National Geo-spatial Information Aslam Parker

Applicable Legislation: NGI in existence since 1920 Land Survey Act, 1997 (Act 8 of 1997) – Sec 3A – duties of Chief Director SA Geographic Names Council – CD: NGI is a permanent member Spatial 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

1.National Geodetic and Control Survey Services 2.National Aerial Photography and Imagery 3.National Maps and Geo-Spatial Information 4.Implement South African Spatial Data Infrastructure 5.Professional and Advisory Services NGI: Key Products and 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) 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, Provincial through to Local Municipality levels which require land-cover / land-use data in support of management, monitoring, review and planning purposes. IDP’s, SDF’s, EIA’s

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 – Standards not clear and still needs to be defined. To date, 12 pilot sites and North West province 3. National Mapping & Geo-spatial Information Programme (Land Cover)

South African Land Cover Legend

Pilot Land Cover Data

Methodology: collaborating with CSIR, researching multitemporal, multisensor solution for Land Cover MODIS-like processing (building on 10+ years MODIS experience) WELD installed at CSIR, South Africa – data back bone Collaboration with CSIR

– Area km2 – Official Land cover map of KZN SPOT5 (GeoTerra Image) – Training and validation data were generated from land cover map – centroids (single 30m pixel) of land cover polygons larger than 2 ha (N= sites). CSIR Landsat Study Area

Land cover map from 7 Landsat bands of 4 seasons – 78% accurate

No global classification system for land sue Methodology (work in progress) Actual Land Use vs Zoned/ Planned Land Use NGI initial proposal: 14 Main classes and 60 sub- classes. – 1. Agriculture & Fisheries, 2 Forestry, 3. Conservation, 4, 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 What about leisure/holiday resorts, recreation trails, beach, recreational swimming/tidal pools etc 3. National Mapping & Geo-spatial Information Programme (Land Use)

General – There is not enough skill and capacity in industry – – Need automated classification methods Land Cover and Land Use- need for automation Completely Manual Semi-automated Pixel based classification Fully Automated Object oriented classification Cost Time

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