Present
Future
Past
StGroup Conference – 15 September 2015
• Is there any indication of planned developments in an area?
• What is the demographic composition of an area?
• Where have landscapes or areas been transformed?
Analysis and Reporting
Present
Future
Past
StGroup Conference – 15 September 2015
StGroup Conference – 15 September 2015
Southern African Land Cover7 land cover classes
StGroup Conference – 15 September 2015
Southern African Land Cover7 land cover classes
No Class Area (km²) Percentage1. Water 14,949.6 1.9%
2. Bare earth 957.1 0.1%
3. Low vegetation (Grassland) 153,009.7 19.1%
4. Tree / Bush dominated areas 386724.8 48.1%
5. Tree dominated areas 246,116.4 30.6%
6. Cultivated (Commercial) 1,419.3
StGroup Conference – 15 September 2015
Sudan Land Cover7 land cover classes
StGroup Conference – 15 September 2015
African settlementsUrban / Village / Built-up
StGroup Conference – 15 September 2015
African settlementsUrban / Village / Built-up
No Class Area (km²)1. Urban / Villages 8,614.8
2. Central Business Districts 1.5
3. Industrial 146.9
StGroup Conference – 15 September 2015
Updating African settlementsAverage visible light
StGroup Conference – 15 September 2015
Updating African settlementsStable visible light
StGroup Conference – 15 September 2015
African population distribution
StGroup Conference – 15 September 2015
African population distribution
No Class Area (km²) Population1. Concentrated 1,193.3 16,562,536
2. Scattered 211,295.4 20,196,760
3. Water 52,621.2 0
StGroup Conference – 15 September 2015
African clutter datasets (40m)
StGroup Conference – 15 September 2015
African cities clutter datasets (10m)
StGroup Conference – 15 September 2015
African cities datasets• There is limited detailed information available• The existing data is costly and may be of
limited value• We are working towards identifying the
relevant information requirements for major cities in Africa
• Dataset need to be sustainable and consistent across the continent
StGroup Conference – 15 September 2015
StGroup Conference – 15 September 2015
Area based land useGauteng (ex Smallholdings) – 1990/2013
Land-use 1990 (km²) 2013 (km²) GrowthBuilt-up 180.2 213.2 18.3%Commercial 120.8 144.5 19.6%Industrial 129.3 153.7 18.9%Informal 83.1 222.2 167.4%Residential 848.3 1022.0 20.5%Townships 165.8 361.9 118.3%
StGroup Conference – 15 September 2015
Area based land useThulamela Local Municipality – 1990/2013
StGroup Conference – 15 September 2015
National land cover dataset72 land cover classes
StGroup Conference – 15 September 2015
National land cover dataset72 land cover classes
StGroup Conference – 15 September 2015
Land cover change detection Emalahleni (1990/2013)
StGroup Conference – 15 September 2015
StGroup Conference – 15 September 2015
Urban land cover (2010)
StGroup Conference – 15 September 2015
Urban land cover (2014)
StGroup Conference – 15 September 2015
New Developments (2013)
StGroup Conference – 15 September 2015
New Developments (2014)
StGroup Conference – 15 September 2015
Building based land use (2012)
Residential1,014,320
Non-residential86,365
StGroup Conference – 15 September 2015
Building based land use (2012)
Informal157,674
Backyard294,116
StGroup Conference – 15 September 2015
Building based land useResidential analysis (2001/2012)
Gauteng Residential Land Uses Formal Informal Backyard
20011,195,031 558,927 266,584
59.1% 27.7% 13.2%1,195,031 825,511
59.1% 40.9%
20121,604,249 593,158 816,283
53.2% 19.7% 27.1%1,604,249 1,409,441
53.2% 46.8%
StGroup Conference – 15 September 201538 2000 2009
Diepsloot densification
StGroup Conference – 15 September 2015
Building based land useResidential versus Non-Residential (2001/2012)
StGroup Conference – 15 September 2015
Super EA Summary Dataset• Provide socio-economic, demographic and
activity indicators– Integrating diverse datasets
• Consistent and easy to use reporting environment – Using the StatsSA 2011 EAs– All data standardised and
reported at this level
StGroup Conference – 15 September 2015
Historical Growth
FutureGrowth
Population
Demographics
Lifestyle
Residential
Land Use
Building Footprints
Landscape
StGroup Conference – 15 September 2015
Super EA Based IndicatorsNo Class Value1. Total Population 539
2. Total Households 233
3. Daytime population 500 to 1,000
4. Dominant LSM 10
5. Dominant Age class 30 to 34
6. Dominant Race Black
7. Dominant Gender Male
8. Primary Land Use Residential
9. Secondary Land Use Commercial
No Class Value10. Size of Commercial
buildings10,500m³
to 31,800m³
11. Major change has occurred since 2001
12. Change has been in residential land use
13. Chance of change in the future
67%
StGroup Conference – 15 September 2015
Building Based Land Use (National)
No Class % of Residential1. Informal 12.0%
2. Formal Residential 18.2%
3. Township 17.7%
4. Villages 52.1%
StGroup Conference – 15 September 2015
Population distribution dataset
StGroup Conference – 15 September 2015
Summary
Unleashing the power of imagery, improving your business intelligence
StGroup Conference – 15 September 2015
Summary• Imagery is under utilised as an additional
source of information• We are able to quantify historical land use
change• We are able to assist in forecasting change in
the future• Datasets can be developed for areas where
imagery is available
StGroup Conference – 15 September 2015
Summary• We are striving to provide South African
equivalent data for Africa • We are working to understand the economies
of scale and the role-players in Africa• Working closely with existing and new
business partners to provide a complete solution
StGroup Conference – 15 September 2015