l l f National Geo-spatial Information

National Geo‐spatial Information
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Aslam Parker
Applicable Legislation:
• NGI in existence since 1920 • Land Survey Act, 1997 (Act 8 of 1997)
– Sec 3A –
S 3A duties of Chief Director
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• SA Geographic Names Council
– CD: NGI is a permanent member
• Spatial
Spatial Data Infrastructure Act, 2003 (Act 54 of Data Infrastructure Act 2003 (Act 54 of
2003)
– Besides cadastral data, NGI is by far the largest collector and custodian of spatial information in SA
NGI: Key Products and Services
1 National Geodetic and Control Survey Services
1.
National Geodetic and Control Survey Services
2 National Aerial Photography and Imagery
2.
National Aerial Photography and Imagery
3. National Maps and Geo
National Maps and Geo‐Spatial
Spatial Information
Information
4. Implement South African Spatial Data Implement South African Spatial Data
Infrastructure
5. Professional and Advisory Services
2. National Imagery Acquisition Programme
• Since 2008, all imagery acquired will be multispectral (Pan, R,G,B and NIR)
3. National Mapping & Geo‐spatial Information Programme (Land Cover)
Information Programme
(Land Cover)
• Drivers behind the need for land‐cover
– Significant number of legislative (and some voluntary) requirements that need land‐cover as either direct or indirect inputs to support reporting requirements on a regular basis. • eg NEMBA), NEMA, National Water Act Desertification, National Forest Act, etc…
– Also operational departmental requirements from National, l
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Provincial through to Local Municipality levels which require l d
land‐cover / land‐use data in support of management, /l d
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monitoring, review and planning purposes. • IDP
IDP’ss, SDF
SDF’ss, EIA
EIA’ss
3. National Mapping & Geo‐spatial Information Programme (Land Cover)
Information Programme
(Land Cover)
• Last National Programme NLC 1996, NLC2000 • Some provincial land cover datasets done as projects
• For Land Cover: – LCCS based classification with lower levels been defined, however, not widely adopted
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– Standards not clear and still needs to be defined.
• To date, 12 pilot sites and North West province
To date 12 pilot sites and North West pro ince
South African Land Cover Legend
Pilot Land Cover Data
Collaboration with CSIR
• Methodology: collaborating with CSIR , researching multitemporal, multisensor solution for Land Cover
for Land Cover
• MODIS‐like processing (building on 10+ years MODIS experience) O S
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• WELD installed at CSIR, South Africa –
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data back bone
CSIR Landsat Study Area
– Area 92100 km2 – Official Land cover map of KZN 2008 ‐
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SPOT5 (GeoTerra
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Image))
– Training and validation data were generated from land cover map map
– centroids (single 30m pixel) of land cover polygons larger than 2 ha (N= 242 620 sites). Land cover map from 7 Landsat bands of 4 seasons – 78% accurate
of 4 seasons 78% accurate
3. National Mapping & Geo‐spatial Information Programme (Land Use)
Information Programme
(Land Use)
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No global classification system for land sue
Methodology (work in progress)
Actual Land Use vs Zoned/ Planned Land Use
Actual Land Use vs
Zoned/ Planned Land Use
NGI initial proposal: 14 Main classes and 60 sub‐
classes.
classes
– 1. Agriculture & Fisheries, 2 Forestry, 3. Conservation, 4, Mining, 5. Transport, 6. Utilities & Infrastructure, 7.
Mining, 5. Transport, 6. Utilities & Infrastructure, 7. Residential, 8. Community Services, 9. Business & Retail, 10. Industrial & Commercial, 11. Recreation & Leisure, 12. Defense, 13. Unused Land, 14. Water
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• What about leisure/holiday resorts, recreation trails, beach, recreational swimming/tidal pools etc
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Land Cover and Land Use‐ need for automation
• General
– There is not enough skill and capacity in industry –
– Need automated classification methods
Need automated classification methods
Semi‐automated Pixel based classification
based classification
Fully Automated Object oriented classification
T
Time
Cost
Completely Manual
Thank You
aparker@ruraldevelopment.gov.za
www.ngi.gov.zav